Articles and Papers

  • 2011-2020

    2020

    1. A. Ghosh and R. Chellappa, “Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation – Learning Directly from Synthetic Data”, SN Computer Science 1(1): 25:1-25:21, 2020.
    2. T. Strat, R. Chellappa and V.M. Patel, “Vision and Robotics”, Special Issue of AI Magazine, vol. 41, pp. 49-65, Summer 2020.
    3. B. Lu, J.C. Chen and R. Chellappa, “UID-GAN: Unsupervised Image Deblurring via Disentangled Representations”, IEEE Transactions on Biometrics, Behavior and Identity Science, vol. 2, pp. 26-39, Jan. 2020.
    4. J. Zheng, R. Ranjan, C. H. Chen, J. C. Chen, C. D. Castillo, and R. Chellappa “An Automatic System for Unconstrained Video-based Face Recognition”, IEEE Transactions on Biometrics, Behavior and Identity Science, vol. 2, pp. 194 – 209, July 2020.
    5. L. Gonzalez-Manzano, U. Mahbub, J.M. deFuentes and R. Chellappa, “Impact of injection attacks on sensor-based continuous authentication for smartphone”, Comput. Commun. Vol. 163, pp. 150-161, Nov. 2020.

    2019

    1. Lu, J.C. Chen, C. Castillo and R. Chellappa, “An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification”, IEEE Trans. on Biometrics, Behavior and Identity Science, vol. 1, pp. 42-55, Jan. 2019.
    2. Mahbub, S. Sarkar and R. Chellappa, “Partial Face Detection in the Mobile Domain”, Image and Vision Computing, vol. 82, pp. 1-17, 2019.
    3. Liu, G. Zhao, J. Chen, R. Chellappa, M. Pietikainen, “From BoW to CNN: Two Decades of Texture Representation for Texture Classification”, Intl. Jl. of Computer Vision, vol. 127, pp 74–109, Jan. 2019.
    4. Ranjan, A. Bansal, J. Zheng, H. Xu, J. Gleason, B. Lu, A. Nanduri, J.C.Chen, C. D. Castillo, and R. Chellappa, “A Fast and Accurate System for Face Detection, Identification, and Verification”, IEEE Trans. on Biometrics, Behavior and Identity Science, vol. 1, pp. 82-96, April 2019.
    5. Singh, R. Singh, M. Vatsa, N. Ratha and R. Chellappa, “Recognizing Disguised Faces in the Wild”, IEEE Trans. on Biometrics, Behavior and Identity Science, vol. 1, pp. 97-108, April 2019.
    6. Mahbub and R. Chellappa, “Continuous Authentication of Smartphones Based on Application Usage”, IEEE Transactions on Biometrics, Behavior and Identity Science, Accepted for Publication, IEEE Trans. on Biometrics, Behavior and Identity Science.

    2018

    1. Ranjan, et al., “Deep Learning for Understanding Faces”, IEEE Signal Processing Magazine, vol. 35, pp. 66-83, Jan. 2018.
    2. Ranjan, V.M. Patel and R. Chellappa, “HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition”, IEEE Trans. Patt. Anal. and Mach. Intelligence, vol. 41, pp. 121-135, Jan. 2018.
    3. C. Chen, R. Ranjan, S. Sankaranarayanan, A. Kumar, C.H. Chen, V.M. Patel, C. Castillo and R. Chellappa, “Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks”, International Jl. of Computer Vision, vol. 126, pp. 272-291, 2018.
    4. Mahbub, S. Sarkar and R. Chellappa, “Segment-based Methods for Facial Attribute Detection from Partial Faces”, IEEE Trans. On Affective Computing, March 2018.
    5. Lan, P.C. Yuen, S. Zhang and R. Chellappa, “Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-based Tracker”. IEEE Trans. Image Processing, vol. 27, pp.2022-2037, April 2018.
    6. J, Phillips, et al., “Face Recognition at its Best: Forensic Examiners, Super-recognizers, and Algorithms”, Proc. National Academy of Sciences, vol. 115, May 2018.
    7. Wei-An Lin, J.C. Chen, R. Ranjan, A. Bansal, S. Sankaranarayanan, C. D. Castillo, and R. Chellappa, “Proximity-Aware Hierarchical Clustering of Unconstrained Faces”, Image and Vision Computing, vol. 77, pp. 33-44, 2018,
    8. Kumar, A. Alavi and R. Chellappa, “KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors”, Image and Vision Computing, vol. 79, pp. 49-62, 2018.
    9. H. Chen, V. M. Patel and R. Chellappa, “Learning from Ambiguously Labeled Face Images”, IEEE Trans. on Patt. Anal. and Mach. Intelligence, vol. 40, pp. 1653-1667, 2018.
    10. J. O’Toole, C.D. Castillo, C.J. Parde, M.Q. Hill, and R. Chellappa, “Face Space Representations in Deep Convolutional Neural Networks”, Trends in Cognitive Sciences, vol. 22, Sept. 2018, Pages 794-809.

    2017

    1. Gibert, V. M. Patel, and R. Chellappa, “Deep Multi-task Learning for Railway Track Inspection”, IEEE Trans. on Intelligent Transportation Systems, vol. 18, pp. 153-164, Jan. 2017.
    2. C. Chen, V.M. Patel, L. Liu, V. Kellokumpu, G. Zhao, M. Pietikäinen, and R. Chellappa, ”Robust Local Features for Remote Face Recognition”, Image and Vision Computing, vol. 64, pp. 34–46, 2017.
    3. Samangouei, V. M. Patel and R. Chellappa, “Facial Attributes for Active Authentication on Mobile Devices”, Image and Vision Computing, vol. 58, February 2017, Pages 181-192, Feb. 2017.
    4. Hara and R. Chellappa, “Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation”, Intl. Jl. of Computer Vision, vol. 122, pp. 292-312, April 2017.
    5. Zhang, V. M. Patel and R. Chellappa, “Low-Rank and Joint Sparse Representations for Multi-modal Recognition”, IEEE Transactions on Image Processing, vol. 26, pp. 4741-4752, Oct. 2017.
    6. Zheng, Z. Jiang, R. Chellappa, and P. J. Phillips, “Submodular Attribute Selection for Visual Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, pp. 2242-2255, Nov. 2017.

    2016

    1. Warnell, P. David and R. Chellappa, “Ray Saliency: Bottom-Up Visual Saliency for a Rotating and Zooming Camera”, International Jl. of Computer Vision, vol. 116, pp. 174-189, Jan. 2016.
    2. Zheng, Z. Jiang and R. Chellappa, “Cross-view Action Recognition via Transferable Dictionary Learning”, IEEE Transactions on Image Processing, vol. 25, pp. 2542-2556, June 2016.
    3. M. Patel, R. Chellappa, D. Chandra and B. Barbello, “Continuous User Authentication on Mobile Devices”, IEEE Signal Processing Magazine, vol. 33, pp. 49-61, July 2016.
    4. Vemulapalli, F. Arrate and R. Chellappa, “R3DG Features: Relative 3D Geometry-based Skeletal Representations for Human Action Recognition”, Computer Vision and Image Understanding, vol. 152, pp. 155-166.
    5. Du and R. Chellappa, “Face Association for Videos Using Conditional Random Fields and Max-Margin Markov Networks”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 38, pp. 1762-1773, 2016.

    2015

    1. C. Chen, V.M. Patel, R. Chellappa, P.J. Phillips, “Salient Views and View-dependent Dictionaries for Object Recognition”, Pattern Recognition: Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition, vol. 48, pp. 3053-3066, 2015.
    2. M. Patel, R. Gopalan, R. Li, and R. Chellappa, “Visual Domain Adaptation: A Survey of Recent Advances,” IEEE Signal Processing Magazine, vol. 32, pp. 53 – 69, May 2015.
    3. Punnappurath, A. N. Rajagopalan, S. Taheri, R. Chellappa and G. Seetharaman, “Face Recognition across Non-Uniform Motion Blur, Illumination, and Pose”, IEEE Trans. on Image Processing, vol. 24, pp. 2067 – 2082, July 2015.
    4. Srivastava, J. Pillai, V.M. Patel and R. Chellappa, “Multiple Kernel-based Dictionary Learning for Weakly Supervised Classification”, Pattern Recognition Journal, vol. 48, pp. 2667-2675, Aug. 2015.
    5. Srivastava, J. Pillai, V.M. Patel and R. Chellappa, “Generalized Dictionaries for Multiple Instance Learning”, Intl. Jl. of Computer Vision, vol. 114, pp. 288-305, Sept. 2015.
    6. M. Patel, N. K. Ratha, and R. Chellappa, “Cancelable biometrics: A review,” IEEE Signal Processing Magazine: Special Issue on Biometric Security and Privacy, vol. 32, pp. 54-65, Sept. 2015.
    7. Shekhar, V.M. Patel and R. Chellappa, “Coupled Projections for Adaptation of Dictionaries”, IEEE Transactions on Image Processing, vol. 24, pp. 2941-2954, Oct. 2015.
    8. C. Chen, V.M Patel, P.J. Phillips and R. Chellappa, “Dictionary-based Face and Person Recognition from Unconstrained Video”, IEEE Access: Special Issue on 4D’s of Machine Learning for Biometrics: Deep Learning, Dictionary Learning, Domain Adaptation, and Distance Metric Learning, vol. 3, pp. 1783 – 1798, Oct. 2015.
    9. Srivastava, V.M. Patel and R. Chellappa, “Non-Linear Dictionary Learning with Partially Labeled Data”, Pattern Recognition Journal, vol. 48, no. 11, pp. 283-3292, Nov. 2015 (Invited).
    10. Warnell, S. Bhattacharya, R. Chellappa and T. Basar, “Adaptive-Rate Compressive Sensing Using Side Information”, IEEE Trans. on Image Processing, vol. 24, pp. 3846 – 3857, Nov. 2015.
    11. V. Nguyen, H. T. Ho, V. M. Patel, and R. Chellappa, “DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning”, IEEE Trans. on Image Processing, vol. 24, pp. 5479 – 5491, Dec. 2015.
    12. Batool and R. Chellappa, “Fast Detection of Facial Wrinkles based on Gabor Features using Image Morphology and Geometric Constraints”, Pattern Recognition Journal, vol. 48, pp. 642 – 658, 2015.
    13. Qiu and R. Chellappa, “Compositional Dictionaries for Domain Adaptive Face Recognition”, IEEE Trans. on Image Processing, vol. 24, pp.. 5152 – 5165, Dec. 2015.
    14. Lan, A. J. Ma, P. C. Yuen, and R. Chellappa, “Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking”, IEEE Trans. on Image Processing, vol. 24, pp. 5826-5841, Dec. 2015.

    2014

    1. Pillai, M. Puertas, and R. Chellappa, Sensor Adaptation in Iris Recognition”, Accepted for Publication, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 36, pp. 73-85, Jan. 2014.
    2. Y. Liu, O. Tuzel, S. Ramalingam, and R. Chellappa, “Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function subject to a Matroid Constraint”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 36, pp. 99-112, Jan. 2014.
    3. Shekhar, V. Patel, N. Nasrabadi and R. Chellappa, “Joint Sparse Representation for Robust Multimodal Biometrics Recognition”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 36, pp. 113-126, Jan. 2014.
    4. M. Patel, G. R. Easley, R. Chellappa, and N. M. Nasrabadi, “Separated Component-Based Restoration of Speckled SAR Images”, IEEE Trans. on Geoscience and Remote Sensing, vol. 52, pp. 1019-1029, Feb 2014.
    5. Du, A. Sankaranarayanan and R. Chellappa,” Robust Face Recognition from Multi-View Videos”, IEEE Trans. on Image Processing, vol. 23, pp. 1105-1107, March 2014.
    6. H. Chen, F. Julien, G. Kurillo, T. Andriacchi, R. Bajcsy, and R. Chellappa, “Camera Networks for Healthcare, Tele-immersion and Surveillance”, IEEE Computer, vol. 47, pp. 26-26, May 2014.
    7. Li, P. Turaga, A. Srivastava and R. Chellappa, “Differential Geometric Representations and Algorithms for Some Pattern Recognition and Computer Vision Problems”, Pattern Recognition Letters, vol. 43, pp. 3-16, 2014. Invited Paper. (ICPR 2012 Special Issue.)
    8. T. Smith, M.J. Lewis and R. Chellappa, “Detection, Localization and Tracking of Shock Contour Salient Points in Schlieren Sequences”, American Institute of Aeronautics and Astronautics Journal, vol. 52, June 2014.
    9. M. Patel, Y. C. Chen, R. Chellappa, and P. J. Phillips, “Dictionaries for Image and Video-based Face Recognition” Invited Paper , 30th Anniversary Issue, Jl. Opt. Society of America, vol. 31, pp. 1090-1103, May 2014.
    10. Srivastava, V.M. Patel and R. Chellappa, “Multiple Kernel learning for Sparse Representation-based Classification”, IEEE Trans. on Image Processing, vol. 23, pp. 3013-3024, July 2014.
    11. Taheri, Q. Qiu and R. Chellappa, “Structure-Preserving Sparse Decomposition for Facial Expression Analysis,” IEEE Transactions on Image Processing, vol. 23, pp. 3590-3603, Aug. 2014.
    12. E. Fathy, V. M. Patel, T. Yeh, Y. Zhang, R. Chellappa, and L. S. Davis, “Screen-based Active User Authentication”, Pattern Recognition Letters, vo. 42, pp. 122-127, 2014.
    13. Batool and R. Chellappa, “Detection and Inpainting of Facial Wrinkles using Texture Orientation Fields and Markov Random Field Modeling”, IEEE Trans. on Image Processing, vol. 23, pp. 3773-3788, Sept. 2014.
    14. Gopalan, R. Li and R. Chellappa, “Unsupervised Adaptation across Domain Shift by Generating Intermediate Data Representations”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 36, pp. 2288-2302, Nov.2014.
    15. Qiu, V. Patel and R. Chellappa, “Information-theoretic Dictionary Learning for Image Classification”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 36, pp. 2173-2184, Nov. 2014.
    16. Gibert-Serra1, V.M. Patel, D. Labate, and R. Chellappa, “Discrete Shearlet Transform on GPU with Applications in Anomaly Detection and Denoising”, EURASIP Journal on Applied Signal Processing, vol. 64, 2014.
    17. Y-C. Chen, V. M. Patel, R. Chellappa, and P. J. Phillips, “Ambiguously labeled learning using dictionaries,” IEEE Transactions on Information Forensics and Security: Special Issue on Facial Biometrics in the Wild, vol. 9, no. 12, pp. 2076-2088, Dec. 2014.

    2013

    1. R Li and Chellappa, “Spatio-Temporal Alignment of Visual Signals on a Special Manifold”, IEEE Trans. on Patt. Anal. and Mach. Intelligence, vol. 35, pp. 697-715, March 2013.
    2. Li, R. Chellappa and S. K. Zhou, “Recognizing Interactive Group Activities Using Temporal Interaction Matrix and its Riemannian Statistics”, Intl. Jl. Of Computer Vision, vol. 101, pp. 305-328, 2013.
    3. T. Ho and R. Chellappa, “Pose-Invariant Face Recognition Using Markov Random Fields”, IEEE Transactions on Image Processing, vol. 22, pp. 1573-1584, April 2013.
    4. Zou, P.C. Yuen and R. Chellappa, “A Low Resolution Face Tracker Robust to Illumination Variations”, IEEE Trans. on Image Processing, vol. 22, pp. 1726-1739, May 2013.
    5. Vageeswaran, K. Mitra and R. Chellappa, “Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization”, IEEE Trans. on Image Processing, vol. 22, pp. 1362-1372, April 2013.
    6. Mitra, A. Veeraraghavan and R. Chellappa, “Analysis of Sparsity-Based Robust Regression Algorithms”, IEEE Trans. on Signal Processing, vol. 61, pp. 1249-1257, May 2013.
    7. Taheri, A. Sankaranarayanan and R. Chellappa,’ Joint Albedo Estimation and Pose Tracking from Video”, IEEE Trans. on Patt. Anal. and Mach. Intelligence, vol. 35, pp. 1674-1689, July 2013.
    8. Yi-Chen Chen, S. Sastry, V. M. Patel, P. J. Phillips, and R. Chellappa, Rotation and Scale Invariant Clustering and Dictionary Learning”, IEEE Trans. on Image Processing, vol. 22, pp. 2166-2180, June 2013.
    9. S. Vijay, C. Paramanand, A.N.  Rajagopalan, and R. Chellappa, “Non-uniform Blurring in HDR Image Reconstruction”, IEEE Trans. on Image Processing, vol. 22, pp, 3739-3750, Oct. 2013.
    10. A. Shaw and R. Chellappa. “Regression on Manifolds Using Data-Dependent Regularization with Applications in Computer Vision,” Statistical Analysis and Data Mining, Special Issue: JSM 2012, vol. 6, no. 6, pp. 519-528, December 2013.
    11. V. Nguyen, V. M. Patel, N. M. Nasrabadi, and R. Chellappa, “Design of Non-Linear Dictionaries for Object Recognition”, IEEE Trans. on Image Processing, vo. 22, pp. 5123-5135, Dec. 2013.
    12. C. Sankaranarayanan, P. K. Turaga, R. Chellappa, and R. G. Baraniuk, “Compressive Acquisition of Linear Dynamical Systems”, SIAM Jl. Imaging Science, vol. 6, pp. 2109–2133, 2013.
    13. Taheri, V.M. Patel and R. Chellappa, “Component-based Recognition of Faces and Facial Expressions”, IEEE Trans. on Affective Computing, vol. 4, pp. 360-371, Dec. 2013.

    2012

    1. M. Patel, R. Maleh, A. C. Gilbert and R. Chellappa, “Gradient-based image recovery methods from incomplete Fourier measurements,” IEEE Trans on Image Processing, vol. 21, pp. 94-105, Jan. 2012.
    2. Gopalan, S. Taheri, P. Turaga and R. Chellappa, “A Blur-robust Descriptor with Applications to Face Recognition”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 34, pp. 1220-1226, June 2012
    3. T. Smith, M. J. Lewis and R. Chellappa, “Extraction of Oblique Structures in Noisy Schlieren Sequences using Computer Vision Techniques”, American Institute of Aeronautics and Astronautics Journal, .vol. 50, pp. 1145-1155.
    4. Chellappa, J. Ni and V. M. Patel, “Remote identification of faces: Problems, prospects, and progress”, Special Issue on Biometrics, Pattern Recognition Letters, vol. 33, pp, 1849-1859 Oct. 2012. (Invited Paper).
    5. Gopalan, T. Hong, M. Shneier, and R. Chellappa, A Learning Approach towards Detection and Tracking of Lane Markings”, IEEE Trans. on Intelligent Transportation Systems, vol. 13, pp. 1088 – 1098, Sept. 2012.
    6. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, Dictionary-based Face Recognition Under Variable Lighting”, IEEE Trans. on Information Forensics and Security, vol. 7, pp. 954-965, 2012.
    7. Wu, P. Turaga and R. Chellappa, “Age Estimation and Face Verification Across Aging Using Landmarks”, IEEE Trans. on Information Forensics and Security, vol. 7, pp. 1780-1788, Dec. 2012.

    2011

    1. F. Abdelkader, W. Abd-Almageed, A. Srivastava and R. Chellappa, “Silhouette-based Gesture and Action Recognition via Modeling Trajectories on Riemannian Shape Manifolds”, Computer Vision and Image Understanding, pp. 439-455, 2011.
    2. M. Patel, N.M. Nasrabadi, and R. Chellappa, “Sparsity-motivated Automatic Target Recognition”, Applied Optics, vol. 50, pp. 1425-1433, April 2011.
    3. K. Pillai, V. Patel, R. Chellappa and N. Ratha, “Secure and Robust Iris Recognition Using Random Projections and Sparse Representations”, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 33, pp. 1877-1893, Sept. 2011.
    4. Turaga, A. Veeraraghavan, A. Srivastava, and R. Chellappa, “Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video based  Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, pp. 2273-2286, April 2011.
    5. Ni, V. Patel, P. Turaga and R. Chellappa, ´Example-Driven Manifold Priors for Image Deconvolution”, IEEE Trans. on Image Processing, vol. 20, pp. 3086-3096, Nov. 2011.
    6. Ramachandran, A. Veeraraghavan and R. Chellappa, “A Fast Bilinear Structure from Motion Algorithm Using a Video Sequence and Inertial Sensors,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.33,  pp.186-193, Jan. 2011.

  • 2001-2010

    2010

    1. Broadwater and R. Chellappa, “Adaptive Threshold Estimation via Extreme Value Theory”, IEEE Trans. on Signal Processing, vol. 58, pp. 490-500, Feb. 2010.
    2. Chellappa, P. Sinha and J. Phillips, “Face Recognition by Computers and Humans”, Cover Feature, Spl. Issue on Identity Science, IEEE Computer Magazine, vol. pp. 46-55, Feb. 2010.
    3. Guo and R. Chellappa, “Video Metrology Using a Single Camera”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 32, pp. 1329-1335, July 2010.
    4. Hao, A. C. Sankaranarayanan and R. Chellappa, “Online Empirical Evaluation of Tracking Algorithms”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 31, pp. 1443-1458, August 2010.
    5. C. Sankaranarayanan, R. Patro, P. Turaga, A. Varshney and R. Chellappa, “Modeling and Visualization of Human Activities for Multi-Camera Networks”, EURASIP Journal on Image and Video Processing, vol. 17, pp. 1606-1624, 2010.
    6. Albanese, R. Chellappa, N. Cuntoor, V. Moscato, A. Picariello, V. S. Subrahmanian, and Octavian Udrea, “PADS: A Probabilistic Activity Detection Framework for Video Data”, IEEE Trans. on Patt. Anal.and Mach. Intelligence, vol. 32, pp. 2246-2261, Dec. 2010.
    7. Ran, Q. Zheng, R. Chellappa and T. Strat, “Applications of a Simple Characterization of Human Gait in Surveillance”, IEEE Trans. Syst., Man and Cybernetics, vol. 40, pp. 1009-1020, Nov. 2010.
    8. Jie Shao, S.K. Zhou and Rama Chellappa, “Height Estimation from a Single Video”, IEEE Trans. on Image Processing, vol. 19, pp. 2221-2232, Aug. 2010.
    9. Soma Biswas, Gaurav Aggarwal and Rama Chellappa, “An Efficient and Robust Algorithm for Shape Indexing and Retrieval”, IEEE Trans. on Multimedia, vol. 12, pp. 372-385, Aug.
    10. Shroff, P. Turaga and Rama Chellappa, “Video Pr´ecis: Highlighting Diverse Aspects of Videos”, IEEE Transactions on Multimedia, vol. 12, pp. 853-868, Dec. 2010.
    11. Vishal M. Patel and Glenn R. Easley and Dennis M. Healy and Rama Chellappa”, “Compressed Synthetic Aperture Radar.”, IEE Journal on Sel. Topics in Signal Processing, vol. 4, pp.244-254, 2010.

    2009

    1. Yue, D. Guarino and R. Chellappa, “Moving Object Verification in Airborne Video Sequences”, IEEE Transactions on Circuits and Systems for Video technology, Vol. 19, pp. 77-89, Jan. 2009.
    2. Cevher, R. Chellappa and J. H. McClellan, “Vehicle Speed Estimation Using Acoustic Wave Patterns”, IEEE Trans. on Signal Processing, vol. 57, pp. 30-47, Jan. 2009.
    3. Li, S. K. Zhou and R. Chellappa, “Appearance Modeling Using a Geometric Transform”, IEEE Trans. on Image Processing, vo. 18, pp. 889-902, April 2009.
    4. Ramanathan, R. Chellappa and S. Biswas, “Age Progression in Human Faces: A Survey”, Jl. of Visual Languages and Computing, April 2009.
    5. Biswas, G. Aggarwal and R. Chellappa, “Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery”, IEEE Trans. on Patt. Anal. and Mach. Intell., vol. 31, pp. 884-899, May 2009.
    6. Veeraraghavan, A. Srivastava, A. K. Roy-Chowdhury and R. Chellappa, “Rate-invariant Recognition of Humans and Their Activities”, IEEE Trans. on Image Processing, vol. 18, pp. 1326-1339, June 2009.
    7. Sundaresan and R. Chellappa, “Multi-camera Tracking of Articulated Human Motion Using Shape and Motion Cues”, IEEE Trans. on Image Processing, vol. 18, pp. 2114-2126, Sept. 2009.
    8. Turaga, A. Veeraraghavan and R. Chellappa, “Unsupervised View and Rate Invariant Clustering of Video Sequences”, in Computer Vision and Image Understanding (special issue on Video Analysis), vol. 113, pp. 353-371, March 2009.

    2008

    1. Yue and R. Chellappa, “Synthesis of Silhouettes and Visual Hull Reconstruction for Articulated Humans”, IEEE Transactions on Multimedia, vol. 10, pp. 1565-1577, Dec. 2008.
    2. Albanese, R. Chellappa, V. Moscato, A. Picariello, V.S. Subrahmanian, P. Turaga and O. Udrea, ” A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video”, IEEE Transactions on Multimedia, vol. 10, pp. 1429-1443, Dec. 2008.
    3. Turaga, R. Chellappa, V.S. Subrahmanian and O. Udrea, ” Machine Recognition of Human Activities: A Survey”, IEEE Transactions on Circuits and Systems for Video technology, vol. 18, pp. 1473 – 1488, Nov. 2008.
    4. Sundaresan and R. Chellappa, “Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1771-1785, Oct. 2008.
    5. C. Sankaranarayanan, A. Veeraraghavan and R. Chellappa, “Object Detection, Tracking and Recognition for Multiple Smart Cameras”, Proceedings of THE IEEE, vol. 96, pp. 1606-1624, Oct. 2008.
    6. C. Sankaranarayanan, A. Srivastava and R. Chellappa, ” Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering”, IEEE Transactions on Image Processing, vol. 17, pp. 737-748, May 2008.
    7. P. Cuntoor, B. Yegnanarayana and R. Chellappa, ” Activity Modeling Using Event Probability Sequences”, IEEE Trans. on Image Processing, vol. 17, pp. 594-607, April 2008.
    8. Veeraraghavan, R. Chellappa and M. Srinivasan, “Shape-and-Behavior-Encoded Tracking of Bee Dances”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 463-476, March 2008.
    9. Yue, W. Zhao and R. Chellappa, “Pose-Encoded Spherical Harmonics for Face Recognition and Synthesis Using a Single Image”, EURASIP Jl. on Applied Signal Processing, Jan. 2008.
    10. Abdelkader, Amit Roy Chowdhury, R. Chellappa and U. Akdemir, “Activity Representation Using 3D Shape Models”, EURASIP Jl. on Image and Video Processing, Jan. 2008.
    11. Moon and R. Chellappa, “3D Shape-Encoded Particle Filter for Object Tracking and its Application to Human Body Tracking”, EURASIP Jl. On Image and Video Processing, Jan. 2008.

    2007

    1. Broadwater and R. Chellappa, “Hybrid Detector for Subpixel Targets” IEEE Trans. on Patt. Anal and Mach. Intelligence, vol. 29, pp. 1891-1903, Nov. 2007.
    2. W. Joo and R. Chellappa, “Multiple-Hypothesis Approach for Multi-object Visual Tracking”, IEEE Transactions on Image Processing, vol. 16, pp. 2849-2854, Nov. 2007.
    3. Shao, F. Porikli and R. Chellappa, ” Estimation of Contour Motion and Deformation for non-Rigid Object Tracking, Jl. Optical society of America (A), vol. 24, pp. 2109-2121, August 2007.
    4. Chakrabarti, A.N. Rajagopolan and Rama Chellappa, “Super resolution of Face Images Using Kernel PCA Based Prior”, IEEE Trans. on Multimedia, vol. 9, pp. 888-892, June 2007.
    5. Cevher, A. Sankaranarayanar Jim McClellan and Rama Chellappa, “Target Tracking Using a Joint Acoustic-Video System”.  IEEE Trans. on Multimedia, vol. 9, pp. 715-727, June 2007.
    6. Kevin Zhou, G. Aggarwal, Rama Chellappa and David Jacobs, “Appearance Characterization of Linear Lambertian Objects. Generalized Photometric Stereo and Illumination-Invariant Face Recognition”, IEEE Trans. Patt. Anal and Mach. Intelligence, vol. 29, pp 230-245, Feb. 2007.
    7. Cuntoor and R. Chellappa, “Mixed State Models for Non-Stationary Multi-Object Activities”, EURASIP Jl. on Applied Signal Processing, Jan. 2007.

    2006

    1. Li and Rama Chellappa, “Structure from Planar Motion”, IEEE Trans. Image Processing, vol, 15, pp. 3466-3477, Nov. 2006.
    2. Ramanathan and Rama Chellappa, “ Face Verification Across Age Progression”, IEEE Transactions on Image Processing, vol. 15, pp. 3349-3361, Nov. 2006.
    3. Vaswani and Rama Chellappa, “Principal Component Null Space Analysis for Image and Video Classification”, IEEE Transactions on Image Processing, vol. 15, pp. 1816-1830, July 2006.
    4. Zhou and Rama Chellappa. “From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28. pp. 917-929, June 2006.
    5. Agrawal and R. Chellappa, “Robust Ego-Motion Estimation and 3D Model Refinement using Surface Parallax”, IEEE Transactions on Image Processing, vol. 15, pp. 1215-1225, May 2006.
    6. Parameswaran and Rama Chellappa, “Using 2D Project Invariance for Human Action Recognition”, International Journal of Computer Vision, vol. 66, Jan. 2006.

    2005

    1. Ashok Veeraraghavan, Amit K. RoyChowdhury and Rama Chellappa, “Matching Shape Sequences in Video with Applications in Human Movement Analysis”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, pp. 1896- 1909, Dec. 2005.
    2. Vaswani, A.K. Roy-Chowdhury, R. Chellappa, “Shape Activity”: A Continuous-State HMM for Moving/Deforming Shapes With Application to Abnormal Activity Detection”, IEEE Transactions on, Image Processing, vol. 14, pp. 1603 – 1616, Oct. 2005.
    3. Vasu Parameswaren and Rama Chellappa, “Human Action-Recognition Using Mutual Invariants”, Computer Vision and Image Understanding, vol. 98, pp. 295-325, Sep. 2005.
    4. Amit R. Chowdhury and Rama Chellappa, “Statistical Bias in 3-D Reconstruction from a Monocular Video”, IEEE Trans. Image Processing, vol. 4, pp. 1057-1062, Aug. 2005.
    5. N. Rajagopalan, R. Chellappa and N. T. Koterba, “Background Learning for Robust Face Recognition with PCA in the Presence of Clutter”, IEEE Transactions on Image Processing, vol. 14, pp.  832-843, June 2005.
    6. Zhou and Rama Chellappa, “Image-based Face Recognition under Illumination and Pose Variations “, Jl. Optical Society of America, A, vol. 22, pp. 217-229, Feb. 2005.
    7. Qian, R. Chellappa and Q. Zheng, “Bayesian Algorithms for Simultaneous Structure from Motion Estimation of Multiple Independently Moving Objects”, IEEE Transaction on Image Processing, vol. 14, pp. 94-109, Jan 2005.

    2004

    1. Zhou, R. Chellappa and B. Moghaddam, “Visual Tracking and Recognition Using Appearance-Based Modeling in Particle Filters”, IEEE Transactions on Image Processing, vol. 13, pp. 1491-1506, Nov. 2004.
    2. Qian and Rama Chellappa, “Bayesian Self Calibration of a Moving Camera”, vol. 95, pp. 287-316, Sept. 2004.
    3. Amit Kale, et al, “Identification of Humans Using Gait”, IEEE Trans. Image Processing, vol. 13, pp. 1163-1173, Sept. 2004.
    4. Amit R. Chowdhury and R. Chellappa, “An Information Theoretic Criterion for Evaluating the Quality of 3D Reconstruction,” IEEE Trans. Image Processing, vol. 13, pp. 960-973, July 2004.
    5. Amit R. Chowdhury, R. Chellappa and N. T. Keaton “Wide Baseline Image Registration with Applications to 3-D Face Modeling”, IEEE Transactions on Multimedia and Signal Processing, vol. 6, pp.423-434, June 2004.
    6. Qian and R. Chellappa, “Structure from Motion using Sequential Monte Carlo Methods”, Intl. Jl. Computer Vision, Vol. 59, pp. 5-31, 2004.

    2003

    1. Zhao, R. Chellappa, J. Phillips and A. Rosenfeld, “Face Recognition in Still and Video Images: A Literature Surrey”, ACM Computing Surveys, Vol. 35, pp. 399-458, Dec. 2003.
    2. Liu, R. Chellappa and A. Rosenfeld “Accurate Dense Optical Flow Estimation Using Adaptive Structure Tensors and a Parametric Model”, IEEE Trans. Image Processing, Vol. 12, pp.1170-1180, Oct. 2003.
    3. Amit R. Chowdhury and R. Chellappa, “Face Reconstruction from Video Using Uncertainty Analysis and a Generic Model”, Computer Vision and Image Understanding Special Issue on Face Recognition, Vol. 91, pp. 188-213, July 2003.
    4. Amit R. Chowdhury and R. Chellappa “Stochastic Approximation and Rate Distortion Analysis for Robust Structure from Motion”, Intl. Jl. Computer Vision, Vol. 55, pp. 27-53, 2003.
    5. Liu, R. Chellappa and A. Rosenfeld, “Fast Two-frame Multi-scale Dense Optical Flow Estimation Using Discrete Wavelet Filters”, Jl. Opt. Soc. of America, A, Vol. 2003.
    6. Zhou, V. Krueger and R. Chellappa, “Probabilistic Recognition of Human Face from Video”, Computer Vision and image Understanding, Special Issue on Face Recognition, Vol. 91, pp. 214-245, July 2003 .
    7. Banerjee and R. Chellappa “Statistical Physical Model for Foliage Clutter in Ultra-wideband Synthetic Aperture Radar Image”, Jl. Optical Society of America, A, Vol. 20. pp. 32-39, Jan. 2003.

    2002

    1. Moon, R. Chellappa and A. Rosenfeld, “Optimal Edge-Based Shape Detection”, IEEE Trans. Image Processing, Vol .11, pp. 1209-1227, Nov. 2002.
    2. Li and R. Chellappa, “A. Generic Approach to Simultaneous Tracking and Verification in Video”, IEEE Trans. Image Processing Vol. 11, pp. 530-544, May 2002.
    3. Moon, R. Chellappa and A. Rosenfeld, “Performance Analysis of a Simple Vehicle Detection Algorithm”, Image and Vision Computing, Vol. 20, pp. 1-13, Jan. 2002.

    2001

    1. N. Rajagopalan and R. Chellappa, “Higher-Order Statistics- Based Detection of Vehicles in Still Images”, Jl. Optical Society of America: A, Vol. 18, pp. 3037-3048, Dec. 2001.
    2. Qian, R. Chellappa and Q. Zheng, “Robust Structure from Motion Estimation Using Inertial Data”, Jl. Optical Society of America: A, Vol. 18, pp. 2982-2997, Dec. 2001.Li and R. Chellappa, “Face Verification through Tracking Facial Features”, Jl. Optical Society of America: A, Vol. 18, pp. 2969-2981, Dec. 2001.
    3. Zhao and R. Chellappa, “Symmetric Shape from Shading Using Self-Ratio Image”, Intl. Jl. Computer Vision Vol. 45, pp. 55-75, Oct. 2001.
    4. B. Li, et al., “Experimental Evaluation of FLIR ATR Algorithms”, Computer Vision, and Image Understanding, Vol. 84, pp. 5-24, Oct. 2001.

  • 1991-2000

    2000

    1. N. Rajagopalan, S. Chaudhuri and R. Chellappa, “Quantitative Analysis of Error Bounds in the Recovery of Depth from Defocused Image,” Jl. Opt. Society of America, A, Vol. 17, pp. 1722-1731, Oct 2000.
    2. Li, R. Chellappa, Q. Zheng and S. Der, “Model-Based Temporal Object Verification Using Video”, IEEE Trans. Image Processing, Vol. 10, pp. 897-908, June 2000.
    3. Zhao, D. Bhat, J. Wang, N. Nandhakumar and R. Chellappa, “A Reliable Descriptor for face Objects in Visual Content, Signal Processing: Image Communication”, Signal Processing ,Special Issue on MPEG-7, Vol. 16, pp. 123-136, 2000.
    4. Kuttikad and R. Chellappa, “Statistical Modeling and Analysis of High Resolution Synthetic Aperture Radar Images”, Statistics and Computing, Special Issue on Image Analysis, Vol. 10, pp. 91-182, April 2000.

    1999

    1. Shekhar, S. Moisan, R. Vincent , P. Burlina and R. Chellappa, “Knowledge-based Control of Vision Systems”, Image and Vision Computing , Vol. 17, pp. 667-683 1999.
    2. Banerjee, P. Burlina and R. Chellappa, “Adaptive Target Detection in Foliage Penetrating SAR Images Using Alpha-Stabe Models” (Correspondence), IEEE Trans. Image Processing, Vol. 8, pp. 1823-1831, Dec. 1999.
    3. Shekarforoush and R. Chellappa, “Data-driven Multi-channel Super resolution with Application to Video Sequences”, Jl. Opt. Society of America, A, Vol. 16, pp. 481-492, March 1999.
    4. Meth and R. Chellappa, “Stability and Sensitivity of Topographic Features for SAR Target Characterization”, Jl. Opt. Soc. America, A, Vol. 16, pp. 396-413, Feb. 1999.
    5. Shekhar, V. Govindu and R. Chellappa, “Multi-sensor Image Registration by Feature Consensus”, Pattern Recognition, Vol. 32, pp. 39-52, Jan. 1999.
    6. Srinivasan and R. Chellappa “Noise-resilient Optical Flow Estimation Using Overlapped Basis Functions”, Jl. Optical Society of America A, Vol. 16, pp. 493-509, March 1999.

    1998

    1. Srinivasan and R. Chellappa “Adaptive Source-Channel Subband Video Coding for Wireless Channels”, IEEE Jl. on Selected Areas in Communication, Vol. 16, pp. 1830-1839, Dec. 1998.
    2. Etemad, and R. Chellappa, “Separability-Based Multi-Scale Basis Selection and Feature Extraction for Signal and Image Classification”, IEEE Trans. Image Processing, vol. IP-7, pp. 1453-1465, Oct. 1998.
    3. C. Liu, T.S. Hong, M. Herman, T. Camus and R. Chellappa, “Accuracy vs Efficiency Trade-offs in Optical Flow Algorithms”, Computer Vision and Image Understanding, vol. 72, pp. 271-286, Dec. 1998.
    4. Kia, D. Doermann, A. Rosenfeld and R. Chellappa, “Symbolic Compression and Processing of Document Images”, Computer Vision and Image Understanding, Vol. 70, pp. 335-349, June 1998.
    5. Burlina and R. Chellappa, “Temporal Analysis of Motion in Video Sequences Through Predictive Operators”, Intl. Jl. Computer Vision, Vol. 28, pp. 175-192, May 1998.
    6. J. Kwon and R. Chellappa, “Region Adaptive Subband Image Coding”, IEEE Trans. Image Processing, Vol. IP-7, pp. 632-648, May1998.
    7. C. Liu, T.S. Hong, M. Herman and R. Chellappa, “Motion Model-Based Boundary Extraction and a Real-Time Implementation”, Computer Vision and Image Understanding, Vol. 70, pp. 87-100, April 1998.
    8. Chellappa, B. Girod, David Munson, M. Tekalp and M. Vetterli, “The Past Present and Future of Image and Multidimensional Signal Processing”, IEEE Signal Processing Society Magazine, Vol. 15, pp. 21-58, March 1998. (Invited Paper, On the occasion of 50-year anniversary of IEEE Signal Processing Society).

    1997

    1. B. Eom and R. Chellappa, “Non-Cooperative Target Classification Using Hierarchical Modeling of High Range Resolution of Radar Signatures”, IEEE Trans. Signal Processing, Vol. 45, pp. 2318-2327, Sept. 1997.
    2. S. Yao and R. Chellappa, “Selective Stabilization of Images Acquired by Unmanned Ground Vehicles”, IEEE Trans. Robotics and Automation, Vol. RA-13, pp.693-708, Oct. 1997.
    3. Etemad and R. Chellappa, “Discriminant Analysis for Recognition of Human Face Images”, Jl. Optical Society of America Vol. 14, pp. 1724-1733, August 1997.
    4. Burlina, R. Chellappa and C.L. Lin, “A Spectral Attentional Mechanism Tuned to Object Configurations”, IEEE Transactions Image Processing, Vol. 6, Issue 8, Pages: 1117-1128. June 1997.
    5. C. Liu, T.S. Hung, M. Herman, and R. Chellappa, “A General Motion Model and Spatio-Temporal Filters for Computing Optical Flow”, Intl., Jl., Computer Vision, Vol. 26, pp. 141-172, April 1997.
    6. Krishnamachari and R. Chellappa, “Multiresolution Gauss Markov Random Field Models”, IEEE Trans. Image Processing, Vol. IP-6, pp. 251-267, Feb 1997.
    7. Etemad, D. Doermann and R. Chellappa “Multiscale Document Page Segmentation Using Soft Decision Integration”, IEEE Trans. Patts. Anal. and Mach Intell, Vol. PAMI-19, pp. 92-96, Jan. 1997. (Correspondence).
    8. Chellappa, Q. Zheng, P. Burlina, C. Shekhar and K. Eom, “On the Positioning of Multi-Sensor Image Data for Image Exploitation and Target Recognition”, Proceedings of The IEEE, Vol. 85, pp. 120-138, Jan. 1997. (Invited paper).
    9. Der and R. Chellappa, “Probe Based Recognition of Targets in Infrared Imagery”, IEEE Trans. Image Processing, Vol. 6, Issue1, Pages: 92-102, Jan. 1997.

    1996

    1. Burlina and R. Chellappa, “Analyzing Looming Motion Components from their Spatio-Temporal Spectral Signature”, IEEE Trans. Patt. Anal. And Mach. Intelligence, Vol. PAMI-18, pp. 1029-1034, Oct 1996. (Correspondence)
    2. Krishnamachari and R. Chellappa, “Delineating Buildings by Grouping Lines with MRFs “, IEEE Trans. Image Processing, Vol. 5, pp. 164-168, Jan. 1996. (Correspondence).
    3. Balakirsky and R. Chellappa, “Performance Characterization of Image Stabilization Algorithms”, Real-time Imaging, Vol.12, pp. 297-313, 1996. (Invited paper).
    4. Morimoto and R. Chellappa, “Fast Electronic Digital Image Stabilization for off-Road Navigation”, Real-time Imaging, Vol. 2, pp. 285-296, 1996. (Invited paper).

    1995

    1. Bader, J. JaJa and R. Chellappa, “Scalable Data Parallel Algorithms for Texture Synthesis and Compression using Gibbs Random Fields”, IEEE Trans. Image Processing, Vol. 4, Issue 3, pp. 1456-1460, Oct 1995.
    2. S. Yao and R. Chellappa “Tracking a Dynamic Set of Feature Points”, IEEE Trans. Image Processing”, Vol. 4, Issued 10, pp. 1382-1395, Oct 1995.
    3. Chellappa, C.L. Wilson and S. Sirohey, “Human and Machine Recognition of Faces: A Survey” Proceedings of The IEEE, Vol. 83, pp. 705-740, May 1995.
    4. H. Wu and R. Chellappa, “Experiments on Estimating Motion and Structure Parameters Using Long Monocular Image Sequences”, Intl. Jl. Computer Vision, Vol. 15, pp.77-103, 1995.
    5. Venkateswar and R. Chellappa, “Hierarchical Stereo Matching Using Feature Groupings”, Intl. Jl. Computer Vision, Vol. 15, pp. 245-269, 1995.
    6. Zheng and R. Chellappa, “Automatic Feature Point Extraction and Tracking in Image Sequences for Arbitrary Camera Motion.” Intl. Jl. Computer Vision, Vol. 15, pp. 31-76 1995.

    1994

    1. Greenspan, R. Goodman, R. Chellappa and C.H. Anderson, “Learning Texture Discrimination Rules in a Multiresolution System”, Special Issue on Learning, IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-16, pp. 894-901, Sept. 1994. (Correspondence).
    2. L. Blue, G. Candela, P.J. Grother, R. Chellappa and C.L. Wilson, “Evaluation of Pattern Classifiers for Fingerprint and OCR Applications”, Patter Recognition Vol. 27, pp. 486-501, 1994. (Invited Paper).

    1993

    1. J. Kwon and R. Chellappa, “Segmentation Based Image Compression”. Special Issue on Image Compression, Optical Engineering, Vol. 32, pp. 1581-1587, July 1993. (Invited paper)
    2. C. Lee, B. J. Sheu and R. Chellappa, “A Mixed-Signal VLSI Competitive Neuro Processor for Video Motion Detection”, Special Issue on VLSI Neural Networks, Jl. of VLSI Signal Processing, Vol. 6, pp. 57-66, June 1993.
    3. Zheng and R. Chellappa, “A Computational Vision Approach to Image Registration.” IEEE Trans. Image Processing, Vol. 2, Issue 3, pp. 311-326, 1993.
    4. C. Lee, B. J. Sheu and R. Chellappa, “A VLSI Neuroprocessor for Image Restoration Using Analog Computing-Based Systolic Architecture”, Special Issue on Video/Image Signal Processing, Jl. of VLSI Signal Processing, Vol. 5, pp. 185-200, April 1993.
    5. Rignot and R. Chellappa, “Maximum A Posteriori Classification of Multi-frequency, Multi-look Synthetic Aperture Radar Intensity Data.” Journal of Optical Society of America, A Vol. 10, pp. 573-582, April 1993.
    6. Zerubia and R. Chellappa, “Mean Field Annealing Using Compound Gauss-Markov Random Fields for Edge Detection and Image Estimation.” IEEE Trans. Neural Networks, Vol. TNN-4, Jan. 1993.
    7. C. Lee, B.J. Sheu, W.C. Fang and R. Chellappa, “VLSI Neuroprocessors for Video Motion Detection,” IEEE Trans. Neural Networks, TNN-4, pp. 178-191, March 1993.
    8. S. Manjunath and R. Chellappa, “A Unified Approach to Boundary Perception: Edges, Textures and Illusory Contours,” IEEE Trans. Neural Networks, Vol. NN-4, pp. 96-108, Jan. 1993.

    1992

    1. Venkateswar and R. Chellappa, “Extraction of Straight Lines in Aerial Images,” IEEE Trans. Patt. Anal. and Mach. Intell., vol. PAMI-14, pp. 1111-1114, Nov. 1992 (Correspondence).
    2. S. Young and R. Chellappa, “Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. PAMI-14, pp. 995-1013, Oct. 1992.
    3. C. Lee, B.J. Sheu, J. Choi and R. Chellappa, “A Mixed-Signal VLSI Neuroprocessor for Image Restoration”, IEEE Trans. Circuits and System for Video Technology, Vol. 2, pp. 319-324, Sept. 1992.
    4. Rignot, R. Chellappa and P. Dubois, “Unsupervised Segmentation of Polarimetric SAR Data Using the Covariance Matrix,” IEEE Trans. Geoscience and Remote Sensing, Vol. GRS-30, pp. 697-705, July 1992.
    5. Rignot and R. Chellappa, “Segmentation of Polarimetric Synthetic Aperture Data,” IEEE Trans. Image Processing, Vol. 1, Issue 3, pp. 281-300, July 1992.
    6. Chandrashekhar and R. Chellappa, “Passive Navigation in a Partially Known Environment,” Intl. Jl. of Robotic Systems, Vol. 9, pp. 729-752, June 1992 (Invited Paper).

    1991

    1. Rignot and R. Chellappa, “Segmentation of Synthetic Aperture Radar Complex Data,” Journal of Optical Society of America, A., Vol. 8, pp. 1499-1509, Sept. 1991.
    2. Zheng and R. Chellappa, “Estimation of Illuminant Direction, Albedo and Shape from Shading,” IEEE Trans. Patt. Anal. and Mach. Intell., vol. PAMI-13, pp. 680-702, July 1991.
    3. J. Broida and R. Chellappa, “Estimating the Kinematics and Structure of a Moving Rigid Object from a Sequence of Noisy Images” IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-13, pp. 497-513, June 1991.
    4. S. Manjunath and R. Chellappa, “A Note on Unsupervised Texture Segmentation” IEEE Trans. Patt. Anal. Mach. Intell., Vol. PAMI-13, pp. 478-483, May 1991. (Correspondence).
    5. M. Shao, R. Chellappa and T. Simchony, “Reconstructing a Depth Map from One or More Images,” Computer Vision, Graphics and Image Processing: Image Understanding, Vol. 53, pp. 219-226, March 1991 (Research Note).

  • 1981-1990

    1990

    1. S. Young and R. Chellappa, “3-D Motion Estimation Using a Sequence of Noisy Stereo Images: Models, Motion Estimation and Uniqueness Results”, IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-12, pp. 735-759, August 1990.
    2. J. Broida, S. Chandrashekhar and R. Chellappa, “Recursive Techniques for Estimation of 3-D Translation and Rotation Parameters from Noisy Image Sequences”, IEEE Trans. Aerospace and Electronic Systems, Vol. AES-26, pp. 639-656, July 1990.
    3. S. Manjunath, T. Simchony and R. Chellappa, “Stochastic and Deterministic Networks for Texture Segmentation”, IEEE Trans. Acoust., Speech, and Signal Processing, Vol. ASSP-38, pp. 1039-1049, June 1990.
    4. T. Frankot and R. Chellappa, “Estimation of Surface Height in Synthetic Aperture Radar Images Using Shape from Shading Techniques”, Artificial Intelligence Journal, Vol. 43, pp.271-310, June 1990.
    5. Simchony, R. Chellappa, and S. Min, “Direct Analytical Methods for Solving Poisson Equations in Computer Vision Problems”, IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-12, pp. 435-446, May 1990.
    6. Simchony, R. Chellappa and Z. Lichtenstein, “Relaxation Algorithms for the Restoration Gray Level Images Corrupted by Multiplicative Noise”, IEEE Trans. on Information Theory, Vol. IT-36, pp.608-613, May 1990.
    7. R. Hansen, Jr. and R. Chellappa, “Noncausal Spectrum Estimation for Direction Finding”, IEEE Trans. Information Theory, Vol. IT-36, pp. 108-125, Jan. 1990.
    8. Rangarajan, R. Chellappa and Y.T. Zhou, “A Unified Approach for Filtering and Edge Detection in Noisy Images”, IEEE Trans. Circuits and Systems, Vol. CAS-37, pp. 140-144, Jan. 1990. (Correspondence)

    1989

    1. Simchony, R. Chellappa, and Z. Lichtenstein, “Pyramid Implementation of Optimal Step Conjugate Gradient Algorithms for Some Computer Vision Problems”, IEEE Trans. on Systems, Man and Cybernetics, Vol. SMC-19, pp. 1408-1425, November 1989.
    2. J. Broida and R. Chellappa, “Uniqueness and Performance Measure Results for 3-D Motion Estimation from a Monocular Sequence of Noisy Images”, Journal of Optical Society of America, Vol. 6, pp. 879-889, June 1989.
    3. Zhou, V. Venkateswar, and R. Chellappa, “Edge Detection and Linear Feature Extraction Using the Directional Derivatives of a 2-D Random Field Model”, IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-11, pp.84-95, Jan. 1989. (Correspondence)

    1988

    1. T. Zhou, R. Chellappa, and B.K. Jenkins, “Image Restoration Using a Neural Network”, IEEE Trans., Speech and Signal Proc., vol. ASSP-36, pp. 1141-1151, July 1988.
    2. T. Frankot and R. Chellappa, “A Method for Enforcing Integrability in Shape from Shading Problem”, IEEE Trans. on Patt. Anal. and Mach. Intell., Vol. PAMI-10, pp.439-451, July 1988.
    3. Hansen and R. Chellappa, “Two-dimensional Robust Markov Spectral Estimation”, IEEE Trans. on Acoust, Speech, and Signal Processing, Vol. ASSP-36, pp. 1051-1066, July 1988.

    1987

    1. C. Lin and R. Chellappa, “Classification of 2-D Partial Shapes Using Fourier Descriptors”, IEEE Trans. Patt. Anal. and Mach. Intell, vol. PAMI-9, pp. 686-690, September 1987. (Correspondence)
    2. T. Frankot and R. Chellappa, “Lognormal Random Field Models and Their Applications to Radar Image Synthesis”, IEEE Trans. on Geoscience and Remote Sensing, Vol. GE-24, pp. 195-207, March 1987.

    1986

    1. J. Broida and R. Chellappa, “Estimation of Object Motion Parameters from a Sequence of Noisy Images”, IEEE Trans. Patt. Anal. and Mach. Intell., Vol. PAMI-8, pp. 90-99, Jan. 1986.
    2. Sharma and R. Chellappa, “Two-Dimensional Spectral Estimation Using Noncausal Autoregressive Models”, IEEE Trans. Inform. Theory, Vol. IT-32, pp. 268-275, March 1986.

    1985

    1. Chellappa and S. Chatterjee, “Classification of Textures Using Gaussian Markov Random Field Models”, IEEE Trans. on Acoust, Speech and Signal Proc., Vol. ASSP-33, pp. 959-963, Aug. 1985.
    2. Sharma and R. Chellappa, “A Model Based Approach for the Estimation of 2-D Maximum Entropy Power Spectra”, IEEE Trans. on Inform. Theory, Vol. IT-31, pp. 90-99, Jan. 1985.
    3. Chellappa, S. Chatterjee, and R. Bagdazian, “Texture Synthesis and Coding Using Gaussian Markov Random Field Models”, IEEE Trans. on Syst., Man, and Cybern, Vol. SMC-15, pp. 298-303, March 1985. (Correspondence).
    4. Chellappa, and R.L. Kashyap, “Texture Synthesis Using Spatial Interaction Models,” IEEE Trans. on Acoust. Speech and Signal Proc., Vol. ASSP-33, pp. 194-203, Feb. 1985.

    1984

    1. Chellappa, and R. Bagdazian, “Optimal Fourier Coding of Image Boundaries”, IEEE Trans. on Patt. Anal. and Mach. Intell., Vol. PAMI-6, pp. 102-105, Jan 1984. (Correspondence)

    1983

    1. Chellappa, Y.H.Hu and S.Y.Kung., “On Two-Dimensional Markov Spectral Estimation”, IEEE Trans. on Acoust., Speech and Signal Proc., Vol. ASSP-31, pp.836-841, August 1983.
    2. L. Kashyap and R. Chellappa, “Estimation and Choice of Neighbors in Spatial Interaction Models of Images”, IEEE Trans. on Information Theory, Vol.IT-29, pp. 60-72, Jan. 1983.

    1982

    1. L.Kashyap, R. Chellappa, and A.Khotanzad, “Texture Classification Using Features Derived from Random Field Models”, Pattern Recognition Letters, Vol. 1, pp.43-50, Oct. 1982. (Invited)
    2. Chellappa, and R.L. Kashyap, “Digital Image Restoration Using Spatial Interaction Models”, IEEE Trans. on Acoustics, Speech and Signal Processing, Vol. ASSP-30, pp.461-472, June 1982.

    1981

    1. L. Kashyap, R. Chellappa, and N. Ahuja, “Decision Rules for the Choice of Neighbors in Random Field Models of Images”, Computer Graphics and Image Processing, pp. 301-318, April 1981.
    2. R.L. Kashyap and R. Chellappa, “ Stochastic models for closed boundary analysis: Representation and reconstruction”, IEEE Transactions on Information Theory,  Vol. 27, pp. 627 – 637, Sept. 1981.

  • 2011-2020

    2020

    1. A. Bansal, S.S. Rambhatla, A. Shrivastava, and R. Chellappa, “Detecting Human-Object Interactions via Functional Generalization”, Proc. of the 34th AAAI Conference, New York, New York, Feb. 2020. 
    2. G. Dias Pais, S. Ramalingam, V.M. Govindu, J. C. Nascimento, R.Chellappa, and P. Miraldo, “3DRegNet: A Deep Neural Network for 3D Point Registration”, Proc. IEEE Computer Society/CVF Conf. on Computer Vision and Pattern Recognition, Seattle, June 2020
    3. P. Cheng, W.A.  Lin, R. Chellappa and S.K. Zhou, “SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis”, Proc. IEEE Computer Society/CVF Conf. on Computer Vision and Pattern Recognition, Seattle, June 2020.
    4. C. Peng, W.A. Lin, R. Chellappa and S.K. Zhou, “Towards multi-sequence MR image recovery from under-sampled k-space data”, Medical Imaging with Deep Learning, Montreal, Canada, July 2020. (Long paper)
    5. P. Dhar, A. Bansal, C.D. Castillo, J. Gleason, P.J. Phillips, and R. Chellappa, “How are attributes expressed in face DCNNs?”, Proc. Face and Gestures Conference, Buenos Aires, Nov. 2020.
    6. C.P Lau, H. Souri and R. Chellappa, “ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence”, Proc. Face and Gestures Conference, Buenos Aires, Nov. 2020.
    7. P. Khorramshahi, N. Peri, J.C. Chen, and R. Chellappa, “The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification”, Proc. European Conf. on Computer Vision, Edinburgh, August 2020.
    8. A. Bansal, Y. Zhang and R. Chellappa, “Vision Question Answering on Imagesets”, Proc. European Conf. on Computer Vision, Edinburgh, August 2020.
    9. H. Ding and R. Chellappa, “Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition”, Proc. Intl. Jt. Conf. on Biometrics, Houston, TX, Oct. 2020.
    10. W.A. Lin, C.P. Lau, A. Levine, R. Chellappa and S. Feizi, “Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks”, NeurIPS 2020.
    11. Y. Balaji, R. Chellappa and S. Feizi, “Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation”, NeurIPS 2020.

    2019

    1. Gleason*, R. Ranjan*, S. Schwarcz*, C. D. Castillo, J.C. Chen, and R. Chellappa, “A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos”, Winter Conference on Applications of Computer Vision, Hawaii, Jan. 2019.
    2. Dhar, C.D. Castillo and R. Chellappa, “On Measuring the Iconicity of a Face”, Winter Conference on Applications of Computer Vision, Hawaii, Jan. 2019.
    3. Lu, J.C. Chen and R. Chellappa, “Unsupervised Domain-specific Deblurring via Disentangled Representations”, Proc. IEEE Computer Society/CVF Conf. on Computer Vision and Patt. Recn., Long Beach, CA, June 2018.
    4. Dhar, R. Vikram Singh, K.C.Peng, Z. Wu, and R.Chellappa, “Learning without Memorizing”, Proc. IEEE Computer Society/CVF Conf. on Computer Vision and Patt. Recn., Long Beach, CA, June 2018.
    5. A. Lin, H. Liao, C. Peng, X. Sun, .n Zhang, J. Luo, R. Chellappa and S. K. Zhou, “DuDoNet: Dual Domain Network for CT Metal Artifact Reduction:, Proc. IEEE Computer Society/CVF Conf. on Computer Vision and Patt. Recn., Long Beach, CA, June 2018.
    6. Ghosh, M. Ehrlich, R. Chellappa and L.S. Davis, “’Unsupervised Super-resolution of Satellite imagery for High-fidelity Material Label Transfer”, Proc. Intl. Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
    7. Balaji, H. Hassai, R. Chellappa and S. Feizi, “A Statistical Approach to Regularized Wasserstein GANs”, Proc. Intl. Conf. on Machine Learning, Long Beach, CA, June 2019.
    8. Y. Balaji, et al, “Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis”, Intl. Jt. Conf. on Artificial Intelligence”, Macao, China, August 2019.9.
    9. N. Bodla, Z. Xu, M. Najibi, L.S. Davis and R. Chellappa, “Soft Sampling for Robust Object Detection”, British Machine Vision Conference, 2019.10.
    10. J. Zheng, J.C. Chen, V.M. Patel, C. Castillo and R. Chellappa, “Hybrid Dictionary Learning and Matching for Video-based Face Verification”, Biometrics: Theory, Algorithms and Systems, Tampa, FL, Sept. 2019.
    11. Balaji, R. Chellappa and S. Feizi, “Normalized Wasserstein for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation”, Proc. Intl. Conf. on Computer Vision, Seoul, South Korea, Oct. 2019.
    12. Zheng, R. Yu, J.C. Chen, B. Lu, Ca. Castillo and R. Chellappa, “Uncertainty Modeling of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition”, Proc. Intl. Conf. on Computer Vision, Seoul, South Korea, Oct. 2019.
    13. Khorramshahi1, A. Kumar1, N. Peri1, S. S. Rambhatla1, J.C. Chen and R. Chellappa, “A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification”, Proc. Intl. Conf. on Computer Vision, Seoul, South Korea, Oct. 2019.

    2018

    1. Kabkab, P. Samangouei and R.Chellappa, “Task-aware Compressed Sensing with Generative Adversarial Networks”, Prof. of the 32nd AAAI Conference, New Orleans, Feb. 2018.
    2. Ding,1 H Zhou, S. K. Zhou, and R. Chellappa, “A Deep Cascade Network for Unaligned Face Attribute Classification”, Prof. of the 32nd AAAI Conference, New Orleans, Feb. 2018.
    3. Hand, C. Castillo and R. Chellappa, “Doing the Best We Can With What We Have: Multi-label Balancing with Selective Learning for Attribute Prediction”, Prof. of the 32nd AAAI Conference, New Orleans, Feb. 2018.
    4. Ding, K. Sricharan and R. Chellappa, “ExprGAN: Facial Expression Editing with Controllable Expression Intensity”, Prof. of the 32nd AAAI Conference, New Orleans, Feb. 2018.
    5. Sankaranarayanan, A. Jain, S. N. Lim, and R. Chellappa, “Regularizing Deep Networks using Efficient Layerwise Adversarial Training”, Proc. of the 32nd AAAI Conference, New Orleans, Feb. 2018.
    6. Samangouei, M. Najibi, R. Chellappa and L.S. Davis, “Face-MagNet: Magnifying Feature Maps to Detect Small Faces”, Proc. Workshop on Applications of Computer Vision, Lake Tahoe, CA, March 2018.
    7. Hand, C. Castillo and R. Chellappa, “Predicting Facial Attributes in Video Using Temporal Coherence and Motion-attention”, Proc. Workshop on Applications of Computer Vision, Lake Tahoe, CA, March 2018.
    8. Samangouei, M. Kabkab and R. Chellappa, “Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models”, ICLR, Vancouver, Canada, April 2018.
    9. Sankaranarayanan, Y. Balaji and R. Chellappa, “Adapting across Domains Using Generative Adversarial Networks”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn. (Spotlight paper), Salt Lake City, UT, June 2018.
    10. Sankaranarayanan, Y. Balaji and R. Chellappa, “Learning from Synthetic Data: Semantic Segmentation across Domain Shift”, (Spotlight Paper), Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., (Spotlight paper), Salt Lake City, UT, June 2018.
    11. Kumar and R. Chellappa, “Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Salt Lake City, UT, June 2018.
    12. A. Lin, J.C. Chen and R. Chellappa, “Deep Density Clustering of Unconstrained Poses”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Salt Lake City, UT, June 2018.
    13. Bodla, G. Hua and R. Chellappa, “Semi-supervised Fused GAN for Conditional Image Generation”, Proc. European Conf. on Computer Vision and Pattern Recognition, Munich, Germany, Sept. 2018.
    14. Bansal, K. Sikka, G. Sharma, R. Chellappa and A. Divakaran, “Zero-shot Object Detection”, Proc. European Conf. on Computer Vision, Munich, Germany, Sept. 2018.
    15. Xu, X. Lv, X. Wang, Z. Ren, N. Bodla and R. Chellappa, “Deep Regionlets for Object Detection”, Proc. European Conf. on Computer Vision and Pattern Recognition, Munich, Germany, Sept. 2018.
    16. Balaji, S. Sankaranarayanan and R. Chellappa, “MetaReg: Towards Domain Generalization Using Meta-regularization”, Proc. Neural and Information Processing Systems, Montreal, Dec. 2018.

    2017

    1. Lan, P.C. Yuen and R. Chellappa, “Robust MIL-based Feature Template Learning for Object Tracking”, Prof. of the 31st AAAI Conference on AI, San Francisco, Feb. 2017.
    2. Hand and R. Chellappa, “Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification”, Prof. of the 31st AAAI Conference on AI, San Francisco, Feb. 2017.
    3. E. Fathy and R. Chellappa, “Image-set Classification Using Sparse Bayesian Regression”, Workshop on Applications of Computer Vision, Santa Rosa, CA, March 2017.
    4. Lu, J. Zheng, J.C. Chen, and R. Chellappa, “Pose-robust Face Verification by Exploiting Competing Tasks”, Workshop on Applications of Computer Vision, Santa Rosa, CA, March 2017.
    5. Bodla, J. Zheng, H. Xu, J.C. Chen, C. C.astillo and Rama Chellappa, “Deep Heterogeneous Feature Fusion for  Template-based Face Recognition”, Workshop on Applications of Computer Vision, Santa Rosa, CA, March 2017.
    6. Kumar, A. Alavi and R. Chellappa, “KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    7. H. Chen, J.C. Chen, C. Castillo and R. Chellappa, “Video-Based Face Association and Identification”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    8. A. Lin, J.C. Chen and R. Chellappa, “Know Your Neighborhood: Proximity-aware Hierarchical Clustering of Faces”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    9. Mahbub, S. Sarkar and R. Chellappa, “Pooling Facial Segments to face: The shallow and deep ends”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    10. Ranjan, S. Sankaranarayanan, C. Castillo and R. Chellappa, “An all in one convolutional neural network for face analysis”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    11. Ding, S. K. Zhou and R. Chellappa, “FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition”, Proc. IEEE Conf. on Face and Gestures, Washington D.C., June 2017.
    12. Zhang, V.M. Patel and R. Chellappa, “Hierarchical multimodal metric learning for multimodal classification”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Honolulu, HI, July 2017.
    13. Bansal, A. Nanduri C. Castillo, R Ranjan and R. Chellappa, “UMDFaces: An Annotated Face Dataset for Training Deep Networks”, Prof. IEEE Intl. Jt. Conf. on Biometrics, Denver, CO, Oct. 2017.
    14. Najibi, P. Samangouei, R.Chellappa and L.S. Davis, “SSH: Single Stage Headless Face Detector”, Proc. Intl. Conf. on Computer Vision, Venice, Italy, Oct. 2017.
    15. Bodla, B. Singh, R. Chellappa and L.S. Davis, “Soft-NMS – Improving Object Detection With One Line of Code”, Proc. Intl. Conf. on Computer Vision, Venice, Italy, Oct. 2017.

    2016

    1. Xu, J. Zheng, A. Alavi and R. Chellappa, “Learning a Structured Dictionary for Video-based Face Recognition”, Workshop on Applications of Computer Vision, Lake Placid, NY, March 2016.
    2. C. Chen, V. M. Patel, and R. Chellappa, “ Unconstrained Face Verification using Deep CNN Features”, Workshop on Applications of Computer Vision, Lake Placid, NY, March 2016.
    3. Vemulapalli and R. Chellappa, “Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data”, IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Las Vegas, NV, June 2016.
    4. Vemulapalli, O. Tuzel, M. Y. Liu, and R. Chellappa, “Gaussian Conditional Random Field Network for Semantic Segmentation”, IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Las Vegas, NV, June 2016.
    5. Sankaranarayanan, C. Castillo, and R. Chellappa, “Triplet Probabilistic Embedding for Face Verification and Clustering”, Proc. Biometrics: Theory, Applications and Systems, Niagara Falls, Sept. 2016.
    6. C. Chen, A. Kumar, R. Ranjan, V. Patel, A. Alavi, and R. Chellappa,, “A Cascaded Convolutional Neural Network for Age Estimation of Unconstrained Faces”, Proc. Biometrics: Theory, Applications and Systems, Niagara Falls, Sept. 2016.
    7. Samangouei and R. Chellappa, “Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices”, Proc. Biometrics: Theory, Applications and Systems, Niagara Falls, Sept. 2016.
    8. Mahbub, S. Sarkar, V. Patel, and R. Chellappa , “Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results”, Proc. Biometrics: Theory, Applications and Systems, Niagara Falls, Sept. 2016.
    9. C. Chen, J. Zheng,, V.M. Patel, and R. Chellappa, “Fisher Vector Encoded Deep Convolutional Features for Unconstrained Face verification”, Proc. Intl. Conf. on Image Processing, Phoenix, AZ, Sept. 2016.
    10. Mahbub, V.M. Patel, D. Chandra, B. Barbello, R. Chellappa, “Partial Face Detection for Continuous Authentication”, Proc. Intl. Conf. on Image Processing, Phoenix, AZ, Sept. 2016.
    11. Lu, J,C. Chen and R. Chellappa, “Regularized Metric Adaptation for Unconstrained Face Verification”, Prof. Intl. Conf. on Pattern Recognition, Cancun, Mexico, Dec. 2016.
    12. Xu, J. Zheng, A. Alavi, and Rama Chellappa, “Template Regularized Sparse Coding for Face Verification”, Prof. Intl. Conf. on Pattern Recognition, Cancun, Mexico, Dec. 2016.
    13. Kabkab, E. Hand and R. Chellappa, “On the Size of Convolutional Neural Networks and Generalization Performance”, Prof. Intl. Conf. on Pattern Recognition, Cancun, Mexico, Dec. 2016.
    14. Zheng, J.C. Chen, N. Bodla, V. M. Patel, and R. Chellappa, “VLAD Encoded Deep Convolutional Features for Unconstrained Face Verification”, Prof. Intl. Conf. on Pattern Recognition, Cancun, Mexico, Dec. 2016.
    15. Ghosh and R. Chellappa, Deep Feature Extraction in the DCT Domain”, Prof. Intl. Conf. on Pattern Recognition, Cancun, Mexico, Dec. 2016.

    2015

    1. M.E. Fathy, V.M. Patel and R. Chellappa, “ Face-based Active Authentication on Mobile Devices”, Prof. Intl. Conf. on Acoust., Speech and Signal Processing, Brisbane, Australia, pp. 1687-1691, April 2015.
    2. H. Zhang V.M. Patel and R. Chellappa, “Robust Multimodal Recognition via Multitask Multivariate Low-Rank Representations”, Proc. 11th IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia, May 2015.
    3. H. Zhang, S. Shekhar, V.M. Patel and R. Chellappa, “Domain Adaptive Sparse Representation-Based Classification”, Proc. 11th IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia, May 2015.
    4. A. Shrivastava, M. Rastegari, S. Shekhar, R. Chellappa, and L. S. Davis, “Class Consistent Multi-Modal Fusion with Binary Features”, Proc. IEEE Conf. on Computer Vision and Patt. Recn., Boston, MA, June 2015.
    5. C. H. Chen, V. M. Patel and R. Chellappa, “Matrix Completion for Resolving Label Ambiguity”, Proc. IEEE Conf. on Computer Vision and Patt. Recn. Boston, MA, June 2015.
    6. Boyu Lu, Rama Chellappa and Nasser M. Nasrabadi, “Incremental Dictionary Learning for Unsupervised Domain Adaptation” British Machine Vision Conference, Brighton, UK, Sept. 2015.
    7. Hongyu Xu, Jingjing Zheng and Rama Chellappa, “Bridging the Domain Shift by Domain Adaptive Dictionary Learning”, British Machine Vision Conference, Brighton, UK, Sept. 2015 (Oral paper)
    8. Ching-Hui Chen and Rama Chellappa, “Character Identification in TV-series via Non-local Cost Aggregation”, British Machine Vision Conference, Brighton, UK, Sept. 2015.
    9. Rajeev Ranjan, Vishal M. Patel, Rama Chellappa, “A Deep Pyramid Deformable Part Model for Face Detection”, Proc. Biometrics: Theory, Applications and Systems, Washington D.C., Sept. 2015.
    10. Jun-Cheng Chen, Swami Sankaranarayanan, Vishal M. Patel and Rama Chellappa, “Unconstrained Face Verification Using Fisher Vectors Computed From Frontalized Faces”, Proc. Biometrics: Theory, Applications and Systems, Washington D.C., Sept. 2015.
    11. Pouya Samangouei, Vishal M. Patel, and Rama Chellappa, “Attribute-based Continuous User Authentication on Mobile Devices”, Proc. Biometrics: Theory, Applications and Systems, Washington D.C., Sept. 2015.
    12. Jun-Cheng Chen, Vishal M. Patel and Rama Chellappa, “Landmark-based Fisher Vector Representation for Video-based Face Verification”, Proc. Intl. Conf. on Image Processing, Quebec City, Canada, Sept. 2015.
    13. Heng Zhang, Vishal M. Patel and Rama Chellappa, “Multitask Multivariate Common Sparse Representation for Robust Multimodal Biometrics Recognition”, Proc. Intl. Conf. on Image Processing, Quebec City, Canada, Sept. 2015.
    14. Swami Sankaranarayanan, Vishal M. Patel, Rama Chellappa, “3D Facial Model Synthesis Using Coupled Dictionaries”, Proc. Intl. Conf. on Image Processing, Quebec City, Canada, Sept. 2015.
    15. Garrett Warnell, Vishal M. Patel, and Rama Chellappa, “Integrability-Regularized Phase Unwarpping Via Sparse Error Correction”, Proc. Intl. Conf. on Image Processing, Quebec City, Canada, Sept. 2015.
    16. Xavier Gibert, Vishal M. Patel and Rama Chellappa, “Material Classification and Semantic Segmentation of Railway Track Images with Deep Convolutional Neural Networks”, Proc. Intl. Conf. on Image Processing, Quebec City, Canada, Sept. 2015.

    2014

    1. C. Chen, V.M. Patel, P. J. Phillips and R. Chellappa, “Adaptive Representations for Video-based Face Recognition Across Pose”, Proc. Winter Conference on Applications of Vision”, CO, March 2014.
    2. Vemulapalli, F. Arrate and R. Chellappa, “Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Columbus, OH, June 2014 (Oral paper).
    3. Du and R. Chellappa, “Video-Based Face Recognition Using the Intra/Extra-Personal Difference Dictionary”, Proc. British Machine Vision Conference, UK, Sept. 2014.
    4. Hara and R. Chellappa, “Generalized Regression Forests for Continuous Pose and Direction Estimation”, Proc. European Conf. on Computer Vision, Zurich, Switzerland, Sept. 2014.
    5. Shekhar, V.M. Patel and R. Chellappa, “Analysis Sparse Coding Models for Image-based Classification”, Proc. Intl. Conf. on Image Proc., Paris, France, Oct. 2014.
    6. C. Chen, V.M. Patel, H.T. Ho and R. Chellappa, “Dictionary-based Video Face Recognition Using Dense Multi-scale Facial Landmark Features”, Proc. Intl. Conf. on Image Proc., Paris, France, Oct. 2014.
    7. Srivastava, J. Pillai, V.M. Patel and R. Chellappa, “Dictionary-based Multiple Instance Learning”, Proc. Intl. Conf. on Image Proc., Paris, France, Oct. 2014.
    8. Reale, N. Nasrabadi and R. Chellappa, “Coupled Dictionaries for Thermal to Visible Face Recognition”, Proc. Intl. Conf. on Image Proc., Paris, France, Oct. 2014.

    2013

    1. C. Chen, V. M. Patel, S. Shekhar, R. Chellappa and P. J. Phillips, “Video-based Face Recognition via Joint Sparse Representation”, Proc. IEEE Computer Society Conf. on Face and Gestures, Shanghai, China, April 2013.
    2. Batool, S. Taheri and R. Chellappa, “Assessment of Facial Wrinkles as a Soft Biometrics”, Proc. IEEE Computer Society Conf. on Face and Gestures, Shanghai, China, April 2013. (Oral paper)
    3. Vemulapalli, J.K. Pillai and R. Chellappa, “Kernel Learning for Extrinsic Classification of Manifold Features”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Portland, OR, June 2013.
    4. Ni, Q. Qiu and R. Chellappa, “Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Portland, OR, June 2013.
    5. Shekhar V. M. Patel, H.V. Nguyen and R. Chellappa, “Generalized Domain-Adaptive Dictionaries”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Portland, OR, June 2013.
    6. Hara and R. Chellappa, “Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Portland, OR, June 2013.
    7. C. Chen, V. M. Patel, J. K. Pillai, R. Chellappa, and P. J. Phillips, “Dictionary Learning from Ambiguously Labeled Data”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Portland, OR, June 2013.

    2012

    1. Hien V. Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Kernel Dictionary Learning”, IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 2012.
    2. Warnell, D. Reddy, and R. Chellappa. “Adaptive Rate Compressive Sensing for Background Subtraction.” IEEE International Conference on Acoustics, Speech, and Signal Processing. Kyoto, Japan. March 2012.
    3. Yi-Chen Chen, Challa S. Sastry, Vishal M. Patel, P. Jonathon Phillips and Rama Chellappa, “Rotation Invariant Simultaneous Clustering and Dictionary Learning”, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 1053-1056, Kyoto, Japan, March 2012.
    4. Shroff, A. Veeraraghavan, Y. Taguchi, O. Tuzel, A. Agrawal, and R. Chellappa, “Variable Focus Video: Reconstructing Depth and Video for Dynamic Scenes”, at IEEE International Conference on Computational Photography, Seattle, WA, April 2012.
    5. T. Ho and R. Chellappa, “Automatic Head Pose Estimation using Randomly Projected Dense SIFT Descriptors”, IEEE International Conference on Image Processing, Orlando, September 2012.
    6. Shrivastava, J. K. Pillai, V. M. Patel, R. Chellappa, “Learning discriminative dictionaries with partially labeled data,” IEEE International Conference on Image Processing, Orlando, FL, 2012.
    7. Yi-Chen Chen, Vishal M. Patel, Rama Chellappa and P. Jonathon Phillips, “Salient View Selection Based on Sparse Representation”, IEEE International Conference on Image Processing, Orlando, FL, Oct. 2012.
    8. Hien V. Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction”, European Conference on Computer Vision, Florence, Italy, October 2012.
    9. Qiang Qiu, Vishal Patel, Pavan Turaga and Rama Chellappa, “Domain Adaptive Dictionary Learning”, Proc. European Conference on Computer Vision, Florence, Italy, Oct. 2012.
    10. Ming Du and Rama Chellappa: Face Association across Unconstrained Video Frames Using Conditional Random Fields, Proceedings of European Conference on Computer Vision, Florence, Italy, pp.167-180, Oct. 2012.
    11. Yi-Chen Chen, Vishal M. Patel, P. Jonathon Phillips and Rama Chellappa, “Dictionary-based Face Recognition from Video”, European Conference on Computer Vision, pp. 766-779, Florence, Italy, Oct. 2012.
    12. Tao Wu and Rama Chellappa, Age Invariant Face Verification with Relative Craniofacial Growth Model, European Conf. on Computer Vision, Florence, Italy, pp. 58-71, Oct. 2012.

    2011

    1. Ming-Yu Liu and Oncel Tuzel and Srikumar Ramalingam and Rama Chellappa, “Entropy rate superpixel segmentation.”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Colorado Springs, CO, pp. 2097-2104, June 2011.
    2. Dikpal Reddy, Ashok Veeraraghavan and Rama Chellappa, “P2C2: Programmable pixel compressive camera for high speed imagin.”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Colorado Springs, CO. pp. 329-336, June 2011.
    3. Sima Taheri and Pavan K. Turaga and Rama Chellappa, “Towards view-invariant expression analysis using analytic shape manifolds.”, Proc. IEEE Computer Society Conf. on Face and Gestures, Santa Barbara, CA, pp. 306-313, March 2011.
    4. Rama Chellappa and Pavan K. Turaga, “Recent advances in age and height estimation from still images and video.”, IEEE Computer Society Conf. on Face and Gestures, Santa Barbara, CA, pp. 91-96, March 2011.
    5. M. Patel and R. Chellappa, “Sparse representations, compressive sensing and dictionaries for pattern recognition,” Asian Conference on Pattern Recognition (ACPR), Beijing, China,
    6. Shekhar, V. M. Patel, and R. Chellappa, “Synthesis-based recognition of low resolution faces,” International Joint Conference on Biometrics, Washington DC, Oct. 2011.
    7. M. Patel, G. R. Easley, and R. Chellappa, “Multilayered Image representation-based compressive SAR imaging,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane , WA, 2011. (Invited)
    8. M. Patel, T. Wu, S. Biswas, P. J. Phillips, and R. Chellappa, “Illumination Robust Dictionary-based Face Recognition,” IEEE International Conference on Image Processing, Brussels, Belgium, 2011.
    9. M. Patel, G. R. Easley, and R. Chellappa, “Component-based Restoration of Speckled Images,” IEEE International Conference on Image Processing, Brussels, Belgium, 2011.
    10. Qiang Qiu, Zhuolin Jiang, Rama Chellappa. “Sparse Dictionary-based Representation and Recognition of Action Attributes”. IEEE Conference on Computer Vision, Barcelona, Spain, Nov. 2011.
    11. Shroff, P. Turaga, and R. Chellappa. “Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds”, at Neural Information Processing Systems, December 2011.
    12. Gopalan, R. Li, and R. Chellappa, “Domain Adaptation for Object Recognition: An Unsupervised Approach”, (Oral paper), IEEE International Conference on Computer Vision, Barcelona, Spain, Nov. 2011.
    13. M. Patel and R. Chellappa, “Sparse representations, compressive sensing and dictionaries for pattern recognition,” Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011.
    14. M. Patel, G. R. Easley, and R. Chellappa, “Multilayered Image representation-based compressive SAR imaging,” IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, Spokane , WA, 2011. (Invited).

  • 2001-2010

    2010

    1. K. Pillai, V. M. Patel, R. Chellappa, and N. K. Ratha, “Sectored random projections for cancelable iris biometrics,” IEEE Conference on Acoustic, Speech, and Signal Processing, Dallas, TX, March 2010.
    2. Turaga, S. Biswas and R. Chellappa, “The role of geometry in age estimation”, IEEE Conference on Acoustics, Speech and Signal Processing, Dallas, TX, pp. 946-949, March 2010.
    3. Mitra, A. Veeraraghavan and R. Chellappa, “Robust regression using sparse learning for high dimensional parameter estimation problems”, IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, Dallas, TX, .pp. 3846-3849, March 2010.
    4. Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa, Amit Agrawal, and Haruhisa Okuda, “ Pose Estimation in Heavy Clutter using a Multi-Flash Camera”, IEEE International Conference on Robotics and Automation, Anchorage, May 2010.
    5. Shroff, P. Turaga, and R. Chellappa. “Moving Vistas: Exploiting Motion for Describing Scenes”, at IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 2010.
    6. Li and R. Chellappa, “Group Motion Segmentation Using a Spatio-Temporal Driving Force Model”, IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 2010.
    7. Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, and Rama Chellappa, “ Fast Directional Chamfer Matching”, IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 2010.
    8. Mitra, A. Veeraraghavan and R. Chellappa, “Robust RVM regression using sparse outlier model”, IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 1887-1894, June 2010.
    9. Biswas and R. Chellappa, “Pose-robust albedo estimation from a single image”, IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 2683-2690, June 2010.
    10. Li and R. Chellappa, Aligning Space-Time Signals on a Special Manifold, European Conference on Computer Vision, Crete, Greece, Sept. 2010.
    11. C. Sankaranarayanan, P. Turaga, R. Baraniuk, and R. Chellappa, “Compressive Acquisition of Dynamic Textures”, European Conference on Computer Vision, Crete, Greece, Sept. 2010.
    12. Gopalan, P.Turaga and R. Chellappa. “Articulation-Invariant Representation of non-planar Shapes”, European Conference on Computer Vision, Crete, Greece, Sept. 2010.
    13. Li and R. Chellappa, Recognizing Offensive Strategies from Football Videos, IEEE International Conference on Image Processing, Hong Kong, Sept. 2010.
    14. M. Patel, N. M. Nasrabadi and R. Chellappa, “Automatic target recognition based on simultaneous sparse representation”, International Conference on Image Processing, Hong Kong, Sept. 2010.
    15. Ni and R. Chellappa, “Evaluation of state-of-the-art algorithms for remote face recognition”, International Conference on Image Processing, Hong Kong, Sept. 2010.
    16. M. Patel, R. Chellappa, and M. Tistarelli, “Sparse representations and random projections for robust and cancelable biometrics,” International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, Dec. 2010.
    17. Mitra, S. Sheorey, and R. Chellappa. “Large-Scale Matrix Factorization with Missing Data under Additional Constraints”, Advances in Neural Information Processing Systems, Vancouver, BC, December 2010.

    2009

    1. Li and R. Chellappa, “Recognizing Coordinated Multi-object Activity Using a Dynamic Event Ensemble Model, Special Session: Video Search and Event Analysis”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Taipei, Taiwan, April 2009.
    2. R. Schwartz, R. Gopalan, R. Chellappa, and L. S. Davis, “Robust Human Detection under Occlusion by Integrating Face and Person Detectors”, Proc. Intl. Conf. on Biometrics, Sardigna, Italy, June 2009.
    3. Li, R. Chellappa, S. K. Zhou, “Learning Multi-modal Densities on Discriminative Temporal Interaction Manifold for Group Activity Recognition”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Miami, Florida, June 2009.
    4. Turaga and R. Chellappa. “Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian”, at IEEE conference on Computer Vision and Pattern Recognition, June 2009.
    5. K. Pillai, V. M. Patel, R. Chellappa, “Sparsity Inspired Selection and Recognition Of Iris Images”, accepted for IEEE Third International Conference on Biometrics: Theory, Applications and Systems, Washington D.C., September 2009.
    6. Tao Wu and Rama Chellappa, “Recognition of Quantized Still Face Images”, Proc. of 3rd IEEE International Conference on Biometrics: Theory, Applications and Systems, Washington DC, September 2009.
    7. M. Patel, G. R Easley, D. M. Healy, Jr. and R. Chellappa, “Compressed Sensing for Synthetic Aperture Radar Imaging”, Proc. IEEE Intl.Conf. on Image Proc., Cairo, Egypt, Nov. 2009.
    8. M. Patel, G. R Easley, R. Chellappa and D. M. Healy, Jr., “Enhancing Sparsity using Gradients for Compressive Sensing”, Proc. IEEE Intl. Conf. on Image Proc., Cairo, Egypt, Nov. 2009.

    2008

    1. Cevher, A. C. Sankaranarayanan and R. Chellappa, “Factorized Variational Approximations for Acoustic Multi Source Localization”, IEEE Conference on Acoustic, Speech, and Signal Processing, Las Vegas, NV, Apr 2008.
    2. Turaga, A. Veeraraghavan and R. Chellappa. “Statistical Analysis on Stiefel and Grassmann manifolds with Applications in Computer Vision”, Proc. IEEE Computer Society Con. on Computer Vision and Pattern Recognition, Anchorage, Alaska, June 2008.
    3. Akdemir, P. Turaga and R. Chellappa. “An Ontology based approach for activity recognition from Video”, in ACM Conference on Multimedia, Vancouver, British Columbia, October 2008.
    4. Turaga and R. Chellappa. “Learning Action Dictionaries from Video”, Proc. IEEE International Conference on Image Processing, San Diego, CA, October 2008.
    5. Cevher, A. C. Sankaranarayanan, M. Duarte, D. Reddy, R. Baranuik and R. Chellappa, “Compressive Sensing for Background Subtraction”, European Conf. on Computer Vision”, Marseilles, France, Oct, 2008.
    6. C. Sankaranarayanan and R. Chellappa, “Stochastic Fusion of Multi-View Gradients”, IEEE Conference on Image Processing, San Diego, CA, Oct 2008.
    7. Reddy, A. C. Sankaranarayanan, V. Cevher and R. Chellappa, “Compressed Sensing for Multi-View Tracking and 3-D Voxel Reconstruction”, Proc. IEEE Conference on Image Processing, San Diego, CA, Oct 2008.
    8. Mitra and R. Chellappa, “A Scalable Projective Bundle Adjustment Algorithm using the L-infinity Norm”, Proc. Indian Conference on Computer Vision, Graphics & Image Processing, 2008, Bhuvaneshwar, India, Dec. 2008.
    9. Biswas, G.Aggarwal, N.Ramanathan and R.Chellappa., “A Non-generative Approach for Face Recognition Across Aging”, 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, Washington D.C., Sept. 2008.

    2007

    1. Hao Wu, R. Chellappa, A. C. Sankaranarayanan and S. K. Zhou, “Robust Visual Tracking using the time-reversibility constraint”, Intl. Conf. on Computer Vision, Rio, Brazil, Oct.
    2. Biswas, G. Aggarwal and R. Chellappa, “Robust Estimation of Albedo for Illumination-invariant Matching and Shape Recovery”, Proceedings of the Eleventh IEEE International Conference on Computer Vision, Rio, Brazil, October, 2007.
    3. Ramachandran, A. Veeraraghavan and Chellappa R., “Fast Bilinear SFM with Side Information”, Proc. IEEE Intl. Conf. on Computer Vision, Rio, Brazil, October 2007.
    4. Biswas, G. Aggarwal and R. Chellappa, “Efficient Indexing For Articulation Invariant Shape Matching And Retrieval”, In Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, June, 2007.
    5. K. Turaga, A. Veeraraghavan and R. Chellappa. “From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems”, in IEEE conference on Computer Vision and Pattern Recognition, Minneapolis, MN, June 2007.
    6. Cevher, R. Chellappa and J. H. McClellan, “Joint Acoustic-video Fingerprinting of Vehicles, Part I”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, April 2007.
    7. Cevher, F. Guo and A. C. Sankaranarayanan, and R. Chellappa, “Joint Acoustic-video Fingerprinting of Vehicles, Part II”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, April 2007.
    8. Liu and R. Chellappa, “Markerless Monocular Tracking of Articulated Human Motion”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, April 2007.
    9. Nandy and R. Chellappa, “Simulation and Analysis of Human Walking Motion”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, April 2007.
    10. Cuntoor and R. Chellappa, “Coarse-to-fine Event Model for Human Activities”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing Honolulu, Hawaii, April 2007.
    11. P. Cuntoor, R. Chellappa, “Epitomic Representation of Human Activities”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, June 2007.
    12. Aggarwal, S. Biswas and R. Chellappa, “Symmetric Objects are Hardly Ambiguous”, In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Minneapolis, MN, June, 2007.

    2006

    1. Soma Biswas, Gaurav Aggarwal and Rama Chellappa, “Invariant Geometric Representation of 3D Point Clouds for Registration and Matching”, Intl. Conf. on Image Processing, Atlanta, GA, Oct. 2006.
    2. -W. Joo and R. Chellappa, “Recognition of Multi-Object Events Using Attribute Grammars,” In Proc. International Conference on Image Processing, Atlanta , GA , Oct. 2006.
    3. Shao, F. Porikli, and R. Chellappa, “A Particle Filter Based Non-rigid Contour Tracking Algorithm with Regulation”, Intl. Conf. Image Processing (Oral Presentation), Atlanta , GA Oct. 2006.
    4. Sundaresan and R. Chellappa, “Segmentation and Probabilistic Registration of Articulated Body Models”, International Conference on Pattern Recognition, Vol. 2, pp. 92-96, Hong Kong , August, 2006.
    5. Sundaresan and R. Chellappa, “Acquisition of Articulated Human Body Models using Multiple Cameras”, IV Conference on Articulated Motion and Deformable Objects, Andratx, Mallorca, Spain, July, 2006.
    6. -W. Joo and R. Chellappa, “Attribute Grammar-Based Event Recognition and Anomaly Detection,” In Proc. International Workshop on Semantic Learning Applications in Multimedia, New York , NY June, 2006.
    7. Mohamed F. Abdelkader, Rama Chellappa, Qinfen Zheng and Alex L. Chan “Integrated Motion Detection and Tracking for Visual Surveillance”, International Conference for Vision Systems (ICVS), Vol. 28, Jan. 2006.
    8. Ashok Veeraraghavan, Rama Chellappa and Amit K. Roy-Chowdhury, “The Function Space of an Activity”, (Oral Paper) at IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2006.
    9. Narayanan Ramanathan and Rama Chellappa, “Modeling Age Progression in Young Faces”, IEEE Computer Vision and Pattern Recognition, Vol. 1, pp: 387-394, New York, June, 2006.
    10. Agrawal, R. Raskar and R. Chellappa, “Edge Suppression by Gradient Field Transformation Using Cross-Projection Tensors”, IEEE Conference on Computer Vision and Pattern Recognition, New York, NY, June. 2006.
    11. Broadwater and R. Chellappa, “An Adaptive Threshold Method for Hyperspectral Target Detection,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing 2006, Vol. 5, pp. V1201-V1204, May 2006.
    12. Agrawal, R. Raskar and R. Chellappa, “What is the Range of Surface Reconstructions from a Gradient Field?” European Conference on Computer Vision, Austria, May 2006.
    13. Feng Guo and Rama Chellappa, “Video Mensuration using a Stationary Camera”, 9th European Conference on Computer Vision, Graz , Austria , May 2006.
    14. Sundaresan and R. Chellappa, “Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues “, Asian Conference on Computer Vision, Hyderabad , Jan. 2006.
    15. Mohamed F. Abdelkader, Rama Chellappa, Qinfen Zheng and Alex L. Chan “Integrated Motion Detection and Tracking for Visual Surveillance”, International Conference for Vision Systems (ICVS), Vol. 28, Jan. 2006.

    2005

    1. Vaswani and Rama Chellappa, “Non-stationary Shape Activities”, IEEE Control and Decision Conf., Seville, Spain, Dec. 2005.
    2. Agrawal & R. Chellappa, “Fusing Depth and Video using Rao-Blackwellized Particle Filter”, First International Conference on Pattern Recognition and Machine Intelligence, Kolkata, India, 2005.
    3. Rama Chellappa, Ashok Veeraraghavan and Gaurav Aggarwal, “Pattern Recognition in Video”, International Conference on Pattern Recognition and Machine Intelligence, Kolkata, India, December, 2005.
    4. Gaurav Aggarwal, Ashok Veeraraghavan and Rama Chellappa, “Facial Pose Tracking in Un calibrated Videos” for International Conference on Pattern Recognition and Machine Intelligence, Kolkata, India December, 2005.
    5. Agrawal, R. Chellappa and R. Raskar, “An Algebraic Approach to Surface Reconstruction from Gradient Fields”, IEEE International Conference on Computer Vision, Beijing, China, October, 2005.
    6. Li, S. Zhou and R. Chellappa, “Appearance Modeling Under Geometric Context”, IEEE International Conference on Computer Vision, Beijing, October, 2005.
    7. Aswin C Sankaranarayanan, Rama Chellappa and Ankur Srivastava, “Algorithmic and Architectural Design Methodology for Particle Filters in Hardware”, International Conference on Computer Design, San Jose, October, 2005.
    8. Gaurav Aggarwal and Rama Chellappa. “Face Recognition in the Presence of Multiple-Illumination Sources”, International Conference on Computer Vision, Beijing, China, October, 2005
    9. Saha, V. Kianzad, J. Schlessman, G. Aggarwal, S. S.Bhattacharyya, W. Wolf, R. Chellappa, “An Architectural Level Design Methodology for Embedded Face Detection” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), September, 2005
    10. Aswin C Sankaranarayanan, Rama Chellappa and Qinfen Zheng, “Tracking Objects in Video Using Motion and Appearance Models”, International Conference on Image Processing, Genoa, Italy, September, 2005.
    11. Yue and R. Chellappa, “Synthesis of Novel Views of Moving Objects in Airborne Video “, British Machine Vision Conference, September, 2005.
    12. B. Broadwater, R. Meth, and R. Chellappa, “Average Relative Radiance Transform for Subpixel Detection,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2005 , Seoul, South Korea, July 2005.
    13. Narayanan Ramanathan, Rama Chellappa, “Face Verification across Age Progression “, Oral presentation, IEEE Conference on Computer Vision and Pattern Recognition, pp. 462-469, Vol 2, San Diego, June 2005.
    14. Cuntoor, B. Yegnanarayana and R. Chellappa, “Interpretation of State Sequences in HMM for Activity Representation”, Proc. IEEE Intl . Conf . on Acoustics, Speech, and Signal Processing, Philadelphia, March, 2005.
    15. Mahesh Ramachandran, Shaohua Kevin Zhou, Divya Jhalani and Rama Chellappa, “A Method for Converting a Smiling Face to a Neutral Face with Applications to Face Recognition”, International Conference on Acoustics, Speech and Signal Processing, Philadelphia, March, 2005.
    16. Agrawal and R. Chellappa, “Moving Object Segmentation and Dynamic Scene Reconstruction Using Two Frames”, IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, Philadelphia, March, 2005
    17. Yue and R. Chellappa, “Pose-Normalized View Synthesis From Silhouettes “, IEEE Intl . Conf . on Acoustics, Speech, and Signal Processing, Philadelphia, March, 2005.
    18. Agrawal and R. Chellappa, “Ego-Motion Estimation and 3D Model Refinement in Scenes with Varying Illumination”, IEEE Computer Society Conf. on Motion, Denver, Colorado, Jan 2005.

    2004

    1. Sundaresan, A. Roy Chowdhury and R. Chellappa, “Multiple View Tracking of Human Motion Modelled by Kinematic Chains”, Proc. Intl. Conf. on Image Processing, Singapore, October 2004.
    2. Shao, S. Zhou and R. Chellappa, “Simultaneous Background and Foreground Modeling for Tracking in Surveillance Video”, Proc. Intl. Conf. on Image Processing, Singapore, October 2004.
    3. Agrawal and R. Chellappa, “Robust Ego-Motion Estimation and 3D Model Refinement Using Depth Based Parallax Model”, Proc. Intl. Conf. on Image Processing, Singapore, October 2004.
    4. Ramanathan, A. Roy Chowdhury and R. Chellappa, “Facial Similarity Across Age, Disguise, Illumination and Pose”, Proc. Intl. Conf. on Image Processing, Singapore, October 2004.
    5. Qian, R. Chellappa and Q. Zheng, “ Robust Bayesian Camera Motion Estimation Using Random Sampling”, Proc. Intl. Conf. on Image Processing, Singapore, October 2004.
    6. Aggarwal, A. Roy Chowdhury and R. Chellappa, “A System Identification Approach for Video-Based Face Recognition”, Proc. Intl. Conf. on Pattern Recognition, Cambridge, UK, August 2004.
    7. Zhou and R. Chellappa, “Multiple-Exemplar Discriminate Analysis for Face Recognition”, Proc. Intl. Conf. on Pattern Recognition, Cambridge, UK, August 2004.
    8. Vaswani and R. Chellappa, “Classification Probability Analysis of Principal Component Null Space Analysis “, Proc. Intl. Conf. on Pattern Recognition, Cambridge, UK, August 2004.
    9. Parameswaran and R. Chellappa, “View Independent Human Body Pose Estimation from a Single Perspective Image”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Washington D.C., June 2004.
    10. Zhou and R. Chellappa, “Probabilistic Identity Characterization for Face Recognition”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Washington D.C., June 2004.
    11. Veeraraghavan, A. Roy Chowdhury and R. Chellappa, “Role of Shape and Kinematics in Human Movement Analysis”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Washington D.C., June 2004.
    12. B. Broadwater, R. Meth, and R. Chellappa, “A Hybrid Algorithm for Subpixel Detection in Hyperspectral Imagery,” IEEE International Geoscience and Remote Sensing Symposium 2004, Anchorage, AK, June 2004.
    13. Kale, A. Roy Chowdhury and R. Chellappa, “Fusion of Gait and Face for Human Identification”, Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Processing, Montreal, Canada, May 2004.
    14. Shao, S. Zhou and R. Chellappa, “Appearance-Based Tracking and Recognition Using the 3D Trilinear Tensor”, Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing, Montreal, Canada, May 2004.
    15. Yue, S. Zhou and R. Chellappa, “Robust Two-Camera Tracking Using Homography”, Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Processing, Montreal, Canada, May 2004.
    16. Agrawal and R. Chellappa, “3D Model Refinement using surface Parallax”, Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Processing, Montreal, Canada, May 2004.
    17. Chellappa, G. Qian and Q. Zheng, “Vehicle Detection and Tracking using Acoustic and Video Sensors”, Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Processing, Montreal, Canada, May 2004.

    2003

    1. Marti-Balcells, D. Doermann, D. DeMenthon and R. Chellappa, “An Appearance Model Based Approach for Human and Object Tracking,” Proc. Intl. Conf. on Image Processing Vol. 2, pp. 85-88, Barcelona, Spain, Sept. 2003.
    2. Sundaresan, A. Roy Chowdhury and R. Chellappa, “A Hidden Markov Model Based Framework for Recognition of Humans from Gait Sequences,” Proc. Intl. Conf. on Image Processing, Vol. 2, pp. 93-96, Barcelona, Spain, Sept. 2003.
    3. Kale, A. Roy Chowdhury and R. Chellappa, “Towards View Invariant Gait Recognition Algorithm”, Proc. IEEE Conf. on Advanced Video and Signal Based Surveillance, Miami, FL, pp. 143-150, July 2003.
    4. Yue, L. Zhao and R. Chellappa, “View Synthesis of Articulating Humans Using Visual Hull”, Proc. Intl. Conf. on Multimedia and Expo, Baltimore, MD Vol. 1, pp. 489-492, July 2003.
    5. Yamamoto and R. Chellappa, “Shape and Motion Driven Particle Filtering for Human Body Tracking”, Proc. Intl. Conf. on Multimedia and Expo, Baltimore, MD Vol. 3, pp. 61-64, July 2003.
    6. Zhou, R. Chellappa and B. Moghaddem, “Adaptive Visual Tracking and Recognition Using Particle Filters,” Proc. Intl. Conf. on Multimedia and Expo, Baltimore, MD Vol. 2, pp. 349-352, July 2003.
    7. Parameswaran and R. Chellappa, “View Invariants for Human Action Recognition”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Madison, WI, Vol. 2, pp. 613-619, June 2003.
    8. Vaswani, A. Roy Chowdhury and R. Chellappa, “Activity Recognition Using the Dynamics of the Configuration of Interacting Objects”, IEEE Computer Vision and Pattern Recognition, Madison, WI, Vol. 2 633-640, June 2003.
    9. Roy Chowdhury, A. Kale and R. Chellappa, “Video Synthesis of Arbitrary Views for Approximately Planar Scenes”, Proc. International Conf. on Acoustics, Speech and Signal Processing, Hong Kong, Vol. 3, pp. 497-500, April 2003.
    10. Vaswani, A. Roy Chowdhury, and R. Chellappa, “Statistical Shape Theory for Activity Modeling” , Proc. International Conf. on Acoustics, Speech and Signal Processing, Hong Kong, Vol. 3, pp. 493-496, April 2003.
    11. Zhou and R. Chellappa, “Simultaneous Tracking and Recognition of Human Face from Video,” Proc. International Conf. on Acoustics, Speech and Signal Processing, Hong Kong, Vol. 3, 225-228, April 2003.
    12. Cuntoor, A. Kale and R. Chellappa, “Combining Multiple Evidences for Gait Recognition,” Proc. International Conf. on Acoustics, Speech and Signal Processing, Hong Kong, Vol. 3, pp. 33-36, April 2003.

    2002

    1. Liu, R. Chellappa and A. Rosenfeld, “Accurate Optical Flow Estimation Using Structure Tensor Approach,” Intl. Conf. on Pattern Recognition, Quebec City, Canada, August 2002.
    2. Qian, R. Chellappa, and Q. Zheng, Bayesian Structure From Motion Using Inertial Information, IEEE International Conference on Image Processing, Rochester, NY, pp. III:425-428, 2002.
    3. Qian, R. Chellappa, and Q. Zheng, A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects, International Conference on Pattern Recognition, Quebec City, Canada, I.9, 2002.
    4. R. Chowdhury, R. Chellappa, S. Krishnamurthy, and T. Vu, “3D Face Reconstruction from Video Using a Generic Model”, International Conference on Multimedia, Switzerland, pp. I:449-452, 2002.
    5. Zhou and R. Chellappa, “A Robust Algorithm for Probabilistic Human Recognition from Video”, International Conference on Pattern Recognition, Quebec City, Canada, vol. I, pp. 226-229, 2002.
    6. Zhou and R. Chellappa, “Probabilistic Human Recognition from Video”, European Conf. on Computer Vision, Copenhagen, Denmark, pp. 681-697, May 2002.
    7. Qian and R. Chellappa, “Bayesian Self Calibration of a Moving Camera”, European Conf. on Computer Vision, Copenhagen, Denmark, pp. 277-293, May 2002.
    8. Zhou, V. Krueger and R. Chellappa, “Face Recognition from Video: A Condensation Approach”, Proceedings. Fifth IEEE International Conference on Automatic Face and Gesture Recognition, Washington D.C, pp. 221-226, May 2002.
    9. Liu, R. Chellappa and A. Rosenfeld “Fast Two-frame Multiscale Dense Optical Flow Estimation Using Discrete Wavelet Filters “, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 3588-3591, Orlando, 2002.
    10. R. Chowdhury and R. Chellappa, “Towards a Criterion for Evaluating the Quality of 3D Reconstructions”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 3321-3324, Orlando, 2002.
    11. Chellappa, S. Zhou and B. Li, “Bayesian Methods for Face Recognition from Video”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 4068-4071, Orlando, 2002.
    12. Kale, N. Cuntoor and R. Chellappa, “A Framework for Activity-Specific Human Identification”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 4, pp. 3660-3663, Orlando, 2002.

    2001

    1. R. Chowdhury and R. Chellappa, Robust Estimation of Depth and Motion Using Stochastic Approximation, International Conference on Image Processing, Greece, pp. Vol.1:642- 645, 2001.
    2. Moon, R. Chellappa, and A. Rosenfeld, “3D Object Tracking Using Shape-Encoded Particle Propagation”, International Conference on Computer Vision, Vancouver, Canada, pp. II:307-314, 2001.
    3. Qian and R. Chellappa, “Structure From Motion Using Sequential Monte Carlo Methods”, International Conference on Computer Vision, Vancouver, Canada, pp. II:614- 621, 2001.
    4. B. Li, R Chellappa and H. Moon “Monte Carlo Simulation Techniques for Probabilistic Tracking”, Conference Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, Vol. 1, pp. 75-82, 2001.

  • 1991-2000

    2000

    1. Moon, R. Chellappa and A. Rosenfeld, “Optimal Shape Detection”, Proc. Intl. Conf. Image Processing, Vancouver, Canada, pp. 885-888, Vol. III, Sept. 2000.
    2. Shekerforoush and R. Chellappa, “A Multifractal Formalism for Stabilization, Object Detection and Tracking in FLIR Sequences”, In Proc. IEEE Intl. Conf. Image Processing, pp. 78-81, Vol. III, Sept. 2000.
    3. N. Rajagopalan and R. Chellappa, “Vehicle Detection and Tracking in Video”, in Proc. IEEE Intl. Conf. on Image Processing, Vancouver, Canada, Sept 2000.
    4. N. Rajagopalan and R. Chellappa, “Higher-order spectral Analysis of Human Motion”, In Proc. IEEE Intl. Conf. Image Processing Vancouver, Canada, Sept. 2000.
    5. Banerjee and R. Chellappa, “Tumor Detection in Digital Monogram”, In Proc. Intl. Conf. Image Processing, Vancouver, Canada, pp. 432-435, Vol. III, Sept. 2000.
    6. Zhao and R. Chellappa, “3D Model Enhanced Face Recognition”, In Proc. Intl. Conf. Image Processing, Vancouver, Canada, pp. 50-53, Vol. III, Sept. 2000.
    7. Li and R. Chellappa, “Gabor Attributes Tracking for Face Verification”, in Proc. Intl Conf. Image Processing, Vancouver, Canada, pp. 45-48, Vol, I, Sept. 2000.
    8. Qian, Q. Zheng and R. Chellappa, “Reduction of Inherent Ambiguities in Structure from Motion using Inertial Data”, in Proc. Intl. Conf. on Image Processing, Vancouver, Canada, Sept. 2000.
    9. Qian, A. Kale and R. Chellappa, “Robust Estimation of Motion and Structure Using a Discrete it a Filter”, Proc. Intl. Conf. on Image Processing, Vancouver, Canada, Sept 2000.
    10. Zhao and R. Chellappa, “Face Recognition Using Symmetric Shape from Shading “, In Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn. Hilton Head, SC, Vol. 4 pp. 286-293, June 2000.
    11. Li and R. Chellappa “Simultaneous Tracking and Verification Using Sequential Importance Sampling”, In. Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Hilton Head, SC, Vol. 2 pp. 110-117, June 2000.

    1999

    1. N. Rajagopalan, P. Burlina and R. Chellappa, “Higher Order Statistical Learning for Vehicle Detection in Images,” Proc. IEEE Intl. Conf. on Computer Vision, Kerkyra, Greece, pp. 1204-1209, Sept. 1999.
    2. Chellappa, G. Qian and S. Srinivasan, “Depth Estimation Using Discrete and Continuous Approaches,” Invited paper, Intl. Conf. on Image Processing, Kobe City, Japan, Oct. 1999.
    3. Meth and R. Chellappa, “Feature Matching and Target Recognition in SAR Images,” Proc. Intl. Conf. on Acoust., Speech and Signal Proc., Arizona, March 1999.
    4. Srinivasan and R. Chellappa, “Fast Structure from Motion Recovery Applied to 3-D Image Stabilization,” Proc. Intl. Conf. on Acoust., Speech and Signal Proc., pp. 3357-3360 Arizona, March 1999.
    5. Li and R. Chellappa, “Dynamic Object Identification and Verification from Video,” Proc. Intl. Conf. on Acoust., Speech and Signal Proc., Arizona, March 1999.

    1998

    1. Phillips, S. Degraaf, S. and R. Chellappa, “Enhanced Segmentation of SAR Image Using non-Fourier Imaging, “Proceedings of IEEE International Conf. on Image Processing, Chicago IL, pp. 583-586, Oct. 1998.
    2. Zheng and R. Chellappa, “Model-Based Target Recognition in Pulsed Ladar Imagery”, Proc. IEEE Conf. on Computer Vision and Patt. Recog., Santa Barbara, CA, pp. 515-520, June 1998.
    3. Srinivasan and R. Chellappa “Optical flow Using Overlapped Basis Functions for Solving Global Motion Problem”, Proc. European Conference on Computer Vision (ECCV), Freiburg Germany, June 1998.
    4. Zhao, R. Chellappa and N. Nandhakumar, “Empirical Performance Analysis of Linear Discriminant Classifiers”, Proc. IEEE. Conf. Comp. Vision Pattern Recog., Santa Barbara, CA, pp. 164-169, June 1998.
    5. Meth, R. Chellappa and S. Kuttikkad, “Target Aspect Estimation from Single and Multi- pass SAR Images, “Proceedings of IEEE International Conf. on Acoustics, Speech and Signal Processing, Seattle WA, pp. 2745-2748, May, 1998.
    6. Morimoto and R. Chellappa, “Evaluation of Image Stabilization Algorithms,” Proceedings of IEEE International Conf. on Acoustics, Speech and Signal Processing, Seattle WA, pp. 2789-2792, May, 1998.
    7. Banerjee, P. Burlina, R. Chellappa and R. Kapoor, “Frequency Dependence of ATD Performance in foliage-penetrating SAR images,” Proceedings of IEEE International Conf. on Image Processing, Chicago IL, pp. 578-582, October, 1998.
    8. Srinivasan and R. Chellappa, “Multiple Description Subband Coding “Proceedings of IEEE International Conf. on Image Processing, Chicago IL. pp. 648-668, October 1998.

    1997

    1. Parameswaran, P. Burlina and R. Chellappa, “Performance Analysis and Learning Approaches for Vehicle Detection and Counting”, Proc. Intl. Conf. Acoust., Speech, Signal Processing, Munich Germany, April, 1997.
    2. Srinivasan and R. Chellappa, “Joint Source-Channel Coding of Images”, Proc. IEEE Intl. Conf. Acoust., Speech, Signal Processing, Munich, Germany, Vol. 4, pp. 2925-2928, April 1997.
    3. Phillips and R. Chellappa, “SAR Target Detection Algorithms on Linear SIMD Arrays”, Proc. Intl. Conf. Acoust., Speech, Signal Processing, Munich, Germany, pp. 4101-4105, April 1997.
    4. Meth and R. Chellappa, “Stability and Sensitivity of Topographic Features for SAR Target Characterization”, Proc. Intl. Conf. Image Processing, Santa Barbara, CA Vol. 3 pp. 467-467, Oct 1997.
    5. Srinivasan and R. Chellappa, “Image Stabilization and Mosaicking Using the Overlapped Basis Optical Flow Field”, Proc. Intl. Conf. on Image Processing, Santa Barbara, CA, Vol. 3, pp. 356-359, Oct. 1997.
    6. Mathieu-Marni, S. Kuttikad and R. Chellappa, “Centext-Aided False Alarm Reduction of SAR Automatic Target Recognition”, Proc. Intl. Conf. Image Processing, Santa Barbara, CA, Vol. 1, pp. 885-888, Oct. 1997.
    7. Morimoto, P. Burlina and R. Chellappa, “Video Coding Using Hybrid Motion Compensation”, Proc. Intl. Conf. on Image Processing, Santa Barbara, CA, Vol. 1, pp. 89- 92, Oct. 1997.
    8. Morinoto and R. Chellappa “Fast 3-D Stabilization and Mosaic Construction”, IEEE Computer Society Conf. of Computer Vision and Pattern Recognition, Puerto Rico, pp. 660- 665, June 1997.

    1996

    1. Burlina, C.L. Lin and R. Chellappa, “On a Spectral Attentional Mechanism”, Proc. IEEE Conf. on Computer Vision and Patt. Recn., San Francisco, CA, June 1996.
    2. Morimoto, P. Burlina, R. Chellappa, and Y.S. Yao, “Performance Analysis of Model- based Video Coding”, Proc. Intl. Conf. on Image Processing, Lausanne, Switzerland Vol. 3 pp. 279-282, Sept. 1996.
    3. Balakirsky and R. Chellappa, “Performance Characterization of Image Stabilization Algorithms”, Proc. Intl. Conf. on Image Processing, Lausanne, Switzerland, Vol. 2, pp. 413- 416, Sept. 1996.
    4. Alajaji, P. Burlina and R. Chellappa, “Map Decoding at Gray-level Images Over Binary Channels wit memory”, Proc. Intl. Conf. on Image Processing, Lausanne, Switzerland, Vol. 2, pp. 29-32, Sept. 1996.
    5. Zhang, P. Burlina, Q. Zheng and R. Chellappa, “Automatic Image to Site Model Registration”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Atlanta, GA, pp. 2164-2167, May 1996.
    6. Meth and R. Chellappa, “Target Indexing in Synthetic Aperture Radar Imagery Using Topographic Features”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Altanta, GA, pp. 2152-2155, May 1996.
    7. Etemad and R. Chellappa, “Face Recognition Using Discriminant Functions”, Proc. Intl. Conf. on Acoustics, Speech and Signal Processing, Atlanta, GA, pp. 2148-2151, May 1996.
    8. Liu, T.H. Hong, M. Herman and R. Chellappa, “Accuracy Vs Efficiency Trade Offs in Optical Flow Algorithms”, Proc. European Conference on Computer Vision, Vol. 2, pp. 174-183, April 1996.

    1995

    1. Krishnamachari and R. Chellappa “GMRF Models and Wavelet Decomposition for Texture Segmentation”, Proc. Second Intl. Conf. on Image Processing, pp. 568-571, Washington, D.C., Oct. 1995.
    2. C. Liu, T.H. Hong, M. Herman and R. Chellappa, “Spatio-temporal Filters for Transparent Motion Segmentation”, Proc. Second Intl. Conf. on Image Processing, pp. 464- 468, Washington D.C., Oct. 1995.
    3. S. Yao, P. Burlina and R. Chellappa, “Electronic Image Stabilization Using Multiple Visual Cues”, Proc. Second Intl. Conf. on Image Processing, pp. 191-194, Washington D.C., Oct. 1995.
    4. J. Kwon, R. Chellappa and C. Morimoto, “Motion Compensated subband coding of video Acquired from a Moving Plat Form”, Proc. Intl. Conf. Acoust., Speech, Signal Processing, pp. 2185-2188, Detroit MI, May 1995.
    5. Etemad and R. Chellappa, “Dimensionality Reduction of Multiscale Feature Spaces Using a Separability Criterion”, Proc. Intl. Conf. Acoust., Speech, Signal Processing, pp. 2547-2550, Detroit, MI, May 1995.
    6. Krishnamachari and R. Chellappa, “Multiresolution GMRF Models for Texture Segmentation”, Proc. Intl. Conf. Acoust., Speech, Signal Processing, pp. 2407-2410, Detroit, MI May 1995.

    1994

    1. Etemad, etal, “Page Segmentation Using Decision Integration and Wavelet Packet Basis”, Intl. Conf. on Patt., Recn., Vol. B Jerusalem, Israel, pp. 345-349, Oct. 1994.
    2. Liu, etal, “A Generalized Motion Model for Estimating Optical Flow Using 3-D Hermite Polynomials”, Intl. Conf. Patt. Recn., Vol. A, Jerusalem, Israel, pp. 361-366, Oct. 1994.
    3. S. Yao and R. Chellappa, “Dynamic Feature Point Tracking in an Image Sequence”, Intl. Conf. on Patt. Recn. Vol. A, Jerusalem, Israel, pp. 654-657, Oct. 1994.
    4. H. Wu and R. Chellappa, “Stereoscopic Recovery of Egomotion and Structure: Models, Uniqueness and Experimental Results”, Intl. Conf. on Patt. Recn, Vol. A, Jerusalem, Israel, pp. 645-648, Oct. 1994.
    5. S. Yao and R. Chellappa, “Estimation of Vehicle Dynamics form Monocular Noisy Images”, Intl. Conf. on Patt. Rec., Vol. A, Jerusalem, Israel, pp. 641-644, Oct. 1994.
    6. Parulekar, etal, “High Performance Computing for Land Cover Dynamics”, Intl. Conf. on Patt. Recn., Vol. D, Jerusalem, Israel, pp. 234-238, Oct. 1994.
    7. B. Eom and R. Chellappa “Speech Classification by Hierarchical Stochastic Modeling”, Intl. Conf. on Patt. Recn., Vol. C, Jerusalem Israel, pp. 20-24, Oct. 1994.
    8. Burlina and R. Chellappa, “Spatiotemporal Moments and Generalized Spectral Analysis of Divergent Images for Motion Estimation”, First Intl. Conf. on Image Processing, Austin, Texas, Nov. 1994.
    9. Zheng and R. Chellappa, “Automatic Registration of Oblique Aerial Images”, First Intl. Conf. on Image Processing Austin, Texas, Nov. 1994.
    10. Etemad and R. Chellappa, “Separability Based Tree Structured Local Basis Selection for Texture Classification”, First Intl., Conf. on Image Processing, Austin, Texas, Nov. 1994.
    11. J. Kwon and R. Chellappa, “Region Based Subband Image Coding Scheme”, First Intl. Conf. on Image Processing, Austin, Texas, Nov. 1994.
    12. Kuttikad and R. Chellappa “Non-Gaussian CFAR Techniques for Target Detection in High Resolution SAR Images”, First Intl. Conf. on Image Processing, Austin, Texas, Nov. 1994.
    13. Der and R. Chellappa, “Probe Based Recognition of Targets in Infrared Images”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Settle, WA, pp. 870-875, June 1994.
    14. L. Lin, etal “Site-Model Based Monitoring of Aerial Images”, Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Seattle, WA, pp. 694-699, June 1994.
    15. Burlina and R. Chellappa, “Time-to-X: Analysis of Motion Through Temporal Parameters”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt., Recn., Seattle, WA, pp. 461-468, June 1994.
    16. Wang, R. Chellappa and Q. Zheng, “Detection of Point Targets in High Resolution SAR Images”, Intl. Conf. on Acoust. Speech and Signal Processing, Adelaide, Australia, 1994.
    17. B. Eom and R. Chellappa, “Hierarchical Stochastic Modeling for Speech Compression”, Intl. Conf. on Acoust. Speech and Signal Processing, Adelaide, Australia, 1994.
    18. Krishnamachari and R. Chellappa, “An Energy Minimization Approach for the Detection of Buildings in Aerial Images”, Intl. Conf. on Acoust. Speech and Signal Processing, Adelaide, Australia, 1994.

    1993

    1. Abdel-Motteleb, R. Chellappa and A. Rosenfeld, “ Binocular Motion Stereo using MAP Estimation”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., New York, NY June 1993.
    2. Zheng and R. Chellappa, “ Automatic feature point Extraction and Tracking in Image Sequences for Unknown Camera motion”, Proc. Fourth Intl. Conf. on Computer Vision, Berlin, Germany, pp. 335-339, May 1993.
    3. Zheng and R. Chellappa, “Motion Detection Using Image Sequences Acquired from a Moving Platform”, Proc. Intl. Conf. on Acoust. Speech and Signal Processing, Minneapolis, MN, April 1993.
    4. S. Yao and R. Chellappa,” Feature Correspondence Using Probabilistic Data Association”, Proc. Intl. Conf. on Acoustic. Speech and Signal Processing, Minneapolis, MN, April 1993.
    5. Burlina and R. Chellappa, “ On time-to Contact Estimation for Arbitrary order looming motion”, Proc. Conf. on information Sciences and Systems, The Johns Hopkins University, Baltimore, March 1993.
    6. H. Wu and R. Chellappa, “ Experiments on Estimating Motion and Structure Parameters Using Long Monocular Image Sequences”, Proc. Conf. on Information Sciences and Systems, The Johns Hopkins University, Baltimore, MD, March 1993.
    7. Etemad and R. Chellappa, “A Neural Network Based Edge Detector”, Proc. Intl. Conf. on Neural Networks, San Francisco, CA, March 1993.

    1992

    1. Zheng and R. Chellappa, “A Computational Vision Approach to Image Registration,” Proc. Eleventh Intl. Conf. on Pattern Recognition, Hague, The Netherlands, August 1992.
    2. S. Manjunath, R. Chellappa and C. Shekhar, “ Robust Feature Extraction,” Proc. Eleventh Intl. Conf. on Pattern Recognition, Hague, The Netherlands, August 1992.
    3. S. Manjunath, R. Chellappa and C. von der Malsburg, “A Feature Based Approach to Face Recognition,” Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Urbana, IL, June 1992.
    4. Rignot and R. Chellappa, “A Bayes Classifier for Change Detection in SAR Imagery,” Proc. Intl. Conf. on Acoust., Speech and Signal Proc., San Francisco, CA, March 1992.
    5. J. Kwon and R. Chellappa, “Segmentation-Based Image Compression,” Proc. 1992 Conf. on Information Sciences and Systems, Princeton, NJ, March 1992.

    1991

    1. Chandrashekhar, C. Von der Malsburg and R. Chellappa, “Recursive Tracking of Image Points Using Labelled Graph Matching,” IEEE Intl. Conf. on Systems, Man and Cybernetics, Charlottesville, VA, pp. 231-236, Oct. 1991.
    2. Venkateswar and R. Chellappa, “Hierarchical Stereo Matching Using Feature Groupings,” Intl. Conf. on Tools for AI, San Jose, CA, Nov. 1991.
    3. Rignot, R. Chellappa, P. Dubois, R. Kwok and J.V. Zyl, “Unsupervised Segmentation of Polarimetric SAR Data Using the Covariance Matrix,” Intl. Geoscience and Remote Sensing Symposium, Espoo, Finland, June 1991.
    4. Rignot, R. Chellappa and R. Kwok, “Classification of Multifrequency Multilook Synthetic Aperture Data,” Intl. Geoscience and Remote Sensing Symposium, Espoo, Finland, June 1991.
    5. Zheng and R. Chellappa, “Estimation of Illuminant Direction, Albedo and shape from Shading,” IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Maui, pp. 540-545, June 1991.
    6. S. Manjunath and R. Chellappa, “A Unified Approach to Boundary Perceptions: Edges, Textures and Illusory Contours,” IEEE Computer Society Conf. on Vision and Pattern Recognition, Maui, pp. 358-363, June 1991.
    7. Rangarajan and R. Chellappa, “ Image Estimation and Segmentation Using a Continuation Method,” Intl. Conf. on Acoust, Speech and Signal Processing, Toronto, Canada, May 1991.
    8. S. Young and R. Chellappa, “Monocular Motion Estimation Using a Long Sequence of Noisy Images,” Intl. Conf. on Acoust., Speech and Signal Processing, Toronto, Canada, May 1991.
    9. E. Rignot and R. Chellappa, “Segmentation of Multi Frequency Synthetic Aperture Radar Complex Data”, Intl. Conf. on Acoust., Speech and Signal Processing, Toronto, Canada, May 1991.

  • 1980-1990

    1990

    1. Hadadi, K. Hwang and R. Chellappa, “Viscom: An Orthogonal Multiprocessor for Early Vision and Neural Computing”.10th International Conference on Pattern Recognition, Computer Architecture Track, Atlantic City, NJ, pp. 265-271, June 1990.
    2. Venkateswar and R. Chellappa, “Intelligent Interpretation of Aerial Images”. 10th Intl. Conf. on Patt. Recog. Computer Vision Track, Atlantic City, NJ, pp. 204-206, June 1990.
    3. S. Young and R. Chellappa, “Statistical Analysis of Inherent Ambiguities in Motion Estimation From Noisy Flow Field: General Motion”. 10th Intl. Conf. on Patt. Recog. Computer Vision Track, Atlantic City, NJ, pp. 371-377, June 1990.
    4. Rangarajan and R. Chellappa, “The Generalized Graduated Non-convexity Algorithm for Image Estimation”. 10th Intl. Conf. on Patt. Recog., Image and Signal Processing Track, Atlantic City, NJ, pp. 127-133, June 1990.
    5. S. Young and R. Chellappa, “Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field: Planar Case”, Intl. Conf. on Acoust. Speech and Signal Proc., Albuquerque, New Mexico, May 1990.
    6. R. Hansen and R. Chellappa, “Empirical Robust Estimators for A Class of Noncausal Autoregressive Models”, Intl. Conf. on Acoust. Speech and Signal Proc., Albuquerque, New Mexico, May 1990.
    7. Zerubia and R. Chellappa, “Mean Field Approximation Using Compound Gauss Markov Random Field for Edge Detection and Image Restoration”, Intl. Conf. on Acoust., Speech and Signal Proc., Albuquerque, New Mexico, May 1990.
    8. Rignot and R. Chellappa, “Segmentation of SAR Images: Statistical Models and Experimental Results,” Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Nov. 1990.
    9. T. Zhou and R. Chellappa, “A Network for Motion Perception,” Intl. Joint Conf. on Neural Networks, San Diego, June 1990.
    10. Greenspan, R. Goodman and R. Chellappa, “Texture Analysis via Unsupervised and Supervised Learning,” Proc. 1990 Intl. Joint Conf. on Neural Networks, pp. 639-644, July 1990.
    11. Rignot and R. Chellappa, “Segmentation of SAR Images: Statistical Models and Experimental Results,” Asilomar Conference on Signals, Systems and Computers, Monterey, CA, Nov. 1990.
    12. T. Zhou and R. Chellappa, “A Network for Motion Perception,” Intl. Joint Conf. on Neural Networks, San Diego, June 1990.

    1989

    1. Rangarajan and R. Chellappa, “Parallel Deterministic Networks for Image Estimation Using a Penalty Function Approach”, Intl. Joint Conf. on Neural Networks, Washington D.C., June 1989.
    2. T. Zhou and R. Chellappa, “Neural Network Algorithms for Motion Stereo”, Intl. Joint Conf. on Neural Networks, Washington D.C., June 1989.
    3. Simchony, R. Chellappa and Z. Lichtenstein, “Graduated Non-convexity Algorithm for Image Estimation Using Compound Gauss Markov Random Field Models”, Proc. International Conference on Acoust. Speech and Signal Processing, Glasgow, Scotland, May 1989.
    4. Zheng and R. Chellappa, “Estimation of Surface Topography from Stereo SAR Images” Proc. International Conference on Acoustics, Speech and Signal Processing, Glasgow, Scotland, May 1989.

    1988

    1. Simchony, R. Chellappa and Z. Lichtenstein, “Pyramid Implementation of Optimal Step Conjugate Gradient Algorithms for Some Computer Vision Problems”, Second International Conference on Computer Vision, Tampa, FL, Dec. 1988.
    2. S. Young and R. Chellappa, “Estimation of 3-D Motion Parameters from a Sequence of Noisy Stereo Images”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Ann Arbor, MI, June 1988.
    3. Shao, T. Simchony and R. Chellappa, “New Algorithms for Reconstruction of 3-D Depth Map from one or more Images”, Proc. IEEE Computer Society Conf. on Computer Vision and Patt. Recn., Ann Arbor, MI, June 1988.
    4. Hansen, Jr. and R. Chellappa, “High Resolution Model Based 2-D Spectral Estimation” Proc. Intl. Conf. on Acoust., Speech and Signal Proc., New York, New York, April 1988.
    5. Kalivas, A.A. Sawchuk and R. Chellappa, “Segmentation and 2-D Motion Estimation of Noisy Image Sequences”, Proc. Intl. Conf. on Acoust., Speech and Signal Proc., New York, New York, April 1988.
    6. Yitong and R. Chellappa, “Stereo Matching Using Neural Network”, Proc. Intl. Conf. on Acoust., Speech and Signal Proc., New York, New York, April 1988.
    7. Simchony and R. Chellappa, “Stochastic and Deterministic Algorithms for Texture Segmentation”, Proc. Intl. Conf. on Acoust., Speech and Signal Proc., New York, New York, April 1988.
    8. Yitong and R. Chellappa, “Computation of Optical Flow Using a Neural Network”, Proc. Intl. Conf. on Neural Networks, San Diego, CA, July 1988.
    9. S. Young and R. Chellappa, “3-D Motion Estimation from a Sequence of Noisy Stereo Images”, Proc. Conf. on Information Sciences and Systems, Princeton University, Princeton, New Jersey, March 1988.

    1987

    1. T. Frankot and R. Chellappa, “A Method for Enforcing Integrability in Shape from Shading Problems,” First Intl. Conf. on Computer Vision, London, June 1987.
    2. T. Zhou and R. Chellappa, “A Novel Approach to Image Restoration Based on a Neural Network,” First Annual Intl. Conf. on Neural Network, First Annual Intl. Conf. on Neural Network, San Diego, CA, June 1987.
    3. T. Zhou and R. Chellappa, “Linear Feature Extraction Based on an AR Model Edge Detector,”Intl. Conf. Acoust., Speech and Signal Proc., Dallas, Texas, April 1987.
    4. Hansen Jr. and R. Chellappa, “2-D Spectrum Estimation for Imperfectly Observed Lattice Data,” Intl. Conf. Acoust., Speech and Signal Proc., Dallas, Texas, April 1987.
    5. Jinchi, T. Simchony and R. Chellappa, “Stochastic Relaxation for MAP Restoration of Gray Level Images with Multiplicative Noise,” Intl. Conf. Acoust., Speech and Signal Proc., Dallas, Texas, April 1987.
    6. T. Zhou, et al., “Estimation of Filtering Properties of Living Tissues for Inverse Filtering of Surface EMG Signals”, Intl. Conf. Acoust., Speech and Signal Proc., Dallas, Texas, April 1987.

    1986

    1. Zhou, A Rangarajan, and R. Chellappa, “Edge Detection in Noisy Images Using Simultaneous Filtering and Detection,” Proc International Symposium on Information, Theory, Ann Arbor, MI, pp. 56, Oct. 1986.
    2. Yitong Zhou, Rama Chellappa and V. Venkateswar, “Edge Detection Using the Directional derivatives of a Correlated Random Field Model” Proc. of the IEEE Conf. on Computer Vision and Patt. Recn, Miami Beach, Florida, pp. 115-121, June 1986.
    3. Ted Broida and Rama Chellappa, “Kinematics of a Rigid Rigid Object from a Sequence of Noisy Images: A Batch Approach”, Proc. of the IEEE Conf. on Computer Vision and Patt. Recn., Miami Beach, Florida, pp. 176-182, June 1986.
    4. Chunchan Lin and Rama Chellappa, “Classification of 2-D Shapes with Missing Segments Using Fourier Descriptors”, Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, Miami Beach, Florida, pp. 344-350, June 1986.
    5. Yitong Zhou, Rama Chellappa, and George A. Bekey, “Estimation of IM EMG Signal from Surface EMG Signal Analysis”, Proc. of the IEEE Intl. Conf. on Acoust., Speech, Signal Processing, Tokyo, April 1986.
    6. Yitong Zhou, Rama Chellappa, and V. Venkateswar, “Edge Detection Using Second Directional Derivatives of a Random Field Model”, Proc. of the, IEEE Intl. Conf. on Acoust., Speech, Signal Processing, Tokyo, Japan, April 1986.
    7. Robert T. Frankot and Rama Chellappa, “Lognormal Random Field Models and Their Applications to Radar Image Synthesis”, Proc. of the IEEE Intl. Conf. on Acoust., Speech, Signal Processing, Tokyo, Japan, April 1986.
    8. Hao and R. Chellappa, “Restoration of Blurred and Noisy Images Using Gauss Markov Random Field Models”, Conf. on Information Sciences Systems, Princeton University, March 1986.

    1985

    1. Robert T. Frankot and Rama Chellappa, “A Decision Rule for the Choice of Gaussian or Lognormal AR models for Images”, Proc. of the Conf. on Computer Vision and Patt. Recog., San Francisco, pp. 209-211, June 1985.
    2. Shankar Chatterjee and Rama Chellappa, “Maximum Likelihood Segmentation of Texture Using Gauss Markov Random Fields”, Proc. of the Conf. on Computer Vision and Patt. Recog., San Francisco, pp. 215-217, June 1985.
    3. Ted Broida and Rama Chellappa, “Estimation of Object Motion Parameters from a Sequence of Noisy Images”, Proc. of the Conf. on Computer Vision and Patt. Recog., San Francisco, pp. 82-88, June 1985.
    4. Paul Singer and Rama Chellappa, “Machine Perception of Partially Obscured Planar Shapes”, Proc. of the Conf. on Computer Vision and Patt. Recog., San Francisco, pp. 487-502 June 1985.
    5. Chellappa and J. Hao, “Estimation in Noisy Images Using Non-Causal Models”, Proc. of the Intl. Conf. on Acoust., Speech and Signal Proc., Tampa, Florida, March 1985.
    6. Sharma and R. Chellappa, “Confidence Intervals for a class of 2-D Spectral Estimates”, Proc. of the Intl. Conf. on Acoust., Speech and Signal Proc., Tampa, Florida, March 1985.

    1984

    1. A. Bekey, R. Chellappa, and J.K. Cronley, “A Signal Processing Approach to Estimation of Intramuscular Potentials”, Proc. of the Conf. on Mathematics and Computers in Biomedical Applications, Washington, D.C., pp. 373-380, Aug. 1984.
    2. Sharma and R. Chellappa, “An Iterative Algorithm for 2-D Robust Spectral Estimation”, Proc. of the Intl. Conf. on Acoust, Speech and Signal Proc., San Diego, March 1984.
    3. Chellappa and S. Chatterjee, “Classification of Textures Using Markov Random Field Models”, Proc. of the Intl. Conf. on Acoust., Speech and Signal Proc., San Diego, March 1984.
    4. Sharma and R.Chellappa, “A Model Based Approach for 2-D Maximum Entropy Power Spectral Analysis”, Proc. of the Intl. Conf. on Acoust., Speech and Signal Proc., San Diego, March 1984.
    5. Chellappa and G. Sharma, “Realizing Gaussian Markov Random Fields from Correlations”, Conf. on Inform. Sciences and Systems, Princeton, March 1984.
    6. Chellappa and G. Sharma, “Some Recent Results in Modern 2-D Spectral Estimation”, Proc. of the IEEE Intl. Conf. on Syst., Man and Cybern., Bombay, India, Jan. 1984.
    7. Chellappa, “Recent Advances in 2-D Markov Random Field Models for Image Processing”, Proc. of the IEEE Intl. Conf. on Syst., Man, and Cybern., Delhi, India, Jan. 1984.

    1983

    1. L. Kashyap and R.Chellappa, “Filtering of Noisy Images Using Markov Random Field Models of Images,” Proceedings of the Nineteenth Allerton Conf. on Commn. Control and Computing, Univ. of Illinois, Urbana, Oct. 1981.
    2. Chellappa, “Time Series models for Multiresolution Image Processing”, Proc. of IEEE Computer Society Conf. on Computer Vision and Patt. Recog., Washington, D.C., pp.427-431, June 1983.
    3. F. Singer and R.Chellappa, “Classification of Boundaries on the Plane Using Stochastic Models”, Proc. of IEEE Computer Society Conf. on Computer Vision and Patt. Recognition, Washington D.C., pp.146-147, June 1983.
    4. Chellappa and G. Sharma, “Two-Dimensional Spectral Estimation Using Spatial Autoregressive Models,” Proc of Intl. Conf. on Acoust., Speech and Signal Proc. Boston, Massachusetts, pp. 855-858, April 1983.
    5. Sharma and R.Chellappa, “Adaptive Notch Filtering for the Retrieval of Two-Dimensional Harmonics”, Proc. of the Conf. on Information Sciences and Systems, Johns Hopkins University, March 1983.

    1982

    1. Chellappa, Y.H.Hu, and S.Y.Kung , “On Two-Dimensional Maximum Entropy Spectral Estimation”, Proc. of the IEEE Computer Society Conf. on Patt. Recog. and Image Proc., Las Vegas, pp. 72-76, June 1982.
    2. Chellappa and R. Bagdazian, “Optimal Fourier Coding of Image Boundaries”, Proc. of the IEEE Computer Society Conf. on Patt. Recog. and Image Proc., Las Vegas, pp. 172-175, June 1982.
    3. Chellappa and R.L. Kashyap, “Texture Synthesis Using Spatial Autoregressive Models”, Proc. of the IEEE Computer Society Conf. on Patt. Recog. and Image Proc., Las Vegas, pp. 226-230, June 1982.
    4. Chellappa and R.L. Kashyap, “Statistical Inference in Gaussian Markov Random Field Models”, Proc. of the IEEE Computer Society Conf. on Patt. Recog. and Image Proc., Las Vegas, pp. 77-80, June 1982.
    5. Chellappa and S.Y. Kung, “On Two-Dimensional Markov Spectral Estimation”, Proc. of the 1982 Conf. on Information Sciences and Systems, Princeton, March 1982.
    6. L. Kashyap and R.Chellappa, “Classification of Images Using Features Derived From Random Field Models”, Proceedings of IFAC Symposium on Theory and Application of Digital Control, New Delhi, India, 1982.

    1981

    1. Chellappa and R.L. Kashyap, “Synthetic Generation and Estimation in Random Field models of Images”, Proc. of IEEE Computer Society Conf. on Pattern Recognition and Image Processing, Dallas, pp.577-582, Texas, Aug. 1981.
    2. Chellappa and R.L. Kashyap, “On the Correlation Structure of Random Field Models of Images”, Proc. of IEEE Computer Society Conference on Pattern Recognition and Image Processing, Dallas, Texas, pp. 574-576, Aug. 1981.
    3. L. Kashyap and R. Chellappa, “Stochastic Models for the Analysis of Closed Boundaries, Part 1: Representation and Reconstruction”, Proc. of the Fifth Intl. Conf. on Pattern Recognition, Florida, Miami, pp.1354-1359, Dec. 1980.

    1980

    1. R.L. Kashyap and R. Chellappa “Image Restoration Using Random Field Models,” Proc. of the Eighteenth Allerton Conf. on Commn., Control and Computing, University of Illinois, Urbana, pp. 956-965, Oct. 1980.

2005

  1. Yue, W. Zhao and R. Chellappa, “ Pose-Encoded Spherical Harmonics for Robust Face Recognition Using a Single Image “, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (joint with ICCV), October, 2005.
  2. Gaurav Aggarwal, Soma Biswas and Rama Chellappa, “UMD Experiments with FRGC data”, In Proceedings of IEEE Workshop on Face Recognition Grand Challenge Experiments (held with CVPR 2005), San Diego, June, 2005.
  3. Ashok Veeraraghavan and Rama Chellappa, “Tracking Bees in a Hive”, Snowbird Learning Workshop, Snowbird, Utah, April, 2005.
  4. Li, and R. Chellappa, “A factorization approach for structure from planar motion”, IEEE Workshop on Motion and Video Computing, January, 2005.

2004

  1. J.B. Broadwater, R. Meth, and R. Chellappa, “Dimensionality Estimation in Hyper-spectral Imagery Using Minimum Description Length,” in Proc. of the Army Science Conference 2004 , Orlando, FL, November, 2004.