By: Rama Chellappa

Paper accepted at FG 2023
October 11, 2022

Multi-Modal Human Authentication Using Silhouettes, Gait and RGB: Yuxiang Guo* , Cheng Peng*, Chun Pong Lau, Rama Chellappa

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Paper to be presented at ECCV 2022
October 8, 2022

Where in the World is this Image? Transformer-based Geo-localization in the Wild : Shraman Pramanick, Ewa M. Nowara, Joshua Gleason, Carlos…

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Two papers accepted at NeurIPS 2022
September 14, 2022

Two papers from AIEM accepted for publication at NeurIPS 2022 A. Roy, A. Shah, K. Shah, P.  Dhar, A. Cherian, and R….

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Paper accepted at MICCAI 2022 for Oral Presentation
August 19, 2022

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling (MICCAI 2022, Oral): Cheng Peng, Pengfei Guo, S. Kevin Zhou,…

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Prof. Rama Chellappa
Chellappa participates in a panel discussion on AI: Opportunities and Challenges
July 28, 2022

Chellappa participates in a panel discussion on AI: Opportunities and Challenges as part of Hopkins’ Congressional Briefing Series. https://hub.jhu.edu/johns-hopkins-congressional-briefing-series/ Questions Received

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Prithviraj Dhar successfully defends Dissertation
June 5, 2022

Prithviraj Dhar has graduated and will be joining Meta as a Research Scientist. Congratulations to Prithviraj!

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Artificial Intelligence: Reality and Imagination
May 5, 2022

Rama Chellappa presents the current state of AI and the future.  Also features a discussion with Gary Whitta! https://hopkinsathome.vhx.tv/videos/ai-realityvsimagination

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Three papers accepted for CVPR 2022
March 6, 2022

Three papers accepted for CVPR 2022 EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images: Prithviraj…

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Paper accepted at AAAI 2022
December 5, 2021

A paper is accepted at AAAI 2022: Max Margin Contrastive Learning: Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian

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Paper presented at MICCAI 2021
November 5, 2021

A paper was presented at MICCAI 2021: DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images: Cheng Peng, S. Kevin Zhou, Rama Chellappa

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