By: Rama Chellappa

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"Can We Trust AI" book
Forthcoming book on Trustworthy AI
October 11, 2022

First look at a forthcoming book on Trustworthy AI by Rama Chellappa with Eric Niiler.

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Paper accepted at WACV 2023
October 11, 2022

Multi-View Action Recognition using Contrastive Learning: Ketul Shah, Anshul Shah, Chun Pong Lau, Celse de Melo, Rama Chellappa  

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FG 2023 logo
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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ECCV 2022 logo
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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Neural Information Processing Systems logo
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 poster
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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