By: Rama Chellappa

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Rama Chellappa’s interview on Singularity Radio
November 29, 2022

Rama Chellappa’s interview on Singularity Radio was just released. https://anchor.fm/singularity-radio/episodes/FBL81-Rama-Chellappa—Can-We-Trust-AI-e1rct8i

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Paper accepted at AAAI 2023
November 29, 2022

PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images: Cheng Peng & Rama Chellappa

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Book “Can We Trust AI?” has been published
November 15, 2022

Book on trustworthy AI titled “Can We Trust AI?” by Rama Chellappa with Eric Niiler has been published (Nov. 15, 2022)…

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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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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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