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Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations


Jan 04, 2023
Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu

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Retrospectives on the Embodied AI Workshop


Oct 17, 2022
Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

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Few-Shot Audio-Visual Learning of Environment Acoustics


Jun 08, 2022
Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman

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Active Audio-Visual Separation of Dynamic Sound Sources


Feb 02, 2022
Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

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Move2Hear: Active Audio-Visual Source Separation


May 15, 2021
Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

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Model Agnostic Answer Reranking System for Adversarial Question Answering


Feb 05, 2021
Sagnik Majumder, Chinmoy Samant, Greg Durrett

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* EACL 2021 Student Research Workshop Camera Ready 

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Audio-Visual Waypoints for Navigation


Aug 21, 2020
Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman

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Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?


Aug 26, 2019
Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh

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* Accepted at the first workshop on Statistical Deep Learning for Computer Vision (SDL-CV) at ICCV 2019 

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Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition


May 28, 2019
Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh

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Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset


Apr 02, 2019
Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh

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* Accepted for publication at CVPR 2019. Version includes supplementary material 

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