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Sagnik Majumder

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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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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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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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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