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ORCIDSagnik Majumder
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2020 – today
- 2023
[i12]Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu:
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations. CoRR abs/2301.02184 (2023)- 2022
- [j3]Martin Mundt
, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh:
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. J. Imaging 8(4): 93 (2022) - [c6]Sagnik Majumder, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. ECCV (39) 2022: 551-569 - [i11]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Active Audio-Visual Separation of Dynamic Sound Sources. CoRR abs/2202.00850 (2022) - [i10]Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman:
Few-Shot Audio-Visual Learning of Environment Acoustics. CoRR abs/2206.04006 (2022) - [i9]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 G. 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:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - 2021
- [c5]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. EACL (Student Research Workshop) 2021: 50-57 - [c4]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Move2Hear: Active Audio-Visual Source Separation. ICCV 2021: 275-285 - [c3]Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Learning to Set Waypoints for Audio-Visual Navigation. ICLR 2021 - [i8]Sagnik Majumder, Chinmoy Samant, Greg Durrett:
Model Agnostic Answer Reranking System for Adversarial Question Answering. CoRR abs/2102.03016 (2021) - [i7]Sagnik Majumder, Ziad Al-Halah, Kristen Grauman:
Move2Hear: Active Audio-Visual Source Separation. CoRR abs/2105.07142 (2021) - 2020
- [i6]Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman:
Audio-Visual Waypoints for Navigation. CoRR abs/2008.09622 (2020)
2010 – 2019
- 2019
- [j2]Rishabh Bhardwaj, Soumendu Sinha, Nishad Sahu, Sagnik Majumder, Pratik Narang, Ravindra Mukhiya:
Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques. Int. J. Circuit Theory Appl. 47(6): 954-970 (2019) - [c2]Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh:
Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset. CVPR 2019: 11196-11205 - [c1]Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? ICCV Workshops 2019: 753-757 - [i5]Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh:
Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset. CoRR abs/1904.08486 (2019) - [i4]Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh:
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition. CoRR abs/1905.12019 (2019) - [i3]Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh:
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? CoRR abs/1908.09625 (2019) - 2018
- [j1]Sagnik Majumder, Christoph von der Malsburg, Aashish Richhariya, Surekha Bhanot:
Handwritten Digit Recognition by Elastic Matching. J. Comput. 13(9): 1067-1074 (2018) - [i2]Sagnik Majumder, Christoph von der Malsburg, Aashish Richhariya, Surekha Bhanot:
Handwritten Digit Recognition by Elastic Matching. CoRR abs/1807.09324 (2018) - [i1]Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh:
Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures. CoRR abs/1812.05836 (2018)
Coauthor Index
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