Sagnik Majumder

According to our database, Sagnik Majumder authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives.

Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.

CoRR, 2023

Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos.

Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

CoRR, 2023

Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

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

Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Yong Won Hong, Visvanathan Ramesh

J. Imaging, 2022

Retrospectives on the Embodied AI Workshop.

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

CoRR, 2022

Active Audio-Visual Separation of Dynamic Sound Sources.

Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

CoRR, 2022

Few-Shot Audio-Visual Learning of Environment Acoustics.

Sagnik Majumder, Changan Chen, Ziad Al-Halah, Kristen Grauman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Audio-Visual Separation of Dynamic Sound Sources.

Sagnik Majumder, Kristen Grauman

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning to Set Waypoints for Audio-Visual Navigation.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Move2Hear: Active Audio-Visual Source Separation.

Sagnik Majumder, Ziad Al-Halah, Kristen Grauman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Model Agnostic Answer Reranking System for Adversarial Question Answering.

Sagnik Majumder, Chinmoy Samant, Greg Durrett

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

2020

Audio-Visual Waypoints for Navigation.

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

CoRR, 2020

2019

Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques.

Rishabh Bhardwaj, Soumendu Sinha, Nishad Sahu, Sagnik Majumder, Pratik Narang, Ravindra Mukhiya

Int. J. Circuit Theory Appl., 2019

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

Martin Mundt, Sagnik Majumder, Iuliia Pliushch, Visvanathan Ramesh

CoRR, 2019

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

Martin Mundt, Iuliia Pliushch, Sagnik Majumder, Visvanathan Ramesh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset.

Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Handwritten Digit Recognition by Elastic Matching.

Sagnik Majumder, Christoph von der Malsburg, Aashish Richhariya, Surekha Bhanot

J. Comput., 2018

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures.

Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh

CoRR, 2018