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dibyadip (at) comp.nus.edu.sg
Office: AS6-04-11

I am a PhD Student in the School of Computing at the National University of Singapore. I am a part of CVML@NUS advised by Angela Yao and closely collaborating with Fadime Sener. My graduate research is supported by the President's Graduate Fellowship.

I completed my bachelor's in Electronics & Telecommunication Engineering (ECE) from Jadavpur University where I worked with Sanjoy Kumar Saha and Ananda S. Chowdhury. My bachelor's thesis was on Open-Set Metric Learning for Person Re-identification in the Wild.

Broadly, I am interested in understanding how humans learn to perceive the 4D (3D+time) world in a vastly data-efficient manner. To this end, my current research revolves around the intersection of semantic understanding (recognition, captioning) of long-range (>30s) videos and 3D understanding of human-object interactions with a particular focus on open-world generalization.

News

Publications & Preprints

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On the Utility of 3D Hand Poses for Action Recognition
Md Salman Shamil, Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
arXiv 2024 [New]
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Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
NeurIPS 2023
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Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov, Kun He, Dipika Singhania, Robert Wang, Angela Yao
CVPR 2022
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Technical Report: Temporal Aggregate Representations
Fadime Sener, Dibyadip Chatterjee, Angela Yao
arXiv 2021
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Open-set Metric Learning for Person Re-Identification in the Wild
Arindam Sikdar, Dibyadip Chatterjee, Arpan Bhowmik, Ananda S. Chowdhury
ICIP 2020
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Deep Learning Architectures for Modeling Communication Systems
Dibyadip Chatterjee, Harsh Jaiswal, Adarsh Honakamble, Konchady Gautam Shenoy
International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2019 [Oral]

Academic Service

  • Reviewer: CVPR, ICCV, ECCV, BMVC, ACCV, TPAMI
  • Teaching Assistant:
    • CS4243, Computer Vision and Pattern Recognition, Spring 2024
    • BT3017, Feature Engineering for Machine Learning, Spring 2024