Profile Image
dibyadip (at) u.nus.edu

I am a third-year PhD candidate in the School of Computing at the National University of Singapore. I study streaming perception for embodied and interactive agents. I am a part of CVML@NUS advised by Angela Yao. My graduate research is supported by the President's Graduate Fellowship.

In the summer of 2024, I interned at Meta Reality Labs, hosted by Fadime Sener. Previously, I completed my bachelor's in ECE from Jadavpur University where I worked with Sanjoy Kumar Saha and Ananda S. Chowdhury.

News

Publications & Preprints
Don't Pause! Every prediction matters in a streaming video
Dibyadip Chatterjee, Zhanzhong Pang, Fadime Sener, Yale Song, Angela Yao
arXiv 2026 (New)
Paper   Page   Code
N/A
On Discriminative vs. Generative classifiers: Rethinking MLLMs for Action Understanding
Zhanzhong Pang, Dibyadip Chatterjee, Fadime Sener, Angela Yao
ICLR 2026
Paper   Code
N/A
Streaming VideoLLMs for Real-Time Procedural Video Understanding
Dibyadip Chatterjee, Edoardo Remelli, Yale Song, Bugra Tekin, Abhay Mittal, Bharat Bhatnagar, Necati Cihan Camgöz, Shreyas Hampali, Eric Sauser, Shugao Ma, Angela Yao, Fadime Sener
ICCV 2025
Paper   Page
N/A
On the Utility of 3D Hand Poses for Action Recognition
Md Salman Shamil, Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
ECCV 2024
Paper   Page
N/A
Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
NeurIPS 2023
Paper   Page
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     EgoVis 2022/2023 Distinguished Paper Winner
Paper   Page   Video
N/A
Technical Report: Temporal Aggregate Representations
Fadime Sener, Dibyadip Chatterjee, Angela Yao
arXiv 2021
Paper   Code
N/A
Open-set Metric Learning for Person Re-Identification in the Wild
Arindam Sikdar, Dibyadip Chatterjee, Arpan Bhowmik, Ananda S. Chowdhury
ICIP 2020
Paper

Academic Service

  • Reviewer: CVPR, ICCV, ECCV, BMVC, ACCV, AAAI, TPAMI, IJCV, TMLR
  • Teaching Assistant:
        CS4243 (Computer Vision and Pattern Recognition), 2024 & 2026
        BT3017 (Feature Engineering for Machine Learning), 2024
        IS2109 (AI and Machine Learning Techniques), 2026