Profile Image
dibyadip (at) comp.nus.edu.sg

I am a second-year 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 and emulating how humans perceive the 4D (3D+time) world. To this end, my current research revolves around the intersection of semantic understanding (recognition, anticipation, Q&A) of long-range (>30s) videos and 3D understanding of human-object interactions with a particular focus on open-world generalization.

News

Publications & Preprints

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 (New)
N/A
Opening the Vocabulary of Egocentric Actions
Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao
NeurIPS 2023
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
N/A
Technical Report: Temporal Aggregate Representations
Fadime Sener, Dibyadip Chatterjee, Angela Yao
arXiv 2021
N/A
Open-set Metric Learning for Person Re-Identification in the Wild
Arindam Sikdar, Dibyadip Chatterjee, Arpan Bhowmik, Ananda S. Chowdhury
ICIP 2020
N/A
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