Paper 'Localizing Knowledge in DiTs and MAGNET' accepted at NeurIPS 2025.
Papers 'AVTrustBench, Aurelia and EgoAdapt' accepted at ICCV 2025.
Recognized as an outstanding reviewer at CVPR 2025.
Papers 'SafaRi and Meerkat' accepted at ECCV 2024.
EgoVLPv2 awarded as an EgoVis 2022/2023 Distinguished Paper.
Papers 'VistaLLM and MelFusion' selected as Highlights (Top 2.8% of submitted papers) and accepted at CVPR 2024.
Paper 'ApoLLo' accepted at EMNLP 2023.
Paper 'VoLTA' accepted at TMLR 2023.
Paper 'EgoVLPv2' accepted at ICCV 2023.
Paper 'BeAts' accepted at Interspeech 2023 as an Oral presentation.
Paper 'DeCAtt' accepted at CVPRw 2023 as an Oral presentation.
Paper 'IDEAL' accepted at ICASSP 2023.
Paper on 'SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function' accepted at WACV 2023.
Paper on 'Deciphering Environmental Air Pollution with Large Scale City Data' accepted at IJCAI 2022 as an Oral Presentation.
Abstract on 'Fast and scalable estimation of effective connectivity using Neural Network aided P-DCM' accepted at OHBM 2022.
Paper on 'Graph Self Supervised Learning: the BT, the HSIC, and the VICReg' presented at IJCAI Weakly Supervised Representation Learning Workshop 2021.
Paper on 'CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction' presented at MICCAI 2020.
Research Experience
Worked as a research intern at Adobe Research.
Education
PhD from University of Toronto; Bachelor's degree in Electrical Engineering from Jadavpur University, India.
Background
Currently a Research Scientist at Adobe Research. Research interests include Computer Vision, Self-supervised Learning, Multimodal Learning, Time-series Modeling, and Natural Language Understanding.