Dripta Raychaudhuri

I am an applied scientist at AWS AI where I work on computer vision and machine learning. I completed my PhD from UC Riverside in 2023, where I was advised by Amit K. Roy-Chowdhury. During PhD, I was very fortunate to have interned at Mitsubishi Electric Research Laboratories , NEC Labs, and AWS AI.

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Updates

  Sep 2024: Paper accepted at ECCV 2024

  Oct 2023: Paper accepted at IEEE TPAMI

  Oct 2023: Two papers accepted at WACV 2024

  July 2023: Joined AWS AI as an applied scientist!

  July 2023: Two papers accepted at ICCV 2023!

  June 2023: Defended my thesis!

Research

My research is centered around developing algorithms to make machine learning models adaptable to a variety of distributional shifts, encompassing scenarios such as camera viewpoint changes, morphological changes of embodied agents and dynamic computational resource variations, with as minimal supervision as possible.

Open-World Dynamic Prompt and Continual Visual Representation Learning
Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing and Onkar Dabeer
European Conference on Computer Vision, 2024
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition
Sayak Nag, Dripta S. Raychaudhuri, Sujoy Paul and Amit K. Roy-Chowdhury
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Prior-guided Source-free Domain Adaptation for Human Pose Estimation
Dripta S. Raychaudhuri, Calvin-Khang Ta, Arindam Dutta, Rohit Lal and Amit K. Roy-Chowdhury
IEEE/CVF International Conference on Computer Vision, 2023
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets
Cody Simons, Dripta S. Raychaudhuri, Sk Miraj Ahmed, Suya You, Konstantinos Karydis and Amit K. Roy-Chowdhury
IEEE/CVF International Conference on Computer Vision, 2023
Controllable Dynamic Multi-task Architectures
Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Farouki, Amit K. Roy-Chowdhury and Manmohan Chandraker
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 (Oral)
Cross-domain Imitation from Observations
Dripta S. Raychaudhuri*, Sujoy Paul*, Jeroen van Baar and Amit K. Roy-Chowdhury
(* equal contribution)
International Conference on Machine Learning, 2021 (Long)
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk Miraj Ahmed*, Dripta S. Raychaudhuri*, Sujoy Paul*, Samet Oymak and Amit K. Roy-Chowdhury
(* equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021 (Oral)
Learning Person Re-identification Models from Videos with Weak Supervision
Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri, Min Liu, Yaonan Wang and Amit K. Roy-Chowdhury
IEEE Transactions on Image Processing, 2021
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri and Amit K. Roy-Chowdhury
European Conference on Computer Vision, 2020
Channel masking for multivariate time series shapelets
Dripta S. Raychaudhuri, Josif Grabocka and Lars Schmidt-Thieme
arXiv, 2017

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