Research Projects
Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement
Priyank Pathak, Yogesh S. Rawat,
ICCV, 2025
Paper / Code / Project Page

We propose a lightweight, annotation-free proxy for mitigating appearance bias in ReID models, when clothing annotations arent avaialble. We propose Colors See, Colors Ignore (CSCI), a RGB-only method that leverages color information directly from raw images or video frames. CSCI efficiently captures colorrelated appearance bias (‘Color See’) while disentangling it from identity-relevant ReID features (‘Color Ignore’).

Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID
Priyank Pathak, Yogesh S. Rawat,
BMVC, 2025
Paper / Code / Video

We introduce Robustness against Low-Quality (RLQ) in clothes changing real world ReID to make model robust against low-quality artifacts like pixelation, out-of-focus blur, and motion blur

Video person re-id: Fantastic techniques and where to find them (student abstract)
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish,
AAAI, 2020
Paper / Code

One of the first works to solve Person Reid exploring multiple techniques to improve accuracy on video ReID model.


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