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

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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