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Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement
Priyank Pathak,
Yogesh S. Rawat,
ICCV, 2025
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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’).
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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
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Video person re-id: Fantastic techniques and where to find them (student abstract)
Priyank Pathak,
Amir Erfan Eshratifar,
Michael Gormish,
AAAI, 2020
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Code
One of the first works to solve Person Reid exploring multiple techniques to improve accuracy on video ReID model.
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