Scholar
Priyank Pathak
Google Scholar ID: wnVyeJ0AAAAJ
PhD UCF, Past: Stony Brook, NYU, Amobee, Clarifai, IIT Kanpur
Citations & Impact
Citations
54
H-index
3
i10-index
1
Publications
7
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- - Paper: 'LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models', ICLR 2025, ICCV (Non-Proceedings) 2025
- - Paper: 'Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement', ICCV 2025
- - Paper: 'Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID', BMVC 2025
- - Paper: 'Video person re-id: Fantastic techniques and where to find them (student abstract)', AAAI 2020
- - Other papers under review
Research Experience
- - Ph.D. Student at CRCV, UCF
- - Extensive experience in Person Re-Identification (ReID) centered on real-world CCTV cameras during NYU period
Education
- - Ph.D.: Computer Vision, University of Central Florida (UCF), Advisor: Prof. Yogesh S. Rawat, Expected Graduation: August 2026
- - M.S.: Computer Science, New York University (NYU) Courant Institute, Thesis Advisor: Prof. Rob Fergus
- - B.Tech: Dual Degree in Electrical Engineering and Computer Science, Indian Institute of Technology (IIT) Kanpur
Background
- Research interests include Low-Resolution Recognition, Person Re-Identification (ReID), and Robustness in Deep Learning. Focuses on developing efficient training techniques for computer vision models, with a particular emphasis on understanding the adverse effect of noise and enhancing the robustness of deep learning architectures in real-world scenarios.
Miscellany
- Email: priyank@ucf.edu / pp1953@nyu.edu
