Nyle Siddiqui

I'm a 3rd-year Ph.D student at the Center for Research in Computer Vision at the University of Central Florida advised by Dr. Mubarak Shah.

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Research

My research broadly spans the field of computer vision, with specific interests including generative AI, diffusion models, action recognition, person recognition, and representation learning. You can check out my selected papers below, with important papers highlighted.

We propose a novel transformer decoder-based architecture in tandem with two supervised contrastive losses for multi-view action recognition. By disentangling the view-relevant features from action-relevant features, we enable our model to learn action features that are robust to change in viewpoints. We show that changes in viewpoint impart perturbations on learned action features, and thus, disentangling these perturbations improves overall action recognition performance.

Currenly under review. We use diffusion to improve clothes-changing person re-identification.