About Me

• PhD student at Stony Brook University, NY, USA advised by Michael Ryoo.
• Former Research Intern at Meta with Tsung-Yu Lin.
• Former Research Intern at Apple with Jonathon Shlens.
• Prior to PhD, Research Assistant at MBZUAI with Muzammal Naseer, Salman Khan, and Fahad Khan.
• Interested in Computer Vision and Machine Learning with focus on the subdomains of Self-Supervised Learning, Video Understanding, and Vision-Language Representations.
• Enjoy ballroom dancing, cooking, and theatre during my leisure time.

Have a look at my resume for more details.

Updates

• MVU paper is on now arxiv.
• Language Repository for Long Video Understanding on arxiv.
• Preprint for HLLS framework is now on arxiv.
• Our paper on Localization in Visual-LLMs accepted to CVPR ‘24!

Selected Publications

• May 2023: Language-based Video Self-Supervised Learning, NeurIPS 2023.
• November 2022: T2I Diffusion Models are Zero-Shot Segmentors, CVPR workshop 2023.
• October 2022: Perceptual Grouping in Contrastive VLMs, ICCV 2023.
• November 2021: Self-supervised Video Transformers, CVPR 2022 (oral).
• July 2021: Adversarial Transferability of Vision Transformers, ICLR 2022 (spotlight).
• May 2021: Intriguing Properties of Vision Transformers, NeurIPS 2021 (spotlight).
• March 2021: Orthogonal Projection Loss, ICCV 2021.
• January, 2021: Conditional Generative Modeling, ICLR 2021.
• September 2019: Activity Recognition in Videos, TCSVT journal.

Featured Work

• Our Diffusion Illusions work (CVPR ‘23 Best Demo) featured on Stony Brook News.