Muhammad Uzair Khattak
Computer Vision graduate student, MBZUAI, Abu-Dhabi - BSc from SEECS, NUST, Pakistan.
Masdar City, Abu Dhabi
Hi, I am Muhammad Uzair, a Computer Vision Master research student, affiliated with IVAL lab at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). I am working under the supervision of Dr. Salman Khan and Dr. Fahad Khan. I am also grateful to be supervised and mentored by Dr. Muzammal Naseer.
My research focus is on adapting foundational multi-modal models for vision tasks including image recognition, object detection and video action recognition. The goal is to steer these foundational models for downstream tasks with limited data (few-/zero-shot) while maintaining their pre-trained generalization for novel tasks.
Email / Google Scholar / Github / Twitter / CV
News
Feb 22, 2024 | Invited talk on Multi-modal learning @ Amazon Prime Video. |
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Feb 5, 2024 | Invited talk on our recent ProText work at Cohere For AI. (Slides / Recording) |
Jan 5, 2024 | We have released ProText, a novel framework to adapt Vision-Language models with text-only data. More details on the project page ! |
Dec 16, 2023 | Invited talk on our recent PromptSRC work at Computer Vision Talks. |
Dec 15, 2023 | Invited talk at WADLA 2023 Deep Learning Workshop. (Recording) |
Nov 4, 2023 | Paper and Code for our NeurIPS’23 work PromptAlign are released! |
Sep 28, 2023 | Our ICCV’23 work PromptSRC has been selected as an oral paper at WECIA workshop, held in conjunction with ICCV’23! Congratulations to all co-authors! |
Sep 22, 2023 | Our work on test-time prompt learning for foundational models got accepted into NeurIPS’23! Congratulations to all co-authors! |
Selected publications
* denotes joint first authors
2024
2023
2022
- Investigating and Improving Common Loop Closure Failures in Visual SLAMAutonomous Robots, Oct 2022