| Maple: Multi-modal prompt learning MU Khattak, H Rasheed, M Maaz, S Khan, FS Khan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 1365 | 2023 |
| Self-regulating prompts: Foundational model adaptation without forgetting MU Khattak, ST Wasim, M Naseer, S Khan, MH Yang, FS Khan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 386 | 2023 |
| Fine-tuned clip models are efficient video learners H Rasheed*, MU Khattak*, M Maaz, S Khan, FS Khan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 290 | 2023 |
| Bridging the gap between object and image-level representations for open-vocabulary detection H Bangalath, M Maaz, MU Khattak, SH Khan, F Shahbaz Khan Advances in Neural Information Processing Systems 35, 33781-33794, 2022 | 219 | 2022 |
| Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization J Abdul Samadh, MH Gani, N Hussein, MU Khattak, MM Naseer, ... Advances in Neural Information Processing Systems 36, 2024 | 137 | 2024 |
| Learning to prompt with text only supervision for vision-language models MU Khattak, MF Naeem, M Naseer, L Van Gool, F Tombari Proceedings of the AAAI Conference on Artificial Intelligence 39 (4), 4230-4238, 2025 | 45 | 2025 |
| Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition ST Wasim, MU Khattak, M Naseer, S Khan, M Shah, FS Khan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 40 | 2023 |
| Unimed-clip: Towards a unified image-text pretraining paradigm for diverse medical imaging modalities MU Khattak, S Kunhimon, M Naseer, S Khan, FS Khan arXiv preprint arXiv:2412.10372, 2024 | 29 | 2024 |
| How Good is my Video-LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs MU Khattak, MF Naeem, J Hassan, M Naseer, F Tombari, FS Khan, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - WFM, 2025 | 21* | 2025 |
| System and method of bridging the gap between object and image-level representations for open-vocabulary detection HAR BANGALATH, M Muhammad, MU KHATTAK, S Khan, FS Khan US Patent 12,288,372, 2025 | 3 | 2025 |
| Promptception: How Sensitive Are Large Multimodal Models to Prompts? MI Ismithdeen, MU Khattak, S Khan arXiv preprint arXiv:2509.03986, 2025 | 1 | 2025 |
| Investigating and Improving Common Loop Closure Failures in Visual SLAM S Khaliq, ML Anjum, W Hussain, MU Khattak, M Rasool Autonomous Robots, 2022 | 1 | 2022 |
| Multi-modal prompt learning for representation transfer on image recognition tasks MU KHATTAK, HAR BANGALATH, S Khan, FS Khan US Patent 12,493,741, 2025 | | 2025 |
| System and method for modeling local and global spatio-temporal context in video for video recognition ST WASIM, MU KHATTAK, M NASEER, S Khan, FS Khan US Patent App. 18/411,928, 2025 | | 2025 |
| Method and system for adapting a vision-language machine learning model for image recognition tasks MU KHATTAK, ST WASIM, M NASEER, S Khan, FS Khan US Patent App. 18/541,666, 2025 | | 2025 |
| Transferability of Vision-Language models with Prompt Learning MU Khattak | | 2023 |
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
