| 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 | 1366 | 2023 |
| Video-chatgpt: Towards detailed video understanding via large vision and language models M Maaz, H Rasheed, S Khan, FS Khan Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1300 | 2024 |
| UNETR++: delving into efficient and accurate 3D medical image segmentation A Shaker, M Maaz, H Rasheed, S Khan, MH Yang, FS Khan IEEE Transactions on Medical Imaging 43 (9), 3377-3390, 2024 | 450 | 2024 |
| Edgenext: efficiently amalgamated cnn-transformer architecture for mobile vision applications M Maaz, A Shaker, H Cholakkal, S Khan, SW Zamir, RM Anwer, ... European conference on computer vision, 3-20, 2022 | 435 | 2022 |
| Glamm: Pixel grounding large multimodal model H Rasheed, M Maaz, S Shaji, A Shaker, S Khan, H Cholakkal, RM Anwer, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 424 | 2024 |
| 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 |
| Swiftformer: Efficient additive attention for transformer-based real-time mobile vision applications A Shaker, M Maaz, H Rasheed, S Khan, MH Yang, FS Khan Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 286 | 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 |
| Class-agnostic object detection with multi-modal transformer M Maaz, H Rasheed, S Khan, FS Khan, RM Anwer, MH Yang European conference on computer vision, 512-531, 2022 | 162* | 2022 |
| Videogpt+: Integrating image and video encoders for enhanced video understanding M Maaz, H Rasheed, S Khan, F Khan arXiv preprint arXiv:2406.09418, 2024 | 96 | 2024 |
| Pg-video-llava: Pixel grounding large video-language models S Munasinghe, R Thushara, M Maaz, HA Rasheed, S Khan, M Shah, ... arXiv preprint arXiv:2311.13435, 2023 | 52 | 2023 |
| Perceptionlm: Open-access data and models for detailed visual understanding JH Cho, A Madotto, E Mavroudi, T Afouras, T Nagarajan, M Maaz, Y Song, ... Advances in Neural Information Processing Systems (NeurIPS Spotlight), 2025 | 33 | 2025 |
| Palo: A polyglot large multimodal model for 5b people H Rasheed, M Maaz, A Shaker, S Khan, H Cholakal, RM Anwer, ... 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025 | 31* | 2025 |
| Videomathqa: Benchmarking mathematical reasoning via multimodal understanding in videos H Rasheed, A Shaker, A Tang, M Maaz, MH Yang, S Khan, FS Khan arXiv preprint arXiv:2506.05349, 2025 | 5 | 2025 |
| Self-supervised learning for fine-grained visual categorization M Maaz, HA Rasheed, D Gaddam arXiv preprint arXiv:2105.08788, 2021 | 3 | 2021 |
| A culturally-diverse multilingual multimodal video benchmark & model BS Shafique, A Vayani, M Maaz, HA Rasheed, D Dissanayake, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 2 | 2025 |
| Mobile-VideoGPT: Fast and Accurate Video Understanding Language Model A Shaker, M Maaz, C Gou, H Rezatofighi, S Khan, FS Khan arXiv preprint arXiv:2503.21782, 2025 | 1 | 2025 |
| Video-CoM: Interactive Video Reasoning via Chain of Manipulations H Rasheed, M Zumri, M Maaz, MH Yang, FS Khan, S Khan arXiv preprint arXiv:2511.23477, 2025 | | 2025 |
| Video-R2: Reinforcing Consistent and Grounded Reasoning in Multimodal Language Models M Maaz, H Rasheed, FS Khan, S Khan arXiv preprint arXiv:2511.23478, 2025 | | 2025 |
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
