| Transformers in vision: A survey S Khan, M Naseer, M Hayat, SW Zamir, FS Khan, M Shah ACM computing surveys (CSUR) 54 (10s), 1-41, 2022 | 3039 | 2022 |
| Restormer: Efficient transformer for high-resolution image restoration SW Zamir, A Arora, S Khan, M Hayat, FS Khan, MH Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 2798 | 2022 |
| Multi-stage progressive image restoration SW Zamir, A Arora, S Khan, M Hayat, FS Khan, MH Yang, L Shao Accepted in IEEE/CVF CVPR 2021, 2021 | 1936 | 2021 |
| Cost-sensitive learning of deep feature representations from imbalanced data SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017 | 1169 | 2017 |
| A guide to convolutional neural networks for computer vision S Khan, H Rahmani, SAA Shah, M Bennamoun, G Medioni, S Dickinson Morgan & Claypool Publishers 8 (1), 1-207, 2018 | 1003 | 2018 |
| Learning enriched features for real image restoration and enhancement SW Zamir, A Arora, S Khan, M Hayat, FS Khan, MH Yang, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 886 | 2020 |
| Transformers in medical imaging: A survey F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu Medical image analysis 88, 102802, 2023 | 805 | 2023 |
| 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 | 751 | 2023 |
| Intriguing properties of vision transformers MM Naseer, K Ranasinghe, SH Khan, M Hayat, F Shahbaz Khan, ... Advances in Neural Information Processing Systems 34, 23296-23308, 2021 | 705 | 2021 |
| Video-chatgpt: Towards detailed video understanding via large vision and language models M Maaz, H Rasheed, S Khan, FS Khan arXiv preprint arXiv:2306.05424, 2023 | 634 | 2023 |
| Towards Open World Object Detection KJ Joseph, S Khan, FS Khan, VN Balasubramanian Accepted in IEEE/CVF CVPR 2021, 2021 | 603 | 2021 |
| A deep journey into super-resolution: A survey S Anwar, S Khan, N Barnes ACM computing surveys (CSUR) 53 (3), 1-34, 2020 | 506 | 2020 |
| Cycleisp: Real image restoration via improved data synthesis SW Zamir, A Arora, S Khan, M Hayat, FS Khan, MH Yang, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 430 | 2020 |
| isaid: A large-scale dataset for instance segmentation in aerial images S Waqas Zamir, A Arora, A Gupta, S Khan, G Sun, F Shahbaz Khan, F Zhu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 406 | 2019 |
| Learning enriched features for fast image restoration and enhancement SW Zamir, A Arora, S Khan, M Hayat, FS Khan, MH Yang, L Shao IEEE transactions on pattern analysis and machine intelligence 45 (2), 1934-1948, 2022 | 339 | 2022 |
| A self-supervised approach for adversarial robustness M Naseer, S Khan, M Hayat, FS Khan, F Porikli Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 317 | 2020 |
| Random path selection for incremental learning J Rajasegaran, M Hayat, S Khan, FS Khan, L Shao Advances in Neural Information Processing Systems, 2019, 2019 | 294* | 2019 |
| Automatic shadow detection and removal from a single image SH Khan, M Bennamoun, F Sohel, R Togneri IEEE transactions on pattern analysis and machine intelligence 38 (3), 431-446, 2015 | 287 | 2015 |
| 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 | 270 | 2022 |
| Forest change detection in incomplete satellite images with deep neural networks SH Khan, X He, F Porikli, M Bennamoun IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5407-5423, 2017 | 250 | 2017 |
Fahad Shahbaz KhanMBZUAI, Linköping University Sweden在 cvc.uab.es 的电子邮件经过验证