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 | 2196 | 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 | 1670 | 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 | 1430 | 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 | 1029 | 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 | 906 | 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 | 628 | 2020 |
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 | 560 | 2021 |
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 | 489 | 2023 |
Towards Open World Object Detection KJ Joseph, S Khan, FS Khan, VN Balasubramanian Accepted in IEEE/CVF CVPR 2021, 2021 | 445 | 2021 |
A deep journey into super-resolution: A survey S Anwar, S Khan, N Barnes ACM Computing Surveys (CSUR) 53 (3), 1-34, 2020 | 414 | 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 | 344 | 2020 |
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 | 342 | 2023 |
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 | 309 | 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 | 262 | 2015 |
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 | 250 | 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 | 236* | 2019 |
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 | 227 | 2023 |
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 | 211 | 2017 |
Striking the right balance with uncertainty S Khan, M Hayat, SW Zamir, J Shen, L Shao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 206 | 2019 |
A unified approach for conventional zero-shot, generalized zero-shot, and few-shot learning S Rahman, S Khan, F Porikli IEEE Transactions on Image Processing 27 (11), 5652-5667, 2018 | 189 | 2018 |