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 | 832 | 2022 |
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 | 819 | 2017 |
A guide to convolutional neural networks for computer vision S Khan, H Rahmani, SAA Shah, M Bennamoun Synthesis lectures on computer vision 8 (1), 1-207, 2018 | 634 | 2018 |
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 | 567 | 2021 |
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 | 311 | 2022 |
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 | 291 | 2020 |
Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 271 | 2019 |
A deep journey into super-resolution: A survey S Anwar, S Khan, N Barnes ACM Computing Surveys (CSUR) 53 (3), 1-34, 2020 | 267 | 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 | 245 | 2021 |
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 | 239 | 2015 |
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 | 195 | 2020 |
Towards Open World Object Detection KJ Joseph, S Khan, FS Khan, VN Balasubramanian Accepted in IEEE/CVF CVPR 2021, 2021 | 182 | 2021 |
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 | 159 | 2019 |
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 | 154 | 2017 |
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 | 150 | 2018 |
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 | 149 | 2019 |
Random path selection for incremental learning J Rajasegaran, M Hayat, S Khan, FS Khan, L Shao Advances in Neural Information Processing Systems, 2019, 2019 | 142* | 2019 |
Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts S Rahman, S Khan, F Porikli Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 137 | 2019 |
Automatic Feature Learning for Robust Shadow Detection SH Khan, M Bennamoun, F Sohel, R Togneri IEEE 27th International Conference on Computer Vision and Pattern …, 2014 | 127 | 2014 |
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 | 121 | 2020 |