| 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 | 962 | 2018 |
| Learning spatiotemporal features using 3dcnn and convolutional lstm for gesture recognition L Zhang, G Zhu, P Shen, J Song, S Afaq Shah, M Bennamoun Proceedings of the IEEE international conference on computer vision …, 2017 | 286 | 2017 |
| Attention in convolutional LSTM for gesture recognition L Zhang, G Zhu, L Mei, P Shen, SAA Shah, M Bennamoun Advances in neural information processing systems 31, 2018 | 146 | 2018 |
| Automatic number plate Recognition: A detailed survey of relevant algorithms Lubna, N Mufti, SAA Shah Sensors 21 (9), 3028, 2021 | 142 | 2021 |
| Continuous gesture segmentation and recognition using 3DCNN and convolutional LSTM G Zhu, L Zhang, P Shen, J Song, SAA Shah, M Bennamoun IEEE Transactions on Multimedia 21 (4), 1011-1021, 2018 | 112 | 2018 |
| Iterative deep learning for image set based face and object recognition SAA Shah, M Bennamoun, F Boussaid Neurocomputing 174, 866-874, 2016 | 92 | 2016 |
| Analysis and variants of broad learning system L Zhang, J Li, G Lu, P Shen, M Bennamoun, SAA Shah, Q Miao, G Zhu, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (1), 334-344, 2020 | 83 | 2020 |
| Redundancy and attention in convolutional LSTM for gesture recognition G Zhu, L Zhang, L Yang, L Mei, SAA Shah, M Bennamoun, P Shen IEEE transactions on neural networks and learning systems 31 (4), 1323-1335, 2019 | 79 | 2019 |
| Block level skip connections across cascaded V-Net for multi-organ segmentation L Zhang, J Zhang, P Shen, G Zhu, P Li, X Lu, H Zhang, SA Shah, ... IEEE Transactions on Medical Imaging 39 (9), 2782-2793, 2020 | 71 | 2020 |
| Scene graph generation: A comprehensive survey G Zhu, L Zhang, Y Jiang, Y Dang, H Hou, P Shen, M Feng, X Zhao, ... arXiv preprint arXiv:2201.00443, 2022 | 69 | 2022 |
| Keypoints-based surface representation for 3D modeling and 3D object recognition SAA Shah, M Bennamouna, F Boussaid Pattern Recognition 64, 29-38, 2017 | 68 | 2017 |
| Structure-feature based graph self-adaptive pooling L Zhang, X Wang, H Li, G Zhu, P Shen, P Li, X Lu, SAA Shah, ... Proceedings of The Web Conference 2020, 3098-3104, 2020 | 66 | 2020 |
| Structure-Feature based Graph Self-adapting Pooling L Zhang, X Wang, H Li, G Zhu, P Shen, P Li, X Lu, SAA Shah, ... The Web Conference, WWW, 2020 | 66 | 2020 |
| Multi-modal co-learning for liver lesion segmentation on PET-CT images Z Xue, P Li, L Zhang, X Lu, G Zhu, P Shen, SAA Shah, M Bennamoun IEEE Transactions on Medical Imaging 40 (12), 3531-3542, 2021 | 58 | 2021 |
| Efficient Image Set Classification using Linear regression based Image reconstruction SAA Shah, U Nadeem, M Bennamoun, F Sohel, R Togneri ArXiv, 2017 | 55 | 2017 |
| A Systematic Collection of Medical Image Datasets for Deep Learning J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li, X Lu, J Song, P Shen, ... arXiv:2106.12864v1, 2021 | 48 | 2021 |
| U-net based analysis of MRI for Alzheimer’s disease diagnosis Z Fan, J Li, L Zhang, G Zhu, P Li, X Lu, P Shen, SAA Shah, M Bennamoun, ... Neural Computing and Applications 33, 13587-13599, 2021 | 46 | 2021 |
| Topology-learnable graph convolution for skeleton-based action recognition G Zhu, L Zhang, H Li, P Shen, SAA Shah, M Bennamoun Pattern Recognition Letters 135, 286-292, 2020 | 39 | 2020 |
| A novel feature representation for automatic 3D object recognition in cluttered scenes SAA Shah, M Bennamoun, F Boussaid Neurocomputing 205, 1-15, 2016 | 36 | 2016 |
| 2D and 3D face recognition using convolutional neural network H Hu, SAA Shah, M Bennamoun, M Molton TENCON 2017-2017 IEEE Region 10 Conference, 133-132, 2017 | 34 | 2017 |
Liang ZhangXidian University（西安电子科技大学教授）Verified email at xidian.edu.cn
