| Enhanced computer vision with microsoft kinect sensor: A review J Han, L Shao, D Xu, J Shotton IEEE transactions on cybernetics 43 (5), 1318-1334, 2013 | 1813 | 2013 |
| Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review Q Zhang, Y Liu, RS Blum, J Han, D Tao Information Fusion 40, 57-75, 2018 | 272 | 2018 |
| Gabor convolutional networks S Luan, C Chen, B Zhang, J Han, J Liu IEEE Transactions on Image Processing 27 (9), 4357-4366, 2018 | 260 | 2018 |
| Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks X Ding, Y Guo, G Ding, J Han Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 205 | 2019 |
| Cosaliency detection based on intrasaliency prior transfer and deep intersaliency mining D Zhang, J Han, J Han, L Shao IEEE transactions on neural networks and learning systems 27 (6), 1163-1176, 2015 | 161 | 2015 |
| Automatic video-based human motion analyzer for consumer surveillance system W Lao, J Han IEEE Transactions on Consumer Electronics 55 (2), 591-598, 2009 | 160 | 2009 |
| Repvgg: Making vgg-style convnets great again X Ding, X Zhang, N Ma, J Han, G Ding, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 157 | 2021 |
| Cross-view retrieval via probability-based semantics-preserving hashing Z Lin, G Ding, J Han, J Wang IEEE transactions on cybernetics 47 (12), 4342-4355, 2016 | 141 | 2016 |
| RGB-D datasets using microsoft kinect or similar sensors: a survey Z Cai, J Han, L Liu, L Shao Multimedia Tools and Applications 76 (3), 4313-4355, 2017 | 139 | 2017 |
| Action recognition using 3D histograms of texture and a multi-class boosting classifier B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao IEEE Transactions on Image processing 26 (10), 4648-4660, 2017 | 136 | 2017 |
| From zero-shot learning to conventional supervised classification: Unseen visual data synthesis Y Long, L Liu, L Shao, F Shen, G Ding, J Han Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 136 | 2017 |
| Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment J Han, EJ Pauwels, PM de Zeeuw, PHN de With IEEE Transactions on Consumer Electronics 58 (2), 255-263, 2012 | 120 | 2012 |
| Centripetal sgd for pruning very deep convolutional networks with complicated structure X Ding, G Ding, Y Guo, J Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 115 | 2019 |
| Video-based fall detection in the home using principal component analysis L Hazelhoff, J Han International Conference on Advanced Concepts for Intelligent Vision Systems …, 2008 | 111 | 2008 |
| Zero-shot learning with transferred samples Y Guo, G Ding, J Han, Y Gao IEEE Transactions on Image Processing 26 (7), 3277-3290, 2017 | 102 | 2017 |
| Memory attention networks for skeleton-based action recognition C Li, C Xie, B Zhang, J Han, X Zhen, J Chen IEEE Transactions on Neural Networks and Learning Systems, 2021 | 99 | 2021 |
| Unsupervised deep video hashing via balanced code for large-scale video retrieval G Wu, J Han, Y Guo, L Liu, G Ding, Q Ni, L Shao IEEE Transactions on Image Processing 28 (4), 1993-2007, 2018 | 99 | 2018 |
| Automatic modulation classification based on deep learning for unmanned aerial vehicles D Zhang, W Ding, B Zhang, C Xie, H Li, C Liu, J Han Sensors 18 (3), 924, 2018 | 95 | 2018 |
| Learning to hash with optimized anchor embedding for scalable retrieval Y Guo, G Ding, L Liu, J Han, L Shao IEEE Transactions on Image Processing 26 (3), 1344-1354, 2017 | 92 | 2017 |
| Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval H Chen, G Ding, X Liu, Z Lin, J Liu, J Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 89 | 2020 |
