| Crowd counting and density estimation by trellis encoder-decoder networks X Jiang, Z Xiao, B Zhang, X Zhen, X Cao, D Doermann, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 422 | 2019 |
| Deep 3D human pose estimation: A review J Wang, S Tan, X Zhen, S Xu, F Zheng, Z He, L Shao Computer Vision and Image Understanding 210, 103225, 2021 | 329 | 2021 |
| Identification of conversion from mild cognitive impairment to Alzheimer’s disease using multivariate predictors Y Cui, B Liu, S Luo, X Zhen, M Fan, T Liu, W Zhu, M Park, T Jiang, JS Jin PLoS One 6 (7), e21896, 2011 | 303 | 2011 |
| Spatio-temporal Laplacian pyramid coding for action recognition L Shao, X Zhen, D Tao, X Li IEEE Transactions on Cybernetics 44 (6), 817-827, 2013 | 256 | 2013 |
| Few-Shot Semantic Segmentation with Democratic Attention Networks H Wang, X Zhang, Y. Hu, Y Yang, X Cao, X Zhen. European Conference on Computer Vision (ECCV), 2020, 2020 | 237 | 2020 |
| 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 (TNNLS), 2021, 2021 | 232 | 2021 |
| Relational attention network for crowd counting A Zhang, J Shen, Z Xiao, F Zhu, X Zhen, X Cao, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 205 | 2019 |
| Implicit diffusion models for continuous super-resolution S Gao, X Liu, B Zeng, S Xu, Y Li, X Luo, J Liu, X Zhen, B Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 195 | 2023 |
| Learning to learn with variational information bottleneck for domain generalization Y Du, J Xu, H Xiong, Q Qiu, X Zhen, CGM Snoek, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 168 | 2020 |
| Multi-target regression via robust low-rank learning X Zhen, M Yu, X He, S Li IEEE transactions on pattern analysis and machine intelligence 40 (2), 497-504, 2017 | 149 | 2017 |
| Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li Medical image analysis 30, 120-129, 2016 | 146 | 2016 |
| Attentional neural fields for crowd counting A Zhang, L Yue, J Shen, F Zhu, X Zhen, X Cao, L Shao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 139 | 2019 |
| Learning object-to-class kernels for scene classification L Zhang, X Zhen, L Shao IEEE Transactions on image processing 23 (8), 3241-3253, 2014 | 139 | 2014 |
| Direct Shape Regression Networks for End-to-End Face Alignment X Miao, X Zhen, X Liu, C Deng, V Athitsos, H Huang IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 136 | 2018 |
| Learning discriminative key poses for action recognition L Liu, L Shao, X Zhen, X Li IEEE transactions on cybernetics 43 (6), 1860-1870, 2013 | 114 | 2013 |
| Conditional variational image deraining Y Du, J Xu, X Zhen, MM Cheng, L Shao IEEE Transactions on Image Processing 29, 6288-6301, 2020 | 92 | 2020 |
| Multi-stream convolutional neural network for SAR automatic target recognition P Zhao, K Liu, H Zou, X Zhen Remote Sensing 10 (9), 1473, 2018 | 87 | 2018 |
| Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression H Sun, X Zhen, Y Yin, S Li Information Processing In Medical Imaging (IPMI), 2017 | 87 | 2017 |
| Direct estimation of cardiac bi-ventricular volumes with regression forests X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 86 | 2014 |
| MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Y Du, X Zhen, L Shao, CGM Snoek International Conference on Learning Representations (ICLR), 2021, 2021 | 75 | 2021 |
Ling Shao, Fellow of IEEE/IAPRGeneral Terminus Technologies; Founder/Initiator of IIAI/MBZUAI在 inceptioniai.org 的电子邮件经过验证
