| An interpretable mortality prediction model for COVID-19 patients L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... Nature machine intelligence 2 (5), 283-288, 2020 | 1125 | 2020 |
| Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity H Zhang, H Xu, Y Xiao, X Guo, J Ma Proceedings of the AAAI conference on artificial intelligence 34 (07), 12797 …, 2020 | 678 | 2020 |
| TasselNet: Counting maize tassels in the wild via local counts regression network H Lu, Z Cao, Y Xiao, B Zhuang, C Shen Plant methods 13 (1), 79, 2017 | 314 | 2017 |
| Multi-spectral remote image registration based on SIFT Z Yi, C Zhiguo, X Yang Electronics Letters 44 (2), 107-108, 2008 | 287 | 2008 |
| Monocular relative depth perception with web stereo data supervision K Xian, C Shen, Z Cao, H Lu, Y Xiao, R Li, Z Luo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 279 | 2018 |
| A2j: Anchor-to-joint regression network for 3d articulated pose estimation from a single depth image F Xiong, B Zhang, Y Xiao, Z Cao, T Yu, JT Zhou, J Yuan Proceedings of the IEEE/CVF international conference on computer vision, 793-802, 2019 | 248 | 2019 |
| P2b: Point-to-box network for 3d object tracking in point clouds H Qi, C Feng, Z Cao, F Zhao, Y Xiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 220 | 2020 |
| A machine learning-based model for survival prediction in patients with severe COVID-19 infection L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... MedRxiv 27, 2002, 2020 | 213 | 2020 |
| TOLDI: An effective and robust approach for 3D local shape description J Yang, Q Zhang, Y Xiao, Z Cao Pattern Recognition 65, 175-187, 2017 | 203 | 2017 |
| Automatic image-based detection technology for two critical growth stages of maize: Emergence and three-leaf stage Z Yu, Z Cao, X Wu, X Bai, Y Qin, W Zhuo, Y Xiao, X Zhang, H Xue Agricultural and forest meteorology 174, 65-84, 2013 | 183 | 2013 |
| mCENTRIST: A multi-channel feature generation mechanism for scene categorization Y Xiao, J Wu, J Yuan IEEE Transactions on Image Processing 23 (2), 823-836, 2013 | 175 | 2013 |
| Attention-driven loss for anomaly detection in video surveillance JT Zhou, L Zhang, Z Fang, J Du, X Peng, Y Xiao IEEE transactions on circuits and systems for video technology 30 (12), 4639 …, 2019 | 170 | 2019 |
| Action recognition for depth video using multi-view dynamic images Y Xiao, J Chen, Y Wang, Z Cao, JT Zhou, X Bai Information Sciences 480, 287-304, 2019 | 152 | 2019 |
| 3DV: 3D dynamic voxel for action recognition in depth video Y Wang, Y Xiao, F Xiong, W Jiang, Z Cao, JT Zhou, J Yuan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 146 | 2020 |
| In-field automatic observation of wheat heading stage using computer vision Y Zhu, Z Cao, H Lu, Y Li, Y Xiao Biosystems Engineering 143, 28-41, 2016 | 141 | 2016 |
| DeepCloud: Ground-based cloud image categorization using deep convolutional features L Ye, Z Cao, Y Xiao IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5729-5740, 2017 | 124 | 2017 |
| An embarrassingly simple approach to visual domain adaptation H Lu, C Shen, Z Cao, Y Xiao, A van den Hengel IEEE Transactions on Image Processing 27 (7), 3403-3417, 2018 | 107 | 2018 |
| Real-time detection of fall from bed using a single depth camera F Zhao, Z Cao, Y Xiao, J Mao, J Yuan IEEE Transactions on Automation Science and Engineering 16 (3), 1018-1032, 2018 | 104 | 2018 |
| Cloud classification of ground-based images using texture–structure features W Zhuo, Z Cao, Y Xiao Journal of Atmospheric and Oceanic Technology 31 (1), 79-92, 2014 | 104 | 2014 |
| Detecting Alzheimer's disease on small dataset: a knowledge transfer perspective W Li, Y Zhao, X Chen, Y Xiao, Y Qin IEEE journal of biomedical and health informatics 23 (3), 1234-1242, 2018 | 101 | 2018 |
Hao LuAssociate Professor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
