| Distribution-aware coordinate representation for human pose estimation F Zhang, X Zhu, H Dai, M Ye, C Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 595 | 2020 |
| Fast human pose estimation F Zhang, X Zhu, M Ye Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 345 | 2019 |
| Fast crowd density estimation with convolutional neural networks M Fu, P Xu, X Li, Q Liu, M Ye, C Zhu Engineering Applications of Artificial Intelligence 43, 81-88, 2015 | 284 | 2015 |
| A framework for data mining‐based anti‐money laundering research Z Gao, M Ye Journal of Money Laundering Control 10 (2), 170-179, 2007 | 139 | 2007 |
| Age invariant face recognition and retrieval by coupled auto-encoder networks C Xu, Q Liu, M Ye Neurocomputing 222, 62-71, 2017 | 135 | 2017 |
| Abnormal crowd behavior detection using high-frequency and spatio-temporal features B Wang, M Ye, X Li, F Zhao, J Ding Machine Vision and Applications 23, 501-511, 2012 | 119 | 2012 |
| A new financial data forecasting model using genetic algorithm and long short-term memory network Y Huang, Y Gao, Y Gan, M Ye Neurocomputing 425, 207-218, 2021 | 115 | 2021 |
| Drift compensation for electronic nose by semi-supervised domain adaption Q Liu, X Li, M Ye, SS Ge, X Du IEEE Sensors Journal 14 (3), 657-665, 2013 | 112 | 2013 |
| Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm Z Yi, M Ye, JC Lv, KK Tan IEEE Transactions on Neural Networks 16 (6), 1318-1328, 2005 | 90 | 2005 |
| A tabu search approach for the minimum sum-of-squares clustering problem Y Liu, Z Yi, H Wu, M Ye, K Chen Information Sciences 178 (12), 2680-2704, 2008 | 89 | 2008 |
| A Bayesian approach to camouflaged moving object detection X Zhang, C Zhu, S Wang, Y Liu, M Ye IEEE transactions on circuits and systems for video technology 27 (9), 2001-2013, 2016 | 88 | 2016 |
| Gas recognition under sensor drift by using deep learning Q Liu, X Hu, M Ye, X Cheng, F Li International Journal of Intelligent Systems 30 (8), 907-922, 2015 | 85 | 2015 |
| Dynamic background learning through deep auto-encoder networks P Xu, M Ye, X Li, Q Liu, Y Yang, J Ding Proceedings of the 22nd ACM international conference on Multimedia, 107-116, 2014 | 67 | 2014 |
| An extension to rough c-means clustering based on decision-theoretic rough sets model F Li, M Ye, X Chen International Journal of Approximate Reasoning 55 (1), 116-129, 2014 | 61 | 2014 |
| Adaptive deep convolutional neural networks for scene-specific object detection X Li, M Ye, Y Liu, C Zhu IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2538-2551, 2017 | 60 | 2017 |
| Source-free object detection by learning to overlook domain style S Li, M Ye, X Zhu, L Zhou, L Xiong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
| Accurate object detection using memory-based models in surveillance scenes X Li, M Ye, Y Liu, F Zhang, D Liu, S Tang Pattern Recognition 67, 73-84, 2017 | 55 | 2017 |
| Road segmentation for all-day outdoor robot navigation Y Zhang, H Chen, Y He, M Ye, X Cai, D Zhang Neurocomputing 314, 316-325, 2018 | 54 | 2018 |
| Projected outlier detection in high-dimensional mixed-attributes data set M Ye, X Li, ME Orlowska expert systems with applications 36 (3), 7104-7113, 2009 | 51 | 2009 |
| Single image deraining via decorrelating the rain streaks and background scene in gradient domain S Du, Y Liu, M Ye, Z Xu, J Li, J Liu Pattern Recognition 79, 303-317, 2018 | 50 | 2018 |
Xiatian ZhuUP Lab, CVSSP, University of SurreyVerified email at surrey.ac.uk
