| Feature Mining for Localised Crowd Counting. K Chen, CC Loy, S Gong, T Xiang BMVC 1 (2), 3, 2012 | 818 | 2012 |
| Cumulative Attribute Space for Age and Crowd Density Estimation K Chen, S Gong, T Xiang, CC Loy IEEE Conference on Computer Vision and Pattern Recognition, 2467-2474, 2013 | 589 | 2013 |
| Unsupervised domain adaptation via structurally regularized deep clustering H Tang, K Chen, K Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 326 | 2020 |
| Crowd Counting and Profiling: Methodology and Evaluation CC Loy, K Chen, S Gong, T Xiang Modeling, Simulation, and Visual Analysis of Large Crowds, 2013 | 299* | 2013 |
| Performance analysis of gradient neural network exploited for online time-varying matrix inversion Y Zhang, K Chen, HZ Tan IEEE Transactions on Automatic Control 54 (8), 1940-1945, 2009 | 226 | 2009 |
| Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations L Xiao, B Liao, S Li, K Chen Neural Networks 98, 102-113, 2018 | 156 | 2018 |
| Car type recognition with deep neural networks H Huttunen, FS Yancheshmeh, K Chen 2016 IEEE intelligent vehicles symposium (IV), 1115-1120, 2016 | 122 | 2016 |
| New noise-tolerant neural algorithms for future dynamic nonlinear optimization with estimation on Hessian matrix inversion L Wei, L Jin, C Yang, K Chen, W Li IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2611-2623, 2019 | 108 | 2019 |
| Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj IEEE Transactions on Cybernetics, 2017 | 106 | 2017 |
| Geometry-aware generation of adversarial point clouds Y Wen, J Lin, K Chen, CLP Chen, K Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 2984-2999, 2020 | 101 | 2020 |
| 3d affordancenet: A benchmark for visual object affordance understanding S Deng, X Xu, C Wu, K Chen, K Jia proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 99 | 2021 |
| Repetitive motion planning of PA10 robot arm subject to joint physical limits and using LVI-based primal–dual neural network Y Zhang, X Lv, Z Li, Z Yang, K Chen Mechatronics 18 (9), 475-485, 2008 | 86 | 2008 |
| A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion L Xiao, Y Zhang, J Dai, K Chen, S Yang, W Li, B Liao, L Ding, J Li Neural Networks, 2019 | 84 | 2019 |
| Global exponential convergence and stability of gradient-based neural network for online matrix inversion Y Zhang, Y Shi, K Chen, C Wang Applied Mathematics and Computation 215 (3), 1301-1306, 2009 | 84 | 2009 |
| Convolutional Low-Resolution Fine-Grained Classification D Cai, K Chen, Y Qian, J Kämäräinen Pattern Recognition Letters, 2017 | 82 | 2017 |
| Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator’s straight-line example Y Zhang, Z Tan, K Chen, Z Yang, X Lv Robotics and Autonomous Systems 57 (6-7), 645-651, 2009 | 81 | 2009 |
| Nonlinear gradient neural network for solving system of linear equations L Xiao, K Li, Z Tan, Z Zhang, B Liao, K Chen, L Jin, S Li Information Processing Letters 142, 35-40, 2019 | 65 | 2019 |
| Geometry-aware self-training for unsupervised domain adaptation on object point clouds L Zou, H Tang, K Chen, K Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 62 | 2021 |
| Recurrent Color Constancy Y Qian, K Chen, JK Kämäräinen, J Nikkanen, J Matas ICCV, 2017 | 59 | 2017 |
| Fine-Grained Object Classification via Self-Supervised Pose Alignment X Yang, Y Wang, K Chen, Y Xu, Y Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 54 | 2022 |
Kui Jia (贾奎)The Chinese University of Hong Kong, ShenzhenVerified email at cuhk.edu.cn
