Ke Chen
Cited by
Cited by
Feature Mining for Localised Crowd Counting.
K Chen, CC Loy, S Gong, T Xiang
BMVC 1 (2), 3, 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
Crowd Counting and Profiling: Methodology and Evaluation
CC Loy, K Chen, S Gong, T Xiang
Modeling, Simulation, and Visual Analysis of Large Crowds, 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
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
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
Car type recognition with deep neural networks
H Huttunen, FS Yancheshmeh, K Chen
2016 IEEE intelligent vehicles symposium (IV), 1115-1120, 2016
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
IEEE Transactions on Cybernetics, 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
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
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
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
Convolutional Low-Resolution Fine-Grained Classification
D Cai, K Chen, Y Qian, J Kämäräinen
Pattern Recognition Letters, 2017
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
Recurrent Color Constancy
Y Qian, K Chen, JK Kämäräinen, J Nikkanen, J Matas
ICCV, 2017
Novel joint-drift-free scheme at acceleration level for robotic redundancy resolution with tracking error theoretically eliminated
L Jin, Z Xie, M Liu, K Chen, C Li, C Yang
IEEE/ASME Transactions on Mechatronics 26 (1), 90-101, 2020
Recurrent implicit dynamics for online matrix inversion
K Chen
Applied Mathematics and Computation 219 (20), 10218–10224, 2013
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
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion
K Chen, C Yi
Applied Mathematics and Computation, 969–975, 2016
A weights-directly-determined simple neural network for nonlinear system identification
Y Zhang, W Li, C Yi, K Chen
2008 IEEE International conference on fuzzy systems (IEEE World Congress on …, 2008
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