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
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
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
Car type recognition with deep neural networks
H Huttunen, FS Yancheshmeh, K Chen
2016 IEEE intelligent vehicles symposium (IV), 1115-1120, 2016
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
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, 2019
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
Recurrent implicit dynamics for online matrix inversion
K Chen
Applied Mathematics and Computation 219 (20), 10218–10224, 2013
Convolutional Low-Resolution Fine-Grained Classification
D Cai, K Chen, Y Qian, J Kämäräinen
Pattern Recognition Letters, 2017
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion
K Chen, C Yi
Applied Mathematics and Computation, 969–975, 2016
Global exponential convergence and stability of Wang neural network for solving online linear equations
Y Zhang, K Chen
Electronics Letters 44 (2), 145-146, 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
Recurrent Color Constancy
Y Qian, K Chen, JK Kämäräinen, J Nikkanen, J Matas
ICCV, 2017
MATLAB Simulink modeling and simulation of LVI-based primal–dual neural network for solving linear and quadratic programs
Y Zhang, W Ma, XD Li, HZ Tan, K Chen
Neurocomputing 72 (7-9), 1679-1687, 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
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