Ke Chen

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 77

Top Venues

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

Jingyu Xiang, Xuanxiang Lin, Ke Chen, Kui Jia
Adversarial Geometric Transformations of Point Clouds for Physical Attack. CVM (1) (2024)
Longkun Zou, Wanru Zhu, Ke Chen, Lihua Guo, Kailing Guo, Kui Jia, Yaowei Wang
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers. CoRR (2024)
Kangjun Liu, Ke Chen, Yaowei Wang, Kui Jia
Improving Deep Representation Learning via Auxiliary Learnable Target Coding. CoRR (2023)
Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. CoRR (2023)
Zelin Xu, Kangjun Liu, Ke Chen, Changxing Ding, Yaowei Wang, Kui Jia
Classification of single-view object point clouds. Pattern Recognit. 135 (2023)
Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI (2023)
Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang, Kui Jia
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose. IJCAI (2023)
Kangjun Liu, Ke Chen, Kui Jia
Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization. IEEE Trans. Image Process. 31 (2022)
Yuxin Wen, Jiehong Lin, Ke Chen, C. L. Philip Chen, Kui Jia
Geometry-Aware Generation of Adversarial Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Kangjun Liu, Ke Chen, Kui Jia
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. CoRR (2022)
Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. CoRR (2022)
Shu Yang, Yaowei Wang, Ke Chen, Wei Zeng, Zesong Fei
Attribute-Aware Feature Encoding for Object Recognition and Segmentation. IEEE Trans. Multim. 24 (2022)
Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. ECCV (33) (2022)
Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap. CoRR (2022)
Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhi-Xin Yang
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Trans. Cybern. 52 (6) (2022)
Zelin Xu, Yichen Zhang, Ke Chen, Kui Jia
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation. IJCAI (2022)
Lin Wei, Long Jin, Chenguang Yang, Ke Chen, Weibing Li
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. IEEE Trans. Syst. Man Cybern. Syst. 51 (4) (2021)
Xuanxiang Lin, Ke Chen, Kui Jia
Object Point Cloud Classification via Poly-Convolutional Architecture Search. ACM Multimedia (2021)
Longkun Zou, Hui Tang, Ke Chen, Kui Jia
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds. CoRR (2021)
Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. CoRR (2021)
Longkun Zou, Hui Tang, Ke Chen, Kui Jia
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. ICCV (2021)
Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CoRR (2021)
Xian Shi, Xun Xu, Ke Chen, Lile Cai, Chuan Sheng Foo, Kui Jia
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach. CoRR (2021)
Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. CVPR (2021)
Jiehong Lin, Hongyang Li, Ke Chen, Jiangbo Lu, Kui Jia
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space. NeurIPS (2021)
Hui Tang, Ke Chen, Kui Jia
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CoRR (2020)
Zhiguo Tan, Yueming Hu, Ke Chen
On the investigation of activation functions in gradient neural network for online solving linear matrix equation. Neurocomputing 413 (2020)
Zelin Xu, Ke Chen, Tong Zhang, C. L. Philip Chen, Kui Jia
3D Object Classification on Partial Point Clouds: A Practical Perspective. CoRR (2020)
Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering. CoRR (2020)
Lulu Tang, Ke Chen, Chaozheng Wu, Yu Hong, Kui Jia, Zhixin Yang
Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. CoRR (2020)
Hui Tang, Ke Chen, Kui Jia
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering. CVPR (2020)
Jiehong Lin, Xian Shi, Yuan Gao, Ke Chen, Kui Jia
CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling. CoRR (2020)
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia
Cascading Convolutional Color Constancy. AAAI (2020)
Longchuan Niu, Ke Chen, Kui Jia, Jouni Mattila
Efficient 3D Visual Perception for Robotic Rock Breaking. CASE (2019)
Heikki Huttunen, Ke Chen, Zhaoxiang Zhang
Guest Editorial: Special Issue on Machine Learning Implementations. J. Signal Process. Syst. 91 (2) (2019)
Yanlin Qian, Ke Chen, Huanglin Yu
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. ISPA (2019)
Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia
Cascading Convolutional Color Constancy. CoRR (2019)
Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen
ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. CoRR (2019)
Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li
Nonlinear gradient neural network for solving system of linear equations. Inf. Process. Lett. 142 (2019)
Ke Chen, Kui Jia, Heikki Huttunen, Jiri Matas, Joni-Kristian Kämäräinen
Cumulative attribute space regression for head pose estimation and color constancy. Pattern Recognit. 87 (2019)
Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen
Convolutional low-resolution fine-grained classification. Pattern Recognit. Lett. 119 (2019)
Zelin Xu, Ke Chen, Kui Jia
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression. CoRR (2019)
Yuxin Wen, Jiehong Lin, Ke Chen, Kui Jia
Geometry-aware Generation of Adversarial and Cooperative Point Clouds. CoRR (2019)
Zhiguo Tan, Yueming Hu, Lin Xiao, Ke Chen
Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. IEEE Access 7 (2019)
Yanlin Qian, Ke Chen, Huanglin Yu
Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge. CoRR (2019)
Kaiqi Wang, Ke Chen, Kui Jia
Deep Cascade Generation on Point Sets. IJCAI (2019)
Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kämäräinen
Hierarchical Deformable Part Models for Heads and Tails. VISIGRAPP (5: VISAPP) (2018)
Dan Yang, Yanlin Qian, Ke Chen, Eleni Berki, Joni-Kristian Kamarainen
Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation. IEEE Trans. Intell. Transp. Syst. 19 (6) (2018)
Zhijun Zhang, Shi Mao, Ke Chen, Lin Xiao, Bolin Liao, Chunquan Li, Penzchao Zhang
CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking. ROBIO (2018)
Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas
Dichromatic Gray Pixel for Camera-agnostic Color Constancy. CoRR (2018)
Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. 48 (9) (2018)
Lin Xiao, Bolin Liao, Shuai Li, Ke Chen
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations. Neural Networks 98 (2018)
Ke Chen, Zhaoxiang Zhang
A Primal Neural Network for Online Equality-Constrained Quadratic Programming. Cogn. Comput. 10 (2) (2018)
Ke Chen, Jeffrey A. Tuhtan, Juan Francisco Fuentes-Perez, Gert Toming, Mark Musall, Nataliya Strokina, Joni-Kristian Kamarainen, Maarja Kruusmaa
Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression. IEEE Trans. Instrum. Meas. 66 (4) (2017)
Ke Chen
Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving. CoRR (2017)
Yanlin Qian, Ke Chen, Jarno Nikkanen, Joni-Kristian Kamarainen, Jiri Matas
Recurrent Color Constancy. ICCV (2017)
Dingding Cai, Ke Chen, Yanlin Qian, Joni-Kristian Kämäräinen
Convolutional Low-Resolution Fine-Grained Classification. CoRR (2017)
Ke Chen, Zhaoxiang Zhang
Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. IEEE Trans. Big Data 3 (1) (2017)
Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen
Spectral attribute learning for visual regression. Pattern Recognit. 66 (2017)
Huiling Wang, Tinghuai Wang, Ke Chen, Joni-Kristian Kämäräinen
Cross-Granularity Graph Inference for Semantic Video Object Segmentation. IJCAI (2017)
Ke Chen, Zhaoxiang Zhang
Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. IEEE Trans. Syst. Man Cybern. Syst. 47 (4) (2017)
Ke Chen, Joni-Kristian Kämäräinen, Zhaoxiang Zhang
Facial Age Estimation Using Robust Label Distribution. ACM Multimedia (2016)
Ke Chen, Joni-Kristian Kamarainen
Pedestrian Density Analysis in Public Scenes With Spatiotemporal Tensor Features. IEEE Trans. Intell. Transp. Syst. 17 (7) (2016)
Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas
Deep Structured-Output Regression Learning for Computational Color Constancy. CoRR (2016)
Ke Chen, Joni-Kristian Kämäräinen
Learning with Ambiguous Label Distribution for Apparent Age Estimation. ACCV (3) (2016)
Ke Chen, Zhaoxiang Zhang
An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming. BICS (2016)
Ke Chen, Chenfu Yi
Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion. Appl. Math. Comput. 273 (2016)
Yanlin Qian, Ke Chen, Joni-Kristian Kamarainen, Jarno Nikkanen, Jiri Matas
Deep structured-output regression learning for computational color constancy. ICPR (2016)
Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR (2016)
Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
Car type recognition with Deep Neural Networks. Intelligent Vehicles Symposium (2016)
Ke Chen
Improved neural dynamics for online Sylvester equations solving. Inf. Process. Lett. 116 (7) (2016)
Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen
A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing 218 (2016)
Heikki Huttunen, Fatemeh Shokrollahi Yancheshmeh, Ke Chen
Car Type Recognition with Deep Neural Networks. CoRR (2016)
Ekaterina Riabchenko, Ke Chen, Joni-Kristian Kämäräinen
Progressive Visual Object Detection with Positive Training Examples Only. SCIA (2015)
Fatemeh Shokrollahi Yancheshmeh, Ke Chen, Joni-Kristian Kamarainen
Unsupervised visual alignment with similarity graphs. CVPR (2015)
Heikki Huttunen, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA (2015)
Ke Chen, Joni-Kristian Kamarainen
Learning to Count with Back-propagated Information. ICPR (2014)
Fatemeh Shokrollahi Yancheshmeh, Joni-Kristian Kämäräinen, Ke Chen
Discovering Multi-relational Latent Attributes by Visual Similarity Networks. ACCV Workshops (3) (2014)
Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen
Learning Generative Models of Object Parts from a Few Positive Examples. ICPR (2014)
Ekaterina Riabchenko, Joni-Kristian Kämäräinen, Ke Chen
Density-Aware Part-Based Object Detection with Positive Examples. ICPR (2014)
Ke Chen, Shaogang Gong, Tao Xiang, Chen Change Loy
Cumulative Attribute Space for Age and Crowd Density Estimation. CVPR (2013)
Yunong Zhang, Zhen Li, Dongsheng Guo, Ke Chen, Pei Chen
Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving. ICMLC (2013)
Ke Chen
Recurrent implicit dynamics for online matrix inversion. Appl. Math. Comput. 219 (20) (2013)
Ke Chen, Chen Change Loy, Shaogang Gong, Tony Xiang
Feature Mining for Localised Crowd Counting. BMVC (2012)
Ke Chen, Shaogang Gong, Tao Xiang
Human pose estimation using structural support vector machines. ICCV Workshops (2011)
Yunong Zhang, Weimu Ma, Xiao-Dong Li, Hongzhou Tan, Ke Chen
MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. Neurocomputing 72 (7-9) (2009)
Yunong Zhang, Ke Chen, Hongzhou Tan
Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion. IEEE Trans. Autom. Control. 54 (8) (2009)
Yunong Zhang, Yanyan Shi, Ke Chen, Chaoli Wang
Global exponential convergence and stability of gradient-based neural network for online matrix inversion. Appl. Math. Comput. 215 (3) (2009)
Yunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv
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. Robotics Auton. Syst. 57 (6-7) (2009)
Yunong Zhang, Zenghai Chen, Ke Chen, Binghuang Cai
Zhang neural network without using time-derivative information for constant and time-varying matrix inversion. IJCNN (2008)
Yunong Zhang, Zhan Li, Chenfu Yi, Ke Chen
Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization. ICIC (2) (2008)
Yunong Zhang, Wei Li, Chenfu Yi, Ke Chen
A weights-directly-determined simple neural network for nonlinear system identification. FUZZ-IEEE (2008)
Yunong Zhang, Ke Chen, Xuezhong Li, Chengfu Yi, Hong Zhu
Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving. ICNC (3) (2008)
Ke Chen, Shuai Yue, Yunong Zhang
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0. ICIC (2) (2008)
Yunong Zhang, Zhan Li, Ke Chen, Binghuang Cai
Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations. ICNSC (2008)
Yunong Zhang, Shuai Yue, Ke Chen, Chenfu Yi
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving. ISNN (1) (2008)
Yunong Zhang, Xiaojiao Guo, Weimu Ma, Ke Chen, Binghuang Cai
MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion. ICNSC (2008)
Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. IJCNN (2008)
Yunong Zhang, Ke Chen, Weimu Ma, Xiao-Dong Li
MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion. ICIC (2) (2007)

Ke Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ke Chen