Ke Chen

Orcid: 0000-0003-0928-5199

Affiliations:
  • South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
  • Tampere University of Technology, Finland
  • Queen Mary University of London, UK (PhD 2013)
  • Sun Yat-Sen University, Guangzhou, China (former)


According to our database1, Ke Chen authored at least 93 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Improving deep representation learning via auxiliary learnable target coding.
Pattern Recognit., 2025

2024
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers.
CoRR, 2024

Adversarial Geometric Transformations of Point Clouds for Physical Attack.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

2023
Classification of single-view object point clouds.
Pattern Recognit., 2023

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States.
CoRR, 2023

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Attribute-Aware Feature Encoding for Object Recognition and Segmentation.
IEEE Trans. Multim., 2022

Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization.
IEEE Trans. Image Process., 2022

Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors.
IEEE Trans. Cybern., 2022

Soft pseudo-Label shrinkage for unsupervised domain adaptive person re-identification.
Pattern Recognit., 2022

Geometry-Aware Generation of Adversarial Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-Grained Object Classification via Self-Supervised Pose Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point Clouds.
CoRR, 2021

Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach.
CoRR, 2021

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Object Point Cloud Classification via Poly-Convolutional Architecture Search.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
On the investigation of activation functions in gradient neural network for online solving linear matrix equation.
Neurocomputing, 2020

3D Object Classification on Partial Point Clouds: A Practical Perspective.
CoRR, 2020

CAD-PU: A Curvature-Adaptive Deep Learning Solution for Point Set Upsampling.
CoRR, 2020

Compositional Few-Shot Recognition with Primitive Discovery and Enhancing.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cascading Convolutional Color Constancy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Guest Editorial: Special Issue on Machine Learning Implementations.
J. Signal Process. Syst., 2019

Convolutional low-resolution fine-grained classification.
Pattern Recognit. Lett., 2019

Cumulative attribute space regression for head pose estimation and color constancy.
Pattern Recognit., 2019

A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019

Nonlinear gradient neural network for solving system of linear equations.
Inf. Process. Lett., 2019

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression.
CoRR, 2019

Geometry-aware Generation of Adversarial and Cooperative Point Clouds.
CoRR, 2019

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views.
CoRR, 2019

Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion.
IEEE Access, 2019

Fast Fourier Color Constancy and Grayness Index for ISPA Illumination Estimation Challenge.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Deep Cascade Generation on Point Sets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient 3D Visual Perception for Robotic Rock Breaking.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation.
IEEE Trans. Intell. Transp. Syst., 2018

Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval.
IEEE Trans. Cybern., 2018

Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
Neural Networks, 2018

Dichromatic Gray Pixel for Camera-agnostic Color Constancy.
CoRR, 2018

A Primal Neural Network for Online Equality-Constrained Quadratic Programming.
Cogn. Comput., 2018

Hierarchical Deformable Part Models for Heads and Tails.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017
Pedestrian Counting With Back-Propagated Information and Target Drift Remedy.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression.
IEEE Trans. Instrum. Meas., 2017

Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment.
IEEE Trans. Big Data, 2017

Spectral attribute learning for visual regression.
Pattern Recognit., 2017

Implicit Gradient Neural Networks with a Positive-Definite Mass Matrix for Online Linear Equations Solving.
CoRR, 2017

Cross-Granularity Graph Inference for Semantic Video Object Segmentation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Recurrent Color Constancy.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Pedestrian Density Analysis in Public Scenes With Spatiotemporal Tensor Features.
IEEE Trans. Intell. Transp. Syst., 2016

Improved neural dynamics for online Sylvester equations solving.
Inf. Process. Lett., 2016

A parameter-free label propagation algorithm for person identification in stereo videos.
Neurocomputing, 2016

Robustness analysis of a hybrid of recursive neural dynamics for online matrix inversion.
Appl. Math. Comput., 2016

Facial Age Estimation Using Robust Label Distribution.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Car type recognition with Deep Neural Networks.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Deep structured-output regression learning for computational color constancy.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

An Improved Recurrent Network for Online Equality-Constrained Quadratic Programming.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

Learning with Ambiguous Label Distribution for Apparent Age Estimation.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Progressive Visual Object Detection with Positive Training Examples Only.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Computer Vision for Head Pose Estimation: Review of a Competition.
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Unsupervised visual alignment with similarity graphs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Density-Aware Part-Based Object Detection with Positive Examples.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning Generative Models of Object Parts from a Few Positive Examples.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Learning to Count with Back-propagated Information.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Discovering Multi-relational Latent Attributes by Visual Similarity Networks.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Latent dependency mining for solving regression problems in computer vision.
PhD thesis, 2013

Recurrent implicit dynamics for online matrix inversion.
Appl. Math. Comput., 2013

Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Cumulative Attribute Space for Age and Crowd Density Estimation.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Crowd Counting and Profiling: Methodology and Evaluation.
Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013

2012
Feature Mining for Localised Crowd Counting.
Proceedings of the British Machine Vision Conference, 2012

2011
Human pose estimation using structural support vector machines.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2009
Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion.
IEEE Trans. Autom. Control., 2009

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., 2009

MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs.
Neurocomputing, 2009

Global exponential convergence and stability of gradient-based neural network for online matrix inversion.
Appl. Math. Comput., 2009

2008
MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving.
Proceedings of the Advances in Neural Networks, 2008

A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states.
Proceedings of the International Joint Conference on Neural Networks, 2008

Zhang neural network without using time-derivative information for constant and time-varying matrix inversion.
Proceedings of the International Joint Conference on Neural Networks, 2008

Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A weights-directly-determined simple neural network for nonlinear system identification.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007


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