Ke Chen

About Ke Chen

Ke Chen, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at South China University of Technology, specializes in the field of Computer Vision, Neural Networks, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adversarial Geometric Transformations of Point Clouds for Physical Attack

Method for point cloud up-sampling based on deep learning

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States

Manifold-aware self-training for unsupervised domain adaptation on regressing 6D object pose

Classification of single-view object point clouds

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data

A Multiscale Deep‐Learning Model for Atom Identification from Low‐Signal‐to‐Noise‐Ratio Transmission Electron Microscopy Images

Improving Deep Representation Learning via Auxiliary Learnable Target Coding

Ke Chen Information

University

Position

___

Citations(all)

4602

Citations(since 2020)

3212

Cited By

2629

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

70

i10Index(since 2020)

52

Email

University Profile Page

South China University of Technology

Google Scholar

View Google Scholar Profile

Ke Chen Skills & Research Interests

Computer Vision

Neural Networks

Robotics

Top articles of Ke Chen

Title

Journal

Author(s)

Publication Date

Adversarial Geometric Transformations of Point Clouds for Physical Attack

Jingyu Xiang

Xuanxiang Lin

Ke Chen

Kui Jia

2024/3/30

Method for point cloud up-sampling based on deep learning

2024/1/23

ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States

arXiv preprint arXiv:2305.18684

Kangjun Liu

Ke Chen

Lihua Guo

Yaowei Wang

Kui Jia

2023/5/30

Manifold-aware self-training for unsupervised domain adaptation on regressing 6D object pose

arXiv preprint arXiv:2305.10808

Yichen Zhang

Jiehong Lin

Ke Chen

Zelin Xu

Yaowei Wang

...

2023/5/18

Classification of single-view object point clouds

Pattern Recognition

Zelin Xu

Kangjun Liu

Ke Chen

Changxing Ding

Yaowei Wang

...

2023/3/1

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data

Chongsheng Zhang

Yaxin Hou

Ke Chen

Shuang Cao

Gaojuan Fan

...

2023

A Multiscale Deep‐Learning Model for Atom Identification from Low‐Signal‐to‐Noise‐Ratio Transmission Electron Microscopy Images

Small Science

Yanyu Lin

Zhangyuan Yan

Chi Shing Tsang

Lok Wing Wong

Xiaodong Zheng

...

2023/8

Improving Deep Representation Learning via Auxiliary Learnable Target Coding

arXiv preprint arXiv:2305.18680

Kangjun Liu

Ke Chen

Yaowei Wang

Kui Jia

2023/5/30

Reivew of light field image super-resolution

Li Yu

Yunpeng Ma

Song Hong

Ke Chen

2022/6/17

Fine-Grained Object Classification via Self-Supervised Pose Alignment

Xuhui Yang

Yaowei Wang

Ke Chen

Yong Xu

Yonghong Tian

2022

Bico-net: Regress globally, match locally for robust 6d pose estimation

arXiv preprint arXiv:2205.03536

Zelin Xu

Yichen Zhang

Ke Chen

Kui Jia

2022/5/7

Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization

IEEE Transactions on Image Processing

Kangjun Liu

Ke Chen

Kui Jia

2022

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme

Chongsheng Zhang

Bin Wang

Ke Chen

Ruixing Zong

Bo-feng Mo

...

2022

Soft pseudo-label shrinkage for unsupervised domain adaptive person re-identification

Pattern Recognition

Dingyuan Zheng

Jimin Xiao

Ke Chen

Xiaowei Huang

Lin Chen

...

2022/7/1

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

Yongwei Chen

Zihao Wang

Longkun Zou

Ke Chen

Kui Jia

2022

Attribute-Aware Feature Encoding for Object Recognition and Segmentation

IEEE Transactions on Multimedia

Shu Yang

Yaowei Wang

Ke Chen

Wei Zeng

Zesong Fei

2021

3d affordancenet: A benchmark for visual object affordance understanding

Shengheng Deng

Xun Xu

Chaozheng Wu

Ke Chen

Kui Jia

2021

Sparse steerable convolutions: An efficient learning of se (3)-equivariant features for estimation and tracking of object poses in 3d space

Advances in Neural Information Processing Systems

Jiehong Lin

Hongyang Li

Ke Chen

Jiangbo Lu

Kui Jia

2021/12/6

Geometry-aware self-training for unsupervised domain adaptation on object point clouds

Longkun Zou

Hui Tang

Ke Chen

Kui Jia

2021

Object point cloud classification via poly-convolutional architecture search

Xuanxiang Lin

Ke Chen

Kui Jia

2021/10/17

See List of Professors in Ke Chen University(South China University of Technology)

Co-Authors

H-index: 109
Shaogang Gong

Shaogang Gong

Queen Mary University of London

H-index: 108
Chen Change Loy

Chen Change Loy

Nanyang Technological University

H-index: 97
Tao Xiang

Tao Xiang

University of Surrey

H-index: 94
Jiri Matas

Jiri Matas

Ceské vysoké ucení technické v Praze

H-index: 65
Yunong Zhang

Yunong Zhang

Sun Yat-Sen University

H-index: 50
Kui Jia (贾奎)

Kui Jia (贾奎)

South China University of Technology

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