Kaibing Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 69

Top Topics

Subspace Learning

Quality Assessment

Semantic Segmentation

Top Venues

Signal Process.

Eng. Appl. Artif. Intell.

Comput. Electr. Eng.

Publications

Youjiang Yu, Kaibing Zhang, Xiaohua Wang, Nannan Wang, Xinbo Gao
An Adaptive Region Proposal Network With Progressive Attention Propagation for Tiny Person Detection From UAV Images. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Huake Wang, Xin Zeng, Ting Zhang, Jinjiang Wei, Xingsong Hou, Hengfeng Wu, Kaibing Zhang
Hierarchical Kernel Interaction Network for Remote Sensing Object Counting. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jie Zhao, Jian Lu, Jian Zhou, Kaibing Zhang
Boundary-aware dual edge convolution network for indoor point cloud semantic segmentation. Comput. Electr. Eng. 116 (2024)
Xuanfeng Li, Jian Lu, Jian Zhou, Wei Liu, Kaibing Zhang
Multi-temporal scale aggregation refinement graph convolutional network for skeleton-based action recognition. Comput. Animat. Virtual Worlds 35 (1) (2024)
Jinguang Chen, Suyue Wang, Lili Ma, Bo Yang, Kaibing Zhang
SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes. Neural Process. Lett. 56 (4) (2024)
Liguo Luo, Jian Lu, Xiaogai Chen, Kaibing Zhang, Jian Zhou
LSGRNet: Local Spatial Latent Geometric Relation Learning Network for 3D point cloud semantic segmentation. Comput. Graph. 124 (2024)
Yufei Zheng, Jian Lu, Xiaogai Chen, Kaibing Zhang, Jian Zhou
MATNet: Semantic segmentation of 3D point clouds with multiscale adaptive transformer. Comput. Electr. Eng. 119 (2024)
Dongtong Ma, Kaibing Zhang, Qizhi Cao, Jie Li, Xinbo Gao
Coordinate Attention Guided Dual-Teacher Adaptive Knowledge Distillation for image classification. Expert Syst. Appl. 250 (2024)
Chenchen Xi, Kaibing Zhang, Xin He, Yanting Hu, Jinguang Chen
Soft-edge-guided significant coordinate attention network for scene text image super-resolution. Vis. Comput. 40 (8) (2024)
Zhonghua Liu, Weihua Ou, Kaibing Zhang, Hao Xiong
Robust manifold discriminative distribution adaptation for transfer subspace learning. Expert Syst. Appl. 238 (Part E) (2024)
Youcheng Liang, Jian Lu, Xiaogai Chen, Kaibing Zhang
High-Performance Feature Extraction Network for Point Cloud Semantic Segmentation. IEEE Signal Process. Lett. 31 (2024)
Huake Wang, Xiaoyang Yan, Xingsong Hou, Junhui Li, Yujie Dun, Kaibing Zhang
Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement. Knowl. Based Syst. 299 (2024)
Dandan Fan, Kaibing Zhang, Hui Li, Longgang Ren, Guang Shi
MFCT: Multi-Frequency Cascade Transformers for no-reference SR-IQA. Comput. Vis. Image Underst. 248 (2024)
Hailong Li, Zhonghua Liu, Yong Liu, Di Wu, Kaibing Zhang
Lightweight image super-resolution network using 3D convolutional neural networks. J. Electronic Imaging 33 (1) (2024)
Shengbin Su, Jian Lu, Xiaogai Chen, Kaibing Zhang, Jian Zhou
LONet: Local Optimization Network for 3D point cloud semantic segmentation. Digit. Signal Process. 154 (2024)
Kaibing Zhang, Dongdong Zheng, Jie Li, Xinbo Gao, Jian Lu
Coupled discriminative manifold alignment for low-resolution face recognition. Pattern Recognit. 147 (2024)
Xue Wu, Kaibing Zhang, Yanting Hu, Xin He, Xinbo Gao
Multi-scale non-local attention network for image super-resolution. Signal Process. 218 (2024)
Zhonghua Liu, Weihua Ou, Jinbo Liu, Kaibing Zhang, Zhihui Lai, Hao Xiong
Discriminative transfer regression for low-rank and sparse subspace learning. Eng. Appl. Artif. Intell. 133 (2024)
Xuanfeng Li, Jian Lu, Jian Zhou, Wei Liu, Kaibing Zhang
Multiple temporal scale aggregation graph convolutional network for skeleton-based action recognition. Comput. Electr. Eng. 110 (2023)
Jinguang Chen, Zonghua Yu, Lili Ma, Kaibing Zhang
Multi-distribution fitting for multi-view stereo. Mach. Vis. Appl. 34 (5) (2023)
Yanting Hu, Yuanfei Huang, Kaibing Zhang
Multi-scale information distillation network for efficient image super-resolution. Knowl. Based Syst. 275 (2023)
Xing Quan, Kaibing Zhang, Hui Li, Dandan Fan, Yanting Hu, Jinguang Chen
TADSRNet: A triple-attention dual-scale residual network for super-resolution image quality assessment. Appl. Intell. 53 (22) (2023)
Chuan Xiao, Hao Luo, Kaibing Zhang
Class-oriented discriminative twin reconstructions dictionary pair learning for visual recognition. Signal Image Video Process. 17 (8) (2023)
Kaibing Zhang, Cheng Yuan, Jie Li, Xinbo Gao, Minqi Li
Multi-Branch and Progressive Network for Low-Light Image Enhancement. IEEE Trans. Image Process. 32 (2023)
Zhonghua Liu, Fa Zhu, Kaibing Zhang, Zhihui Lai, Hua Huo
Manifold transfer subspace learning based on double relaxed discriminative regression. Artif. Intell. Rev. 56 (S1) (2023)
Xing Quan, Kaibing Zhang, Danni Zhu, Dandan Fan, Yanting Hu, Jinguang Chen
Learning cascade regression for super-resolution image quality assessment. Appl. Intell. 53 (22) (2023)
Pengfei Yin, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang
Corrigendum to "Unsupervised Simple Siamese Representation Learning for Blind Super-Resolution" [Eng. Appl. Artif. Intell. 114 (2022) 105092]. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Hua Huo
Discriminative sparse least square regression for semi-supervised learning. Inf. Sci. 636 (2023)
Huake Wang, Xiaoyang Yan, Xingsong Hou, Junhui Li, Yujie Dun, Kaibing Zhang
Division Gets Better: Learning Brightness-Aware and Detail-Sensitive Representations for Low-Light Image Enhancement. CoRR (2023)
Tao Wang, Hao Luo, Kaibing Zhang, Huake Wang, Minqi Li, Jian Lu
Salient double reconstruction-based discriminative projective dictionary pair learning for crowd counting. Appl. Intell. 53 (2) (2023)
Zhonghua Liu, Kaiming Shi, Danmei Niu, Hua Huo, Kaibing Zhang
Dynamic classifier approximation for unsupervised domain adaptation. Signal Process. 206 (2023)
Tao Wang, Ting Zhang, Kaibing Zhang, Huake Wang, Minqi Li, Jian Lu
Context Attention Fusion Network for crowd counting. Knowl. Based Syst. 271 (2023)
Qizhi Cao, Kaibing Zhang, Xin He, Junge Shen
Be an Excellent Student: Review, Preview, and Correction. IEEE Signal Process. Lett. 30 (2023)
Jinguang Chen, Zonghua Yu, Lili Ma, Kaibing Zhang
Uncertainty awareness with adaptive propagation for multi-view stereo. Appl. Intell. 53 (21) (2023)
Tingyue Zhang, Kaibing Zhang, Chuan Xiao, Zenggang Xiong, Jian Lu
Joint channel-spatial attention network for super-resolution image quality assessment. Appl. Intell. 52 (15) (2022)
Pengfeng Yin, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang
Unsupervised simple Siamese representation learning for blind super-resolution. Eng. Appl. Artif. Intell. 114 (2022)
Hao Luo, Kaibing Zhang, Shuang Luo, Jie Li, Xinbo Gao
Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Jingjing Wang, Zhonghua Liu, Kaibing Zhang, Qingtao Wu, Mingchuan Zhang
Robust sparse manifold discriminant analysis. Multim. Tools Appl. 81 (15) (2022)
Hui Li, Kaibing Zhang, Zhenxing Niu, Hongyu Shi
C$^{2}$MT: A Credible and Class-Aware Multi-Task Transformer for SR-IQA. IEEE Signal Process. Lett. 29 (2022)
Jianqiang Yan, Kaibing Zhang, Shuang Luo, Jian Xu, Jian Lu, Zenggang Xiong
Learning graph-constrained cascade regressors for single image super-resolution. Appl. Intell. 52 (10) (2022)
Yue Lu, Zhonghua Liu, Hua Huo, Chunlei Yang, Kaibing Zhang
Transfer Subspace Learning based on Double Relaxed Regression for Image Classification. Appl. Intell. 52 (14) (2022)
Sisi Li, Zhonghua Liu, Di Wu, Hua Huo, Haijun Wang, Kaibing Zhang
Low-resolution face recognition based on feature-mapping face hallucination. Comput. Electr. Eng. 101 (2022)
Cheng Zhuang, Minqi Li, Kaibing Zhang, Zheng Li, Jian Lu
Multi-level landmark-guided deep network for face super-resolution. Neural Networks 152 (2022)
Haozhe Cheng, Jian Lu, Mao-Xin Luo, Wei Liu, Kaibing Zhang
PTANet: Triple Attention Network for point cloud semantic segmentation. Eng. Appl. Artif. Intell. 102 (2021)
Kaibing Zhang, Danni Zhu, Jie Li, Xinbo Gao, Fei Gao, Jian Lu
Learning stacking regression for no-reference super-resolution image quality assessment. Signal Process. 178 (2021)
Wei Liu, Huake Wang, Hao Luo, Kaibing Zhang, Jian Lu, Zenggang Xiong
Pseudo-label growth dictionary pair learning for crowd counting. Appl. Intell. 51 (12) (2021)
Minqi Li, Xiangjian He, Kin-Man Lam, Kaibing Zhang, Junfeng Jing
Face hallucination based on cluster consistent dictionary learning. IET Image Process. 15 (12) (2021)
Zhonghua Liu, Yue Lu, Zhihui Lai, Weihua Ou, Kaibing Zhang
Robust sparse low-rank embedding for image dimension reduction. Appl. Soft Comput. 113 (Part) (2021)
Zhonghua Liu, Kaiming Shi, Kaibing Zhang, Weihua Ou, Lin Wang
Discriminative sparse embedding based on adaptive graph for dimension reduction. Eng. Appl. Artif. Intell. 94 (2020)
Kaibing Zhang, Huake Wang, Wei Liu, Minqi Li, Jian Lu, Zhonghua Liu
An efficient semi-supervised manifold embedding for crowd counting. Appl. Soft Comput. 96 (2020)
Zhonghua Liu, Lingyun Xiang, Kaiming Shi, Kaibing Zhang, Qingtao Wu
Robust Manifold Embedding for Face Recognition. IEEE Access 8 (2020)
Dongdong Zheng, Kaibing Zhang, Jian Lu, Junfeng Jing, Zenggang Xiong
Active Discriminative Cross-Domain Alignment for Low-Resolution Face Recognition. IEEE Access 8 (2020)
Kaibing Zhang, Yadi Yan, Pengfei Li, Junfeng Jing, Zhen Wang, Zenggang Xiong
Fabric defect detection using saliency of multi-scale local steering kernel. IET Image Process. 14 (7) (2020)
Zhonghua Liu, Zhihui Lai, Weihua Ou, Kaibing Zhang, Ruijuan Zheng
Structured optimal graph based sparse feature extraction for semi-supervised learning. Signal Process. 170 (2020)
Jingjing Wang, Zhonghua Liu, Wenpeng Lu, Kaibing Zhang
Discriminative Label Relaxed Regression with Adaptive Graph Learning. Comput. Intell. Neurosci. 2020 (2020)
Kaibing Zhang, Shuang Luo, Minqi Li, Junfeng Jing, Jian Lu, Zenggang Xiong
Learning stacking regressors for single image super-resolution. Appl. Intell. 50 (12) (2020)
Minqi Li, Richard Yida Xu, Jing Xin, Kaibing Zhang, Junfeng Jing
Fast non-rigid points registration with cluster correspondences projection. Signal Process. 170 (2020)
Kaibing Zhang, Danni Zhu, Junfeng Jing, Xinbo Gao
Learning a Cascade Regression for No-Reference Super-Resolution Image Quality Assessment. ICIP (2019)
Kaibing Zhang, Zhen Wang, Jie Li, Xinbo Gao, Zenggang Xiong
Learning recurrent residual regressors for single image super-resolution. Signal Process. 154 (2019)
Jian Lu, Cheng-Xian Ma, Yan-Ran Zhou, Mao-Xin Luo, Kaibing Zhang
Multi-Feature Fusion for Enhancing Image Similarity Learning. IEEE Access 7 (2019)
Kaibing Zhang, Jie Li, Haijun Wang, Xiuping Liu, Xinbo Gao
Learning local dictionaries and similarity structures for single image super-resolution. Signal Process. 142 (2018)
Kaibing Zhang, Yadi Yan, Pengfei Li, Junfeng Jing, Xiuping Liu, Zhen Wang
Fabric Defect Detection Using Salience Metric for Color Dissimilarity and Positional Aggregation. IEEE Access 6 (2018)
Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li
Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based Sampling and Student-t Likelihood. IEEE Trans. Image Process. 26 (7) (2017)
Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li, Jie Li
Coarse-to-Fine Learning for Single-Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 28 (5) (2017)
Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li
Fast single image super-resolution using sparse Gaussian process regression. Signal Process. 134 (2017)
Kaibing Zhang, Xinbo Gao, Jie Li, Hongxing Xia
Single image super-resolution using regularization of non-local steering kernel regression. Signal Process. 123 (2016)
Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li
Single-Image Super-Resolution Using Active-Sampling Gaussian Process Regression. IEEE Trans. Image Process. 25 (2) (2016)
Cheng Deng, Jie Xu, Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 27 (12) (2016)
Haijun Wang, Xinbo Gao, Kaibing Zhang, Jie Li
Image super-resolution using non-local Gaussian process regression. Neurocomputing 194 (2016)
Kaibing Zhang, Dacheng Tao, Xinbo Gao, Xuelong Li, Zenggang Xiong
Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution. IEEE Trans. Image Process. 24 (3) (2015)
Chunman Yan, Kaibing Zhang, Yunping Qi
Image Denoising Using Modified Nonsubsampled Contourlet Transform Combined with Gaussian Scale Mixtures Model. IScIDE (1) (2015)
Conghuan Ye, Zenggang Xiong, Yaoming Ding, Jiping Li, Guangwei Wang, Kaibing Zhang
Joint Fingerpriting and Encryption in Hybrid domains for Multimedia Sharing in Social Networks. DMS (2014)
Jifei Yu, Xinbo Gao, Dacheng Tao, Xuelong Li, Kaibing Zhang
A Unified Learning Framework for Single Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
Conghuan Ye, Zenggang Xiong, Yaoming Ding, Guangwei Wang, Jiping Li, Kaibing Zhang
Joint fingerprinting and encryption in hybrid domains for multimedia sharing in social networks. J. Vis. Lang. Comput. 25 (6) (2014)
Conghuan Ye, Zenggang Xiong, Yaoming Ding, Jiping Li, Guangwei Wang, Xuemin Zhang, Kaibing Zhang
Secure Multimedia Big Data Sharing in Social Networks Using Fingerprinting and Encryption in the JPEG2000 Compressed Domain. TrustCom (2014)
Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li
Single Image Super-Resolution With Multiscale Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. 24 (10) (2013)
Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li
Image super-resolution via non-local steering kernel regression regularization. ICIP (2013)
Xinbo Gao, Kaibing Zhang, Dacheng Tao, Xuelong Li
Image Super-Resolution With Sparse Neighbor Embedding. IEEE Trans. Image Process. 21 (7) (2012)
Kaibing Zhang, Guangwu Mu, Yuan Yuan, Xinbo Gao, Dacheng Tao
Video super-resolution with 3D adaptive normalized convolution. Neurocomputing 94 (2012)
Conghuan Ye, Hefei Ling, Fuhao Zou, Zhengding Lu, Zenggang Xiong, Kaibing Zhang
A Novel JFE Scheme for Social Multimedia Distribution in Compressed Domain Using SVD and CA. IWDW (2012)
Xinbo Gao, Kaibing Zhang, Dacheng Tao, Xuelong Li
Joint Learning for Single-Image Super-Resolution via a Coupled Constraint. IEEE Trans. Image Process. 21 (2) (2012)
Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li
Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression. IEEE Trans. Image Process. 21 (11) (2012)
Kaibing Zhang, Xinbo Gao, Dacheng Tao, Xuelong Li
Multi-scale dictionary for single image super-resolution. CVPR (2012)
Kaibing Zhang, Xinbo Gao, Xuelong Li, Dacheng Tao
Partially Supervised Neighbor Embedding for Example-Based Image Super-Resolution. IEEE J. Sel. Top. Signal Process. 5 (2) (2011)
Guangwu Mu, Xinbo Gao, Kaibing Zhang, Xuelong Li, Dacheng Tao
Single image super resolution with high resolution dictionary. ICIP (2011)
Xinbo Gao, Qian Wang, Xuelong Li, Dacheng Tao, Kaibing Zhang
Zernike-Moment-Based Image Super Resolution. IEEE Trans. Image Process. 20 (10) (2011)