Single image super resolution with high resolution dictionary. - Guangwu Mu; Xinbo Gao 001; Kaibing Zhang; Xuelong Li 001; Dacheng Tao (ICIP, 2011)

Partially Supervised Neighbor Embedding for Example-Based Image Super-Resolution. - Kaibing Zhang; Xinbo Gao 001; Xuelong Li 001; Dacheng Tao (IEEE J. Sel. Top. Signal Process., 2011)

Zernike-Moment-Based Image Super Resolution. - Xinbo Gao 001; Qian Wang; Xuelong Li 001; Dacheng Tao; Kaibing Zhang (IEEE Trans. Image Process., 2011)

Multi-scale dictionary for single image super-resolution. - Kaibing Zhang; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (CVPR, 2012)

A Novel JFE Scheme for Social Multimedia Distribution in Compressed Domain Using SVD and CA. - Conghuan Ye; Hefei Ling; Fuhao Zou; Zhengding Lu; Zenggang Xiong; Kaibing Zhang (IWDW, 2012)

Video super-resolution with 3D adaptive normalized convolution. - Kaibing Zhang; Guangwu Mu; Yuan Yuan 001; Xinbo Gao 001; Dacheng Tao (Neurocomputing, 2012)

Joint Learning for Single-Image Super-Resolution via a Coupled Constraint. - Xinbo Gao 001; Kaibing Zhang; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Image Process., 2012)

Image Super-Resolution With Sparse Neighbor Embedding. - Xinbo Gao 001; Kaibing Zhang; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Image Process., 2012)

Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression. - Kaibing Zhang; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Image Process., 2012)

Image super-resolution via non-local steering kernel regression regularization. - Kaibing Zhang; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (ICIP, 2013)

Single Image Super-Resolution With Multiscale Similarity Learning. - Kaibing Zhang; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Joint Fingerpriting and Encryption in Hybrid domains for Multimedia Sharing in Social Networks. - Conghuan Ye; Zenggang Xiong; Yaoming Ding; Jiping Li; Guangwei Wang; Kaibing Zhang (DMS, 2014)

Secure Multimedia Big Data Sharing in Social Networks Using Fingerprinting and Encryption in the JPEG2000 Compressed Domain. - Conghuan Ye; Zenggang Xiong; Yaoming Ding; Jiping Li; Guangwei Wang; Xuemin Zhang; Kaibing Zhang (TrustCom, 2014)

A Unified Learning Framework for Single Image Super-Resolution. - Jifei Yu; Xinbo Gao 001; Dacheng Tao; Xuelong Li 001; Kaibing Zhang (IEEE Trans. Neural Networks Learn. Syst., 2014)

Joint fingerprinting and encryption in hybrid domains for multimedia sharing in social networks. - Conghuan Ye; Zenggang Xiong; Yaoming Ding; Guangwei Wang; Jiping Li; Kaibing Zhang (J. Vis. Lang. Comput., 2014)

Image Denoising Using Modified Nonsubsampled Contourlet Transform Combined with Gaussian Scale Mixtures Model. - Chunman Yan; Kaibing Zhang; Yunping Qi (IScIDE (1), 2015)

Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution. - Kaibing Zhang; Dacheng Tao; Xinbo Gao 001; Xuelong Li 001; Zenggang Xiong (IEEE Trans. Image Process., 2015)

Image super-resolution using non-local Gaussian process regression. - Haijun Wang; Xinbo Gao 001; Kaibing Zhang; Jie Li 001 (Neurocomputing, 2016)

Single image super-resolution using regularization of non-local steering kernel regression. - Kaibing Zhang; Xinbo Gao 001; Jie Li 001; Hongxing Xia (Signal Process., 2016)

Single-Image Super-Resolution Using Active-Sampling Gaussian Process Regression. - Haijun Wang; Xinbo Gao 001; Kaibing Zhang; Jie Li 001 (IEEE Trans. Image Process., 2016)

Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution. - Cheng Deng; Jie Xu 012; Kaibing Zhang; Dacheng Tao; Xinbo Gao 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Fast single image super-resolution using sparse Gaussian process regression. - Haijun Wang; Xinbo Gao 001; Kaibing Zhang; Jie Li 001 (Signal Process., 2017)

Single Image Super-Resolution Using Gaussian Process Regression With Dictionary-Based Sampling and Student-t Likelihood. - Haijun Wang; Xinbo Gao 001; Kaibing Zhang; Jie Li 001 (IEEE Trans. Image Process., 2017)

Coarse-to-Fine Learning for Single-Image Super-Resolution. - Kaibing Zhang; Dacheng Tao; Xinbo Gao 001; Xuelong Li 001; Jie Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Fabric Defect Detection Using Salience Metric for Color Dissimilarity and Positional Aggregation. - Kaibing Zhang; Yadi Yan; Pengfei Li; Junfeng Jing; Xiuping Liu; Zhen Wang (IEEE Access, 2018)

Learning local dictionaries and similarity structures for single image super-resolution. - Kaibing Zhang; Jie Li 001; Haijun Wang; Xiuping Liu; Xinbo Gao 001 (Signal Process., 2018)

Learning a Cascade Regression for No-Reference Super-Resolution Image Quality Assessment. - Kaibing Zhang; Danni Zhu; Junfeng Jing; Xinbo Gao 001 (ICIP, 2019)

Multi-Feature Fusion for Enhancing Image Similarity Learning. - Jian Lu; Cheng-Xian Ma; Yan-Ran Zhou; Mao-Xin Luo; Kaibing Zhang (IEEE Access, 2019)

Learning recurrent residual regressors for single image super-resolution. - Kaibing Zhang; Zhen Wang 037; Jie Li 001; Xinbo Gao 001; Zenggang Xiong (Signal Process., 2019)

Robust Manifold Embedding for Face Recognition. - Zhonghua Liu; Lingyun Xiang; Kaiming Shi; Kaibing Zhang; Qingtao Wu (IEEE Access, 2020)

Active Discriminative Cross-Domain Alignment for Low-Resolution Face Recognition. - Dongdong Zheng; Kaibing Zhang; Jian Lu; Junfeng Jing; Zenggang Xiong (IEEE Access, 2020)

Learning stacking regressors for single image super-resolution. - Kaibing Zhang; Shuang Luo; Minqi Li; Junfeng Jing; Jian Lu; Zenggang Xiong (Appl. Intell., 2020)

An efficient semi-supervised manifold embedding for crowd counting. - Kaibing Zhang; Huake Wang; Wei Liu; Minqi Li; Jian Lu; Zhonghua Liu (Appl. Soft Comput., 2020)

Discriminative Label Relaxed Regression with Adaptive Graph Learning. - Jingjing Wang; Zhonghua Liu; Wenpeng Lu; Kaibing Zhang (Comput. Intell. Neurosci., 2020)

Discriminative sparse embedding based on adaptive graph for dimension reduction. - Zhonghua Liu; Kaiming Shi; Kaibing Zhang; Weihua Ou; Lin Wang 039 (Eng. Appl. Artif. Intell., 2020)

Fabric defect detection using saliency of multi-scale local steering kernel. - Kaibing Zhang; Yadi Yan; Pengfei Li; Junfeng Jing; Zhen Wang; Zenggang Xiong (IET Image Process., 2020)

Fast non-rigid points registration with cluster correspondences projection. - Minqi Li; Richard Yida Xu; Jing Xin; Kaibing Zhang; Junfeng Jing (Signal Process., 2020)

Structured optimal graph based sparse feature extraction for semi-supervised learning. - Zhonghua Liu; Zhihui Lai 001; Weihua Ou; Kaibing Zhang; Ruijuan Zheng (Signal Process., 2020)

Pseudo-label growth dictionary pair learning for crowd counting. - Wei Liu; Huake Wang; Hao Luo; Kaibing Zhang; Jian Lu; Zenggang Xiong (Appl. Intell., 2021)

Robust sparse low-rank embedding for image dimension reduction. - Zhonghua Liu; Yue Lu; Zhihui Lai 001; Weihua Ou; Kaibing Zhang (Appl. Soft Comput., 2021)

PTANet: Triple Attention Network for point cloud semantic segmentation. - Haozhe Cheng; Jian Lu; Mao-Xin Luo; Wei Liu; Kaibing Zhang (Eng. Appl. Artif. Intell., 2021)

Face hallucination based on cluster consistent dictionary learning. - Minqi Li; Xiangjian He; Kin-Man Lam 001; Kaibing Zhang; Junfeng Jing (IET Image Process., 2021)

Learning stacking regression for no-reference super-resolution image quality assessment. - Kaibing Zhang; Danni Zhu; Jie Li 001; Xinbo Gao 001; Fei Gao 006; Jian Lu (Signal Process., 2021)

Transfer Subspace Learning based on Double Relaxed Regression for Image Classification. - Yue Lu; Zhonghua Liu; Hua Huo; Chunlei Yang; Kaibing Zhang (Appl. Intell., 2022)

Learning graph-constrained cascade regressors for single image super-resolution. - Jianqiang Yan; Kaibing Zhang; Shuang Luo; Jian Xu; Jian Lu; Zenggang Xiong (Appl. Intell., 2022)

Joint channel-spatial attention network for super-resolution image quality assessment. - Tingyue Zhang; Kaibing Zhang; Chuan Xiao; Zenggang Xiong; Jian Lu (Appl. Intell., 2022)

Low-resolution face recognition based on feature-mapping face hallucination. - Sisi Li; Zhonghua Liu; Di Wu 058; Hua Huo; Haijun Wang; Kaibing Zhang (Comput. Electr. Eng., 2022)

Unsupervised simple Siamese representation learning for blind super-resolution. - Pengfeng Yin; Zhonghua Liu; Di Wu 058; Hua Huo; Haijun Wang; Kaibing Zhang (Eng. Appl. Artif. Intell., 2022)

Robust sparse manifold discriminant analysis. - Jingjing Wang; Zhonghua Liu; Kaibing Zhang; Qingtao Wu; Mingchuan Zhang (Multim. Tools Appl., 2022)

Multi-level landmark-guided deep network for face super-resolution. - Cheng Zhuang; Minqi Li; Kaibing Zhang; Zheng Li; Jian Lu (Neural Networks, 2022)

C$^{2}$MT: A Credible and Class-Aware Multi-Task Transformer for SR-IQA. - Hui Li; Kaibing Zhang; Zhenxing Niu; Hongyu Shi (IEEE Signal Process. Lett., 2022)

Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition. - Hao Luo; Kaibing Zhang; Shuang Luo; Jie Li 001; Xinbo Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Salient double reconstruction-based discriminative projective dictionary pair learning for crowd counting. - Tao Wang; Hao Luo; Kaibing Zhang; Huake Wang; Minqi Li; Jian Lu (Appl. Intell., 2023)

Corrigendum to "Unsupervised Simple Siamese Representation Learning for Blind Super-Resolution" [Eng. Appl. Artif. Intell. 114 (2022) 105092]. - Pengfei Yin; Zhonghua Liu; Di Wu; Hua Huo; Haijun Wang; Kaibing Zhang (Eng. Appl. Artif. Intell., 2023)

Multi-scale information distillation network for efficient image super-resolution. - Yanting Hu; Yuanfei Huang; Kaibing Zhang (Knowl. Based Syst., 2023)

Context Attention Fusion Network for crowd counting. - Tao Wang; Ting Zhang; Kaibing Zhang; Huake Wang; Minqi Li; Jian Lu (Knowl. Based Syst., 2023)

Be an Excellent Student: Review, Preview, and Correction. - Qizhi Cao; Kaibing Zhang; Xin He; Junge Shen (IEEE Signal Process. Lett., 2023)

Multi-Branch and Progressive Network for Low-Light Image Enhancement. - Kaibing Zhang; Cheng Yuan; Jie Li 001; Xinbo Gao 001; Minqi Li (IEEE Trans. Image Process., 2023)

Dynamic classifier approximation for unsupervised domain adaptation. - Zhonghua Liu; Kaiming Shi; Danmei Niu; Hua Huo; Kaibing Zhang (Signal Process., 2023)

Discriminative sparse least square regression for semi-supervised learning. - Zhonghua Liu; Zhihui Lai 001; Weihua Ou; Kaibing Zhang; Hua Huo (Inf. Sci., 2023)

Multiple temporal scale aggregation graph convolutional network for skeleton-based action recognition. - Xuanfeng Li; Jian Lu; Jian Zhou; Wei Liu; Kaibing Zhang (Comput. Electr. Eng., 2023)

Multi-distribution fitting for multi-view stereo. - Jinguang Chen; Zonghua Yu; Lili Ma; Kaibing Zhang (Mach. Vis. Appl., 2023)

Manifold transfer subspace learning based on double relaxed discriminative regression. - Zhonghua Liu; Fa Zhu; Kaibing Zhang; Zhihui Lai 001; Hua Huo (Artif. Intell. Rev., 2023)

Uncertainty awareness with adaptive propagation for multi-view stereo. - Jinguang Chen; Zonghua Yu; Lili Ma; Kaibing Zhang (Appl. Intell., 2023)

TADSRNet: A triple-attention dual-scale residual network for super-resolution image quality assessment. - Xing Quan; Kaibing Zhang; Hui Li; Dandan Fan; Yanting Hu; Jinguang Chen (Appl. Intell., 2023)

Learning cascade regression for super-resolution image quality assessment. - Xing Quan; Kaibing Zhang; Danni Zhu; Dandan Fan; Yanting Hu; Jinguang Chen (Appl. Intell., 2023)

Class-oriented discriminative twin reconstructions dictionary pair learning for visual recognition. - Chuan Xiao; Hao Luo; Kaibing Zhang (Signal Image Video Process., 2023)

Focusing on Significant Guidance: Preliminary Knowledge Guided Distillation. - Qizhi Cao; Kaibing Zhang; Dinghua Xue; Zhouqiang Zhang (PRCV (3), 2024)

SCAMS: Semantic Category-Aware Multi-scale Network for Video Quality Assessment. - Longgang Ren; Kaibing Zhang; Dandan Fan; Guang Shi (PRCV (10), 2024)

Boundary-aware dual edge convolution network for indoor point cloud semantic segmentation. - Jie Zhao; Jian Lu; Jian Zhou; Kaibing Zhang (Comput. Electr. Eng., 2024)

MATNet: Semantic segmentation of 3D point clouds with multiscale adaptive transformer. - Yufei Zheng; Jian Lu; Xiaogai Chen; Kaibing Zhang; Jian Zhou (Comput. Electr. Eng., 2024)

LSGRNet: Local Spatial Latent Geometric Relation Learning Network for 3D point cloud semantic segmentation. - Liguo Luo; Jian Lu; Xiaogai Chen; Kaibing Zhang; Jian Zhou (Comput. Graph., 2024)

MFCT: Multi-Frequency Cascade Transformers for no-reference SR-IQA. - Dandan Fan; Kaibing Zhang; Hui Li; Longgang Ren; Guang Shi (Comput. Vis. Image Underst., 2024)

LONet: Local Optimization Network for 3D point cloud semantic segmentation. - Shengbin Su; Jian Lu; Xiaogai Chen; Kaibing Zhang; Jian Zhou (Digit. Signal Process., 2024)

Discriminative transfer regression for low-rank and sparse subspace learning. - Zhonghua Liu; Weihua Ou; Jinbo Liu; Kaibing Zhang; Zhihui Lai 001; Hao Xiong (Eng. Appl. Artif. Intell., 2024)

Coordinate Attention Guided Dual-Teacher Adaptive Knowledge Distillation for image classification. - Dongtong Ma; Kaibing Zhang; Qizhi Cao; Jie Li 001; Xinbo Gao 001 (Expert Syst. Appl., 2024)

Low Communication-Cost PSI Protocol for Unbalanced Two-Party Private Sets. - Jingyu Ning; Zhenhua Tan; Kaibing Zhang; Weizhong Ye (IET Inf. Secur., 2024)

Lightweight image super-resolution network using 3D convolutional neural networks. - Hailong Li; Zhonghua Liu; Yong Liu; Di Wu; Kaibing Zhang (Adv. Math. Commun., 2024)

Multi-temporal scale aggregation refinement graph convolutional network for skeleton-based action recognition. - Xuanfeng Li; Jian Lu; Jian Zhou; Wei Liu; Kaibing Zhang (Comput. Animat. Virtual Worlds, 2024)

Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement. - Huake Wang; Xiaoyang Yan; Xingsong Hou; Junhui Li; Yujie Dun; Kaibing Zhang (Knowl. Based Syst., 2024)

Multi-scale non-local attention network for image super-resolution. - Xue Wu; Kaibing Zhang; Yanting Hu; Xin He; Xinbo Gao 001 (Signal Process., 2024)

High-Performance Feature Extraction Network for Point Cloud Semantic Segmentation. - Youcheng Liang; Jian Lu; Xiaogai Chen; Kaibing Zhang (IEEE Signal Process. Lett., 2024)

Hierarchical Kernel Interaction Network for Remote Sensing Object Counting. - Huake Wang; Xin Zeng; Ting Zhang; Jinjiang Wei; Xingsong Hou; Hengfeng Wu; Kaibing Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Semi-Supervised Domain Adaptation via Joint Transductive and Inductive Subspace Learning. - Hao Luo; Zhiqiang Tian; Kaibing Zhang; Guofa Wang; Shaoyi Du (IEEE Trans. Multim., 2024)

Robust manifold discriminative distribution adaptation for transfer subspace learning. - Zhonghua Liu; Weihua Ou; Kaibing Zhang; Hao Xiong (Expert Syst. Appl., 2024)

Coupled discriminative manifold alignment for low-resolution face recognition. - Kaibing Zhang; Dongdong Zheng; Jie Li 001; Xinbo Gao 001; Jian Lu (Pattern Recognit., 2024)

An Adaptive Region Proposal Network With Progressive Attention Propagation for Tiny Person Detection From UAV Images. - Youjiang Yu; Kaibing Zhang; Xiaohua Wang; Nannan Wang 001; Xinbo Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes. - Jinguang Chen; Suyue Wang; Lili Ma; Bo Yang; Kaibing Zhang (Neural Process. Lett., 2024)

Soft-edge-guided significant coordinate attention network for scene text image super-resolution. - Chenchen Xi; Kaibing Zhang; Xin He; Yanting Hu; Jinguang Chen (Vis. Comput., 2024)

Selectable receptive-field graph convolution networks for skeleton-based action recognition. - Yinghao Gong; Jian Lu; Xiaogai Chen; Jian Zhou; Kaibing Zhang (Appl. Soft Comput., 2025)

A virtual try-on network with arm region preservation. - Xin Zhang; Jinguang Chen; Lili Ma; Kaibing Zhang (Appl. Soft Comput., 2025)

VITON-DRR: Details retention virtual try-on via non-rigid registration. - Ben Li; Minqi Li; Jie Ren; Kaibing Zhang (Comput. Graph., 2025)

SASFNet: Soft-edge awareness and spatial-attention feedback deep network for blind image deblurring. - Jing Cheng; Kaibing Zhang; Jiahui Hou; Yuhong Zhang; Guang Shi (Comput. Vis. Image Underst., 2025)

ADT: Person re-identification based on efficient attention mechanism and single-channel dual-channel fusion with transformer features aggregation. - Jiahui Xing; Jian Lu; Kaibing Zhang; Xiaogai Chen (Expert Syst. Appl., 2025)

Unsupervised Vast-Receptive-Field attention for blind Super-Resolution. - Pengfei Yin; Zhonghua Liu; Weihua Ou; Kaibing Zhang (Expert Syst. Appl., 2025)

FMFI: Transformer based four branches multi-granularity feature integration for person Re-ID. - Xiaohan Zheng; Jian Lu; Jiahui Xing; Kaibing Zhang (Expert Syst. Appl., 2025)

Unmanned aerial vehicle maritime rescue object detection based on improved YOLO11. - Shengmei Zhang; Zhonghua Liu; Linjing Zhang; Weihua Ou; Kaibing Zhang (J. Electronic Imaging, 2025)

Learning scalable Omni-scale distribution for crowd counting. - Huake Wang; Xingsong Hou; Kaibing Zhang; Xin Zeng; Minqi Li; Wenke Sun; Xueming Qian (J. Vis. Commun. Image Represent., 2025)

RMANet: Refined-mixed attention network for progressive low-light image enhancement. - Ke Chen; Kaibing Zhang; Feifei Pang; Xinbo Gao 001; Guang Shi (Signal Process., 2025)

CS-VITON: a realistic virtual try-on network based on clothing region alignment and SPM. - Jinguang Chen; Xin Zhang; Lili Ma; Bo Yang; Kaibing Zhang (Vis. Comput., 2025)

Extracting Noise and Darkness: Low-Light Image Enhancement via Dual Prior Guidance. - Huake Wang; Xiaoyang Yan; Xingsong Hou; Kaibing Zhang; Yujie Dun (IEEE Trans. Circuits Syst. Video Technol., 2025)

Multiscale Transformer Hierarchically Embedded CNN Hybrid Network for Visible-Infrared Person Reidentification. - Suixin Liang; Jian Lu; Kaibing Zhang; Xiaogai Chen (IEEE Internet Things J., 2025)

LiteSpiralGCN: Lightweight 3D hand mesh reconstruction via spiral graph convolution. - Yiteng Wang; Minqi Li; Kaibing Zhang; Xiangjian He (Appl. Intell., 2025)

BeyondPoints: Curve Fusion and Attention-Driven Local Feature Learning for 3-D Semantic Segmentation. - Liguo Luo; Jian Lu; Kaibing Zhang; Haozhe Cheng; Xiaogai Chen (IEEE Internet Things J., 2025)