Face Recognition Using Kernel Based Fisher Discriminant Analysis. - Qingshan Liu 001; Rui Huang 001; Hanqing Lu; Songde Ma (FGR, 2002)

Solving the Small Sample Size Problem of LDA. - Rui Huang 001; Qingshan Liu 001; Hanqing Lu; Songde Ma (ICPR (3), 2002)

Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition. - Qingshan Liu 001; Rui Huang 001; Hanqing Lu; Songde Ma (ICPR (2), 2002)

Head Tracking Using Shapes and Adaptive Color Histograms. - Qingshan Liu 001; Songde Ma; Hanqing Lu (J. Comput. Sci. Technol., 2002)

Kernel-Based Nonlinear Discriminant Analysis for Face Recognition. - Qingshan Liu 001; Rui Huang 001; Hanqing Lu; Songde Ma (J. Comput. Sci. Technol., 2003)

Face Detection Using One-Class-Based Support Vectors. - Hongliang Jin; Qingshan Liu 001; Hanqing Lu (FGR, 2004)

Modeling Face Appearance With Nonlinear Independent Component Analysis. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (FGR, 2004)

Face detection using improved LBP under Bayesian framework. - Hongliang Jin; Qingshan Liu 001; Hanqing Lu; Xiaofeng Tong (ICIG, 2004)

Robust color-based tracking. - Feng Liu; Qingshan Liu 001; Hanqing Lu (ICIG, 2004)

Replay detection in broadcasting sports video. - Xiaofeng Tong; Hanqing Lu; Qingshan Liu 001; Hongliang Jin (ICIG, 2004)

A supervised nonlinear local embedding for face recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (ICIP, 2004)

Semantic units based events detection in soccer videos. - Xiaofeng Tong; Qingshan Liu 001; Hanqing Lu (ICIP, 2004)

Feature space analysis using low-order tensor voting. - Jia Wang; Hanqing Lu; Qingshan Liu 001 (ICIP, 2004)

A three-layer event detection framework and its application in soccer video. - Xiao-Feng Tong; Han-Qing Lu; Qingshan Liu 001 (ICME, 2004)

Texture Classification Using Kernel Independent Component Analysi. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (ICPR (1), 2004)

Distance Based Kernel PCA Image Reconstruction. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (ICPR (3), 2004)

Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition. - Qingshan Liu 001; Xiaoou Tang; Hanqing Lu; Songde Ma (ICPR (2), 2004)

An Effective and Fast Soccer Ball Detection and Tracking Method. - Xiao-Feng Tong; Han-Qing Lu; Qingshan Liu 001 (ICPR (4), 2004)

Tensor Voting Toward Feature Space Analysis. - Jia Wang; Hanqing Lu; Qingshan Liu 001 (ICPR (3), 2004)

Random Independent Subspace for Face Recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (KES, 2004)

Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. - Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Songde Ma (KES, 2004)

Improving kernel Fisher discriminant analysis for face recognition. - Qingshan Liu 001; Hanqing Lu; Songde Ma (IEEE Trans. Circuits Syst. Video Technol., 2004)

A Nonlinear Approach for Face Sketch Synthesis and Recognition. - Qingshan Liu 001; Xiaoou Tang; Hongliang Jin; Hanqing Lu; Songde Ma (CVPR (1), 2005)

Learning Local Descriptors for Face Detection. - Hongliang Jin; Qingshan Liu 001; Xiaoou Tang; Hanqing Lu (ICME, 2005)

AIRE: an ambient interactive and responsive environment for mobile image management. - Zhigang Hua; Xiang-Jun Wang; Xing Xie 001; Qingshan Liu 001; Hanqing Lu; Wei-Ying Ma (Mobile HCI, 2005)

A unified framework for semantic shot representation of sports video. - Xiaofeng Tong; Qingshan Liu 001; Lingyu Duan; Hanqing Lu; Changsheng Xu; Qi Tian 002 (Multimedia Information Retrieval, 2005)

Semantic knowledge extraction and annotation for web images. - Zhigang Hua; Xiang-Jun Wang; Qingshan Liu 001; Hanqing Lu (ACM Multimedia, 2005)

Providing on-demand sports video to mobile devices. - Qingshan Liu 001; Zhigang Hua; Cunxun Zang; Xiaofeng Tong; Hanqing Lu (ACM Multimedia, 2005)

Highlight ranking for sports video browsing. - Xiaofeng Tong; Qingshan Liu 001; Yifan Zhang 001; Hanqing Lu (ACM Multimedia, 2005)

Fast Global Motion Estimation via Modified ILSE Method. - Jia Wang; Hanqing Lu; Qingshan Liu 001 (MVA, 2005)

Supervised kernel locality preserving projections for face recognition. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (Neurocomputing, 2005)

A Geometric Contour Framework with Vector Field Support. - Zhenglong Li 001; Qingshan Liu 001; Hanqing Lu (ACCV (2), 2006)

Boosting Multi-gabor Subspaces for Face Recognition. - Qingshan Liu 001; Hongliang Jin; Xiaoou Tang; Hanqing Lu; Songde Ma (ACCV (1), 2006)

Automatic Moving Object Segmentation with Accurate Boundaries. - Jia Wang; Haifeng Wang; Qingshan Liu 001; Hanqing Lu (ACCV (1), 2006)

Fast Global Motion Estimation Via Iterative Least-Square Method. - Jia Wang; Haifeng Wang; Qingshan Liu 001; Hanqing Lu (ACCV (2), 2006)

Multiple Similarities Based Kernel Subspace Learning for Image Classification. - Wang Yan; Qingshan Liu 001; Hanqing Lu; Songde Ma (ACCV (2), 2006)

Web Image Mining Based on Modeling Concept-Sensitive Salient Regions. - Jing Liu 001; Qingshan Liu 001; Jinqiao Wang; Hanqing Lu; Songde Ma (ICME, 2006)

Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction. - Haifeng Wang; Jia Wang; Qingshan Liu 001; Hanqing Lu (ICME, 2006)

A Geometric Active Contour Framework using Multi-Cue and Local Feature. - Zhenglong Li 001; Qingshan Liu 001; Hanqing Lu (ICPR (2), 2006)

Occlusion Robust Face Recognition with Dynamic Similarity Features. - Qingshan Liu 001; Wang Yan; Hanqing Lu; Songde Ma (ICPR (3), 2006)

Dynamic Similarity Kernel for Visual Recognition. - Wang Yan; Qingshan Liu 001; Hanqing Lu; Songde Ma (KES (2), 2006)

An adaptive graph model for automatic image annotation. - Jing Liu 001; Mingjing Li; Wei-Ying Ma; Qingshan Liu 001; Hanqing Lu (Multimedia Information Retrieval, 2006)

A framework for providing adaptive sports video to mobile devices. - Cunxun Zang; Qingshan Liu 001; Xiaofeng Tong; Hanqing Lu (MobiMedia, 2006)

Ensemble learning for independent component analysis. - Jian Cheng 001; Qingshan Liu 001; Hanqing Lu; Yen-Wei Chen 001 (Pattern Recognit., 2006)

Face recognition using kernel scatter-difference-based discriminant analysis. - Qingshan Liu 001; Xiaoou Tang; Hanqing Lu; Songde Ma (IEEE Trans. Neural Networks, 2006)

Image Segmentation Using Co-EM Strategy. - Zhenglong Li 001; Jian Cheng 001; Qingshan Liu 001; Hanqing Lu (ACCV (2), 2007)

Face Mis-alignment Analysis by Multiple-Instance Subspace. - Zhiguo Li; Qingshan Liu 001; Dimitris N. Metaxas (ACCV (2), 2007)

A Unified Framework of Subspace and Distance Metric Learning for Face Recognition. - Qingshan Liu 001; Dimitris N. Metaxas (AMFG, 2007)

Topology-Preserved Diffusion Distance for Histogram Comparison. - Wang Yan; Qiqi Wang 001; Qingshan Liu 001; Hanqing Lu; Songde Ma (BMVC, 2007)

Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (CVPR, 2007)

A Component Based Deformable Model for Generalized Face Alignment. - Yuchi Huang; Qingshan Liu 001; Dimitris N. Metaxas (ICCV, 2007)

Image Annotation Refinement using NSC-Based Word Correlation. - Jing Liu 001; Mingjing Li; Qingshan Liu 001; Hanqing Lu; Songde Ma (ICME, 2007)

Robust Commercial Retrieval in Video Streams. - Jinqiao Wang; Lingyu Duan; Qingshan Liu 001; Hanqing Lu; Jesse S. Jin (ICME, 2007)

Facial Expression Recognition using Encoded Dynamic Features. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (ICME, 2007)

A New Multimedia Message Customizing Framework for mobile Devices. - Cunxun Zang; Qingshan Liu 001; Hanqing Lu; Kongqiao Wang (ICME, 2007)

Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy. - Sukmoon Chang; Jinghao Zhou; Qingshan Liu 001; Dimitris N. Metaxas; Bruce G. Haffty; Sung N. Kim; Salma J. Jabbour; Ning J. Yue (MICCAI (1), 2007)

Automatic TV Logo Detection, Tracking and Removal in Broadcast Video. - Jinqiao Wang; Qingshan Liu 001; Lingyu Duan; Hanqing Lu; Changsheng Xu (MMM (2), 2007)

An improved variable-size block-matching algorithm. - Haifeng Wang; Qingshan Liu 001; Hanqing Lu (Multim. Tools Appl., 2007)

Facial expression recognition using encoded dynamic features. - Peng Yang 001; Qingshan Liu 001; Xinyi Cui; Dimitris N. Metaxas (CVPR, 2008)

Similarity Features for Facial Event Analysis. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (ECCV (1), 2008)

Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification. - Qingshan Liu 001; Dimitris N. Metaxas (ETVC, 2008)

Human-centered image navigation on mobile devices. - Cunxun Zang; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu (ICME, 2008)

A variational inference based approach for image segmentation. - Zhenglong Li 001; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu (ICPR, 2008)

A Multilevel Contextual Approach to Change Detection for very high Resolution Images. - Chunlei Huo; Keming Chen; Zhixin Zhou; Hanqing Lu; Jian Cheng 001; Qingshan Liu 001 (IGARSS (4), 2008)

Urban Change Detection based on Local Features and Multiscale Fusion. - Chunlei Huo; Zhixin Zhou; Qingshan Liu 001; Jian Cheng 001; Hanqing Lu; Keming Chen (IGARSS (3), 2008)

A novel learning based segmentation method for rodent brain structures using MRI. - Jinghao Zhou; Sukmoon Chang; Qingshan Liu 001; George J. Pappas; Vasilios Boronikolas; Michael Michaelides; Nora D. Volkow; Panayotis K. Thanos; Dimitris N. Metaxas (ISBI, 2008)

Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis. - Zhen Qian; Qingshan Liu 001; Dimitris N. Metaxas; Leon Axel (MICCAI (1), 2008)

A new extension of kernel feature and its application for visual recognition. - Qingshan Liu 001; Hongliang Jin; Xiaoou Tang; Hanqing Lu; Songde Ma (Neurocomputing, 2008)

A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams. - Jinqiao Wang; Ling-Yu Duan; Qingshan Liu 001; Hanqing Lu; Jesse S. Jin (IEEE Trans. Multim., 2008)

Video object segmentation by hypergraph cut. - Yuchi Huang; Qingshan Liu 001; Dimitris N. Metaxas (CVPR, 2009)

RankBoost with l1 regularization for facial expression recognition and intensity estimation. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (ICCV, 2009)

Expanded bag of words representation for object classification. - Tinglin Liu; Jing Liu 001; Qingshan Liu 001; Hanqing Lu (ICIP, 2009)

A variational multi-view learning framework and its application to image segmentation. - Zhenglong Li 001; Qingshan Liu 001; Hanqing Lu (ICME, 2009)

Temporal spectral residual: fast motion saliency detection. - Xinyi Cui; Qingshan Liu 001; Dimitris N. Metaxas (ACM Multimedia, 2009)

Introduction to computer vision and image understanding the special issue on video analysis. - Qingshan Liu 001; Xuelong Li 001; Ahmed M. Elgammal; Xian-Sheng Hua 001; Dong Xu 001; Dacheng Tao (Comput. Vis. Image Underst., 2009)

Image annotation via graph learning. - Jing Liu 001; Mingjing Li; Qingshan Liu 001; Hanqing Lu; Songde Ma (Pattern Recognit., 2009)

Introduction to the special issue on Video-based Object and Event Analysis. - Shiguang Shan; Qingshan Liu 001; Dacheng Tao; Dong Xu 001; Shuicheng Yan; Xuelong Li 001 (Pattern Recognit. Lett., 2009)

Boosting encoded dynamic features for facial expression recognition. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (Pattern Recognit. Lett., 2009)

Image retrieval via probabilistic hypergraph ranking. - Yuchi Huang; Qingshan Liu 001; Shaoting Zhang 001; Dimitris N. Metaxas (CVPR, 2010)

Exploring facial expressions with compositional features. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (CVPR, 2010)

Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines. - Qingshan Liu 001; Zhen Qian; Idean Marvasty; Sarah Rinehart; Szilard Voros; Dimitris N. Metaxas (MICCAI (1), 2010)

Lennard-Jones force field for geometric active contour. - Zhenglong Li 001; Qingshan Liu 001; Hanqing Lu; Dimitris N. Metaxas (Signal Process., 2010)

Identifying medicine bottles by incorporating RFID and video analysis. - Faiz M. Hasanuzzaman; Yingli Tian; Qingshan Liu 001 (BIBM Workshops, 2011)

A Framework for the Recognition of Nonmanual Markers in Segmented Sequences of American Sign Language. - Nicholas Michael; Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas; Carol Neidle (BMVC, 2011)

Abnormal detection using interaction energy potentials. - Xinyi Cui; Qingshan Liu 001; Mingchen Gao; Dimitris N. Metaxas (CVPR, 2011)

Segment and recognize expression phase by fusion of motion area and neutral divergence features. - Shizhi Chen; Yingli Tian; Qingshan Liu 001; Dimitris N. Metaxas (FG, 2011)

Content quality based image retrieval with multiple instance boost ranking. - Peng Yang 001; Hui Li; Qingshan Liu 001; Lin Zhong 002; Dimitris N. Metaxas (ACM Multimedia, 2011)

Dynamic soft encoded patterns for facial event analysis. - Peng Yang 001; Qingshan Liu 001; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2011)

Unsupervised Image Categorization by Hypergraph Partition. - Yuchi Huang; Qingshan Liu 001; Fengjun Lv; Yihong Gong; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hypergraph with sampling for image retrieval. - Qingshan Liu 001; Yuchi Huang; Dimitris N. Metaxas (Pattern Recognit., 2011)

Identifying Regional Cardiac Abnormalities From Myocardial Strains Using Nontracking-Based Strain Estimation and Spatio-Temporal Tensor Analysis. - Zhen Qian; Qingshan Liu 001; Dimitris N. Metaxas; Leon Axel (IEEE Trans. Medical Imaging, 2011)

A Component-Based Framework for Generalized Face Alignment. - Yuchi Huang; Qingshan Liu 001; Dimitris N. Metaxas (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Learning ordinal discriminative features for age estimation. - Changsheng Li; Qingshan Liu 001; Jing Liu 001; Hanqing Lu (CVPR, 2012)

Learning active facial patches for expression analysis. - Lin Zhong 002; Qingshan Liu 001; Peng Yang 001; Bo Liu 005; Junzhou Huang; Dimitris N. Metaxas (CVPR, 2012)

Learning distance metric regression for facial age estimation. - Changsheng Li; Qingshan Liu 001; Jing Liu 001; Hanqing Lu (ICPR, 2012)

Ordinal preserving projection: a novel dimensionality reduction method for image ranking. - Changsheng Li; Jing Liu 001; Yan Liu 004; Changsheng Xu; Qingshan Liu 001; Hanqing Lu (ICMR, 2012)

Temporal Spectral Residual for fast salient motion detection. - Xinyi Cui; Qingshan Liu 001; Shaoting Zhang 001; Fei Yang 001; Dimitris N. Metaxas (Neurocomputing, 2012)

Special Section on Object and Event Classification in Large-Scale Video Collections. - Changsheng Xu; Alan Hanjalic; Shuicheng Yan; Qingshan Liu 001; Alan F. Smeaton (IEEE Trans. Multim., 2012)

A Weighted One Class Collaborative Filtering with Content Topic Features. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Qingshan Liu 001; Hanqing Lu (MMM (2), 2013)

Video event description in scene context. - Chunmei Liu; Changbo Hu; Qingshan Liu 001; J. K. Aggarwal (Neurocomputing, 2013)

Learning for scalable multimedia representation. - Qingshan Liu 001; Yueting Zhuang (Neurocomputing, 2013)

Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. - Shizhi Chen; Yingli Tian; Qingshan Liu 001; Dimitris N. Metaxas (Image Vis. Comput., 2013)

Monitoring activity of taking medicine by incorporating RFID and video analysis. - Faiz M. Hasanuzzaman; Xiaodong Yang 001; Yingli Tian; Qingshan Liu 001; Elizabeth Capezuti (Netw. Model. Anal. Health Informatics Bioinform., 2013)

Ordinal regularized manifold feature extraction for image ranking. - Changsheng Li; Qingshan Liu 001; Jing Liu 001; Hanqing Lu (Signal Process., 2013)

Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization. - Xiao-Tong Yuan; Qingshan Liu 001 (CVPR, 2014)

Fast Visual Tracking via Dense Spatio-temporal Context Learning. - Kaihua Zhang 001; Lei Zhang 006; Qingshan Liu 001; David Zhang 001; Ming-Hsuan Yang 001 (ECCV (5), 2014)

Multiple-Output Regression with High-Order Structure Information. - Changsheng Li; Lin Yang; Qingshan Liu 001; Fanjing Meng; Weishan Dong; Yu Wang 021; Jingmin Xu (ICPR, 2014)

Discriminative Context Models for Collective Activity Recognition. - Chaoyang Zhao; Wei Fu; Jinqiao Wang; Xiao Bai 001; Qingshan Liu 001; Hanqing Lu (ICPR, 2014)

MORES: Online Incremental Multiple-Output Regression for Data Streams. - Changsheng Li; Weishan Dong; Qingshan Liu 001; Xin Zhang 008 (CoRR, 2014)

Max-Margin based Discriminative Feature Learning. - Changsheng Li; Qingshan Liu 001; Weishan Dong; Xin Zhang 008; Lin Yang (CoRR, 2014)

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance. - Shengye Yan; Xinxing Xu; Qingshan Liu 001 (Int. J. Autom. Comput., 2014)

Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination. - Liguo Weng; Qingshan Liu 001; Min Xia 002; Yongduan Song (Neurocomputing, 2014)

Learning the object location, scale and view for image categorization with adapted classifier. - Shengye Yan; Xinxing Xu; Qingshan Liu 001 (Inf. Sci., 2014)

Learning Discriminative Dictionary for Group Sparse Representation. - Yubao Sun; Qingshan Liu 001; Jinhui Tang 001; Dacheng Tao (IEEE Trans. Image Process., 2014)

Convolutional Neural Networks for Clothes Categories. - Zhi Li; Yubao Sun; Feng Wang; Qingshan Liu 001 (CCCV (2), 2015)

Additive Nearest Neighbor Feature Maps. - Zhenzhen Wang; Xiao-Tong Yuan; Qingshan Liu 001; Shuicheng Yan (ICCV, 2015)

Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression. - Jing Yang 038; Jiankang Deng; Kaihua Zhang 001; Qingshan Liu 001 (ICCV Workshops, 2015)

Hierarchical Convolutional Neural Network for Face Detection. - Dong Wang; Jing Yang 038; Jiankang Deng; Qingshan Liu 001 (ICIG (2), 2015)

Active Sample Learning and Feature Selection: A Unified Approach. - Changsheng Li; Xiangfeng Wang; Weishan Dong; Junchi Yan; Qingshan Liu 001; Hongyuan Zha (CoRR, 2015)

Robust Tracking via Convolutional Networks without Learning. - Kaihua Zhang 001; Qingshan Liu 001; Yi Wu 001; Ming-Hsuan Yang 001 (CoRR, 2015)

Sparse random projection for χ2 kernel linearization: Algorithm and applications to image classification. - Zhenzhen Wang; Xiao-Tong Yuan; Qingshan Liu 001 (Neurocomputing, 2015)

Low rank driven robust facial landmark regression. - Jiankang Deng; Yubao Sun; Qingshan Liu 001; Hanqing Lu (Neurocomputing, 2015)

Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. - Liguo Weng; Min Xia 002; Wei Wang; Qingshan Liu 001 (Int. J. Syst. Sci., 2015)

基于稀疏级联回归的快速人脸配准方法及其在移动设备上的应用 (Fast Face Alignment Method Based on Sparse Cascade Regression and its Application on Mobile Devices). - Jiankang Deng; Jing Yang 038; Yubao Sun; Qingshan Liu 001 (计算机科学, 2015)

How friends affect user behaviors? An exploration of social relation analysis for recommendation. - Ting Yuan; Jian Cheng 001; Xi Zhang 018; Qingshan Liu 001; Hanqing Lu (Knowl. Based Syst., 2015)

Inferring occluded features for fast object detection. - Shengye Yan; Qingshan Liu 001 (Signal Process., 2015)

Human Age Estimation Based on Locality and Ordinal Information. - Changsheng Li; Qingshan Liu 001; Weishan Dong; Xiaobin Zhu 001; Jing Liu 001; Hanqing Lu (IEEE Trans. Cybern., 2015)

A Variational Approach to Simultaneous Image Segmentation and Bias Correction. - Kaihua Zhang 001; Qingshan Liu 001; Huihui Song; Xuelong Li 001 (IEEE Trans. Cybern., 2015)

Learning Multiscale Active Facial Patches for Expression Analysis. - Lin Zhong 002; Qingshan Liu 001; Peng Yang 001; Junzhou Huang; Dimitris N. Metaxas (IEEE Trans. Cybern., 2015)

Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution. - Huihui Song; Bo Huang 001; Qingshan Liu 001; Kaihua Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

Ordinal Distance Metric Learning for Image Ranking. - Changsheng Li; Qingshan Liu 001; Jing Liu 001; Hanqing Lu (IEEE Trans. Neural Networks Learn. Syst., 2015)

Spatially Regularized Streaming Sensor Selection. - Changsheng Li; Fan Wei; Weishan Dong; Xiangfeng Wang; Junchi Yan; Xiaobin Zhu 001; Qingshan Liu 001; Xin Zhang 008 (AAAI, 2016)

Decentralized Robust Subspace Clustering. - Bo Liu 005; Xiao-Tong Yuan; Yang Yu 010; Qingshan Liu 001; Dimitris N. Metaxas (AAAI, 2016)

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method. - Bo Liu 005; Xiao-Tong Yuan; Shaoting Zhang 001; Qingshan Liu 001; Dimitris N. Metaxas (IJCAI, 2016)

Advancing Iterative Quantization Hashing Using Isotropic Prior. - Lai Li; Guangcan Liu; Qingshan Liu 001 (MMM (2), 2016)

Learning Additive Exponential Family Graphical Models via ell_{2, 1}-norm Regularized M-Estimation. - Xiao-Tong Yuan; Ping Li 001; Tong Zhang 001; Qingshan Liu 001; Guangcan Liu (NIPS, 2016)

A Self-Paced Regularization Framework for Multi-Label Learning. - Changsheng Li; Fan Wei; Junchi Yan; Weishan Dong; Qingshan Liu 001; Xiaoyu Zhang 002 (CoRR, 2016)

Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification. - Qingshan Liu 001; Renlong Hang; Huihui Song; Zhi Li (CoRR, 2016)

Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification. - Qingshan Liu 001; Renlong Hang; Huihui Song; Fuping Zhu; Javier Plaza; Antonio Plaza (CoRR, 2016)

Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval. - Yubao Sun; Renlong Hang; Qingshan Liu 001; Fuping Zhu; Hucheng Pei (CoRR, 2016)

Visual Tracking via Boolean Map Representations. - Kaihua Zhang 001; Qingshan Liu 001; Ming-Hsuan Yang 001 (CoRR, 2016)

Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning. - Kaihua Zhang 001; Xuejun Li; Qingshan Liu 001 (CoRR, 2016)

Robust object tracking by online Fisher discrimination boosting feature selection. - Jing Yang 038; Kaihua Zhang 001; Qingshan Liu 001 (Comput. Vis. Image Underst., 2016)

Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble. - Wei Chen; Kaihua Zhang 001; Qingshan Liu 001 (Neurocomputing, 2016)

M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression. - Jiankang Deng; Qingshan Liu 001; Jing Yang 038; Dacheng Tao (Image Vis. Comput., 2016)

A Deterministic Analysis for LRR. - Guangcan Liu; Huan Xu 001; Jinhui Tang 001; Qingshan Liu 001; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

FaceHunter: A multi-task convolutional neural network based face detector. - Dong Wang; Jing Yang 038; Jiankang Deng; Qingshan Liu 001 (Signal Process. Image Commun., 2016)

Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion. - Renlong Hang; Qingshan Liu 001; Huihui Song; Yubao Sun (IEEE Trans. Geosci. Remote. Sens., 2016)

Dual Sparse Constrained Cascade Regression for Robust Face Alignment. - Qingshan Liu 001; Jiankang Deng; Dacheng Tao (IEEE Trans. Image Process., 2016)

Robust Visual Tracking via Convolutional Networks Without Training. - Kaihua Zhang 001; Qingshan Liu 001; Yi Wu 001; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2016)

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. - Jun Xu 005; Lei Xiang; Qingshan Liu 001; Hannah Gilmore; Jianzhong Wu; Jinghai Tang; Anant Madabhushi (IEEE Trans. Medical Imaging, 2016)

Max-Margin-Based Discriminative Feature Learning. - Changsheng Li; Qingshan Liu 001; Weishan Dong; Fan Wei; Xin Zhang 008; Lin Yang (IEEE Trans. Neural Networks Learn. Syst., 2016)

Efficient χ2 Kernel Linearization via Random Feature Maps. - Xiao-Tong Yuan; Zhenzhen Wang; Jiankang Deng; Qingshan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Self-Paced Multi-Task Learning. - Changsheng Li; Junchi Yan; Fan Wei; Weishan Dong; Qingshan Liu 001; Hongyuan Zha (AAAI, 2017)

Stacked Hourglass Network for Robust Facial Landmark Localisation. - Jing Yang 038; Qingshan Liu 001; Kaihua Zhang 001 (CVPR Workshops, 2017)

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization. - Bo Liu 005; Xiao-Tong Yuan; Lezi Wang; Qingshan Liu 001; Dimitris N. Metaxas (ICML, 2017)

Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification. - Mercedes Eugenia Paoletti; Juan Mario Haut; Javier Plaza; Antonio Plaza; Qingshan Liu 001; Renlong Hang (IGARSS, 2017)

A New Theory for Matrix Completion. - Guangcan Liu; Qingshan Liu 001; Xiaotong Yuan (NIPS, 2017)

Face image retrieval based on shape and texture feature fusion. - Zongguang Lu; Jing Yang 038; Qingshan Liu 001 (Comput. Vis. Media, 2017)

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit. - Guangcan Liu; Qingshan Liu 001; Ping Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Newton-Type Greedy Selection Methods for ℓ0-Constrained Minimization. - Xiao-Tong Yuan; Qingshan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Robust facial landmark tracking via cascade regression. - Qingshan Liu 001; Jing Yang 038; Jiankang Deng; Kaihua Zhang 001 (Pattern Recognit., 2017)

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification. - Qingshan Liu 001; Feng Zhou 006; Renlong Hang; Xiaotong Yuan (Remote. Sens., 2017)

Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images. - Yubao Sun; Sujuan Wang; Qingshan Liu 001; Renlong Hang; Guangcan Liu (Remote. Sens., 2017)

Spatial-Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification. - Qingshan Liu 001; Yubao Sun; Renlong Hang; Huihui Song (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis. - Renlong Hang; Qingshan Liu 001; Huihui Song; Yubao Sun; Fuping Zhu; Hucheng Pei (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images. - Renlong Hang; Qingshan Liu 001; Yubao Sun; Xiaotong Yuan; Hucheng Pei; Javier Plaza; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Improving the Spatial Resolution of FY-3 Microwave Radiation Imager via Fusion With FY-3/MERSI. - Huihui Song; Guojie Wang; Anjie Cao; Qingshan Liu 001; Bo Huang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Adaptive Compressive Tracking via Online Vector Boosting Feature Selection. - Qingshan Liu 001; Jing Yang 038; Kaihua Zhang 001; Yi Wu 001 (IEEE Trans. Cybern., 2017)

Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition. - Bo Liu 005; Xiao-Tong Yuan; Yang Yu 010; Qingshan Liu 001; Dimitris N. Metaxas (ACM Trans. Embed. Comput. Syst., 2017)

Adaptive Cascade Regression Model For Robust Face Alignment. - Qingshan Liu 001; Jiankang Deng; Jing Yang 038; Guangcan Liu; Dacheng Tao (IEEE Trans. Image Process., 2017)

Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification. - Qingshan Liu 001; Yubao Sun; Cantian Wang; Tongliang Liu; Dacheng Tao (IEEE Trans. Image Process., 2017)

Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. - Jun Xu 005; Chao Zhou; Bing Lang; Qingshan Liu 001 (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment. - Zhenni Cai; Qingshan Liu 001; Shanmin Wang; Bruce Yang (ICPR, 2018)

Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (PRCV (4), 2018)

Complementary Tracking via Dual Color Clustering and Spatio-Temporal Regularized Correlation Learning. - Jiaqing Fan; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001; Wei Lian (IEEE Access, 2018)

Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection. - Hui Shuai; Qingshan Liu 001; Kaihua Zhang 001; Jing Yang 038; Jiankang Deng (IEEE Access, 2018)

Fast and Robust Subspace Clustering Using Random Projections. - Guangcan Liu; Qingshan Liu 001; Yubao Sun; Zhao Zhang 001; Meng Wang 001 (CoRR, 2018)

Matrix Completion with Nonuniform Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (CoRR, 2018)

Fast subspace segmentation via Random Sample Probing. - Yang Li 039; Yubao Sun; Qingshan Liu 001; Shengyong Chen (Neurocomputing, 2018)

Multi-component group sparse RPCA model for motion object detection under complex dynamic background. - Min Wu; Yubao Sun; Renlong Hang; Qingshan Liu 001; Guangcan Liu (Neurocomputing, 2018)

Spatio-temporal convolutional features with nested LSTM for facial expression recognition. - Zhenbo Yu; Guangcan Liu; Qingshan Liu 001; Jiankang Deng (Neurocomputing, 2018)

Visual tracking using spatio-temporally nonlocally regularized correlation filter. - Kaihua Zhang 001; Xuejun Li; Huihui Song; Qingshan Liu 001; Wei Lian (Pattern Recognit., 2018)

Visual tracking via Boolean map representations. - Kaihua Zhang 001; Qingshan Liu 001; Jian Yang 003; Ming-Hsuan Yang 001 (Pattern Recognit., 2018)

Saliency fusion via sparse and double low rank decomposition. - Junxia Li; Jian Yang 003; Chen Gong 002; Qingshan Liu 001 (Pattern Recognit. Lett., 2018)

Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations. - Lingling Ge; Renlong Hang; Yi Liu 046; Qingshan Liu 001 (Remote. Sens., 2018)

Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding. - Renlong Hang; Qingshan Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks. - Huihui Song; Qingshan Liu 001; Guojie Wang; Renlong Hang; Bo Huang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Visual Tracking via Nonlocal Similarity Learning. - Qingshan Liu 001; Jiaqing Fan; Huihui Song; Wei Chen; Kaihua Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification. - Qingshan Liu 001; Renlong Hang; Huihui Song; Zhi Li (IEEE Trans. Geosci. Remote. Sens., 2018)

Nonlinear Low-Rank Matrix Completion for Human Motion Recovery. - Guiyu Xia; Huaijiang Sun; Beijia Chen; Qingshan Liu 001; Lei Feng 003; Guoqing Zhang 002; Renlong Hang (IEEE Trans. Image Process., 2018)

A Self-Paced Regularization Framework for Multilabel Learning. - Changsheng Li; Fan Wei; Junchi Yan; Xiaoyu Zhang 002; Qingshan Liu 001; Hongyuan Zha (IEEE Trans. Neural Networks Learn. Syst., 2018)

Reversed Spectral Hashing. - Qingshan Liu 001; Guangcan Liu; Lai Li; Xiao-Tong Yuan; Meng Wang 001; Wei Liu 005 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. - Bo Liu 005; Xiao-Tong Yuan; Lezi Wang; Qingshan Liu 001; Junzhou Huang; Dimitris N. Metaxas (AISTATS, 2019)

Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing. - Kaihua Zhang 001; Tengpeng Li; Bo Liu 005; Qingshan Liu 001 (CVPR, 2019)

PointNet-Based Channel Attention VLAD Network. - Rongrong Fan; Hui Shuai; Qingshan Liu 001 (PRCV (3), 2019)

Local Context Embedding Neural Network for Scene Semantic Segmentation. - Junxia Li; Lingzheng Dai; Yu Ding; Qingshan Liu 001 (PRCV (2), 2019)

Image super-resolution using conditional generative adversarial network. - Jiaojiao Qiao; Huihui Song; Kaihua Zhang 001; Xiaolu Zhang; Qingshan Liu 001 (IET Image Process., 2019)

Moving object detection via segmentation and saliency constrained RPCA. - Yang Li 039; Guangcan Liu; Qingshan Liu 001; Yubao Sun; Shengyong Chen (Neurocomputing, 2019)

Hyperspectral image classification using spectral-spatial LSTMs. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (Neurocomputing, 2019)

实时高置信度更新补充学习跟踪 (Real-time High-confidence Update Complementary Learner Tracking). - Rongrong Fan; Jiaqing Fan; Qingshan Liu 001 (计算机科学, 2019)

Retrieving Soil Moisture Over Continental U.S. via Multi-View Multi-Task Learning. - Lingling Ge; Renlong Hang; Qingshan Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Low-rank weighted co-saliency detection via efficient manifold ranking. - Tengpeng Li; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001; Wei Lian (Multim. Tools Appl., 2019)

Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data. - Changsheng Li; Fan Wei; Weishan Dong; Xiangfeng Wang; Qingshan Liu 001; Xin Zhang 008 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Joint Active Learning with Feature Selection via CUR Matrix Decomposition. - Changsheng Li; Xiangfeng Wang; Weishan Dong; Junchi Yan; Qingshan Liu 001; Hongyuan Zha (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. - Peixian Zhuang; Qingshan Liu 001; Xinghao Ding (Signal Process., 2019)

Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001; Xiaotong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. - Renlong Hang; Qingshan Liu 001; Danfeng Hong; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2019)

Learning-Based Sphere Nonlinear Interpolation for Motion Synthesis. - Guiyu Xia; Huaijiang Sun; Qingshan Liu 001; Renlong Hang (IEEE Trans. Ind. Informatics, 2019)

Robust Subspace Clustering With Compressed Data. - Guangcan Liu; Zhao Zhang 001; Qingshan Liu 001; Hongkai Xiong (IEEE Trans. Image Process., 2019)

Parallel Attentive Correlation Tracking. - Kaihua Zhang 001; Jiaqing Fan; Qingshan Liu 001; Jian Yang 003; Wei Lian (IEEE Trans. Image Process., 2019)

Deep Object Co-Segmentation via Spatial-Semantic Network Modulation. - Kaihua Zhang 001; Jin Chen; Bo Liu 005; Qingshan Liu 001 (AAAI, 2020)

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection. - Kaihua Zhang 001; Tengpeng Li; Shiwen Shen; Bo Liu 005; Jin Chen; Qingshan Liu 001 (CVPR, 2020)

Learning Memory Augmented Cascading Network for Compressed Sensing of Images. - Jiwei Chen; Yubao Sun; Qingshan Liu 001; Rui Huang 001 (ECCV (22), 2020)

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. - Xiangyu He; Zitao Mo; Ke Cheng 002; Weixiang Xu; Qinghao Hu 001; Peisong Wang; Qingshan Liu 001; Jian Cheng 001 (ECCV (3), 2020)

Meta-learning with Network Pruning. - Hongduan Tian; Bo Liu 005; Xiao-Tong Yuan; Qingshan Liu 001 (ECCV (19), 2020)

Prinet: A Prior Driven Spectral Super-Resolution Network. - Renlong Hang; Zhu Li 001; Qingshan Liu 001; Shuvra S. Bhattacharyya (ICME, 2020)

Dual Temporal Memory Network for Efficient Video Object Segmentation. - Kaihua Zhang 001; Long Wang; Dong Liu 002; Bo Liu 005; Qingshan Liu 001; Zhu Li 001 (ACM Multimedia, 2020)

Top-Down Fusing Multi-level Contextual Features for Salient Object Detection. - Mingyuan Pan; Huihui Song; Junxia Li; Kaihua Zhang 001; Qingshan Liu 001 (PRCV (3), 2020)

Learning lightweight Multi-Scale Feedback Residual network for single image super-resolution. - Wenjie Xu; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001; Jia Liu (Comput. Vis. Image Underst., 2020)

Real-time manifold regularized context-aware correlation tracking. - Jiaqing Fan; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001; Fei Yan; Wei Lian (Frontiers Comput. Sci., 2020)

Flow driven attention network for video salient object detection. - Feng Zhou 006; Hui Shuai; Qingshan Liu 001; Guodong Guo (IET Image Process., 2020)

Recurrent reverse attention guided residual learning for saliency object detection. - Tengpeng Li; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001 (Neurocomputing, 2020)

Single image super-resolution with enhanced Laplacian pyramid network via conditional generative adversarial learning. - Xiaolu Zhang; Huihui Song; Kaihua Zhang 001; Jiaojiao Qiao; Qingshan Liu 001 (Neurocomputing, 2020)

Dual Iterative Hard Thresholding. - Xiao-Tong Yuan; Bo Liu 005; Lezi Wang; Qingshan Liu 001; Dimitris N. Metaxas (J. Mach. Learn. Res., 2020)

Hierarchical attentive Siamese network for real-time visual tracking. - Kang Yang; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001 (Neural Comput. Appl., 2020)

Learning residual refinement network with semantic context representation for real-time saliency object detection. - Tengpeng Li; Huihui Song; Kaihua Zhang 001; Qingshan Liu 001 (Pattern Recognit., 2020)

Learning image compressed sensing with sub-pixel convolutional generative adversarial network. - Yubao Sun; Jiwei Chen; Qingshan Liu 001; Guangcan Liu (Pattern Recognit., 2020)

Selecting Optimal Completion to Partial Matrix via Self-Validation. - Xin Wang; Guangcan Liu; Wayne Zhang 001; Qingshan Liu 001 (IEEE Signal Process. Lett., 2020)

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. - Renlong Hang; Zhu Li 001; Pedram Ghamisi; Danfeng Hong; Guiyu Xia; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images. - Rui Zhang 049; Qingshan Liu 001; Renlong Hang (IEEE Trans. Geosci. Remote. Sens., 2020)

Dual-Path Attention Network for Compressed Sensing Image Reconstruction. - Yubao Sun; Jiwei Chen; Qingshan Liu 001; Bo Liu 005; Guodong Guo (IEEE Trans. Image Process., 2020)

Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting. - Yubao Sun; Ying Yang; Qingshan Liu 001; Jiwei Chen; Xiao-Tong Yuan; Guodong Guo (IEEE Trans. Multim., 2020)

Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. - Zengqun Zhao; Qingshan Liu 001; Feng Zhou 006 (AAAI, 2021)

Causal Intervention Learning for Multi-person Pose Estimation. - Luhui Yue; Junxia Li; Qingshan Liu 001 (ACPR (1), 2021)

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. - Kaihua Zhang 001; Mingliang Dong; Bo Liu 005; Xiao-Tong Yuan; Qingshan Liu 001 (CVPR, 2021)

Deep Transport Network for Unsupervised Video Object Segmentation. - Kaihua Zhang 001; Zicheng Zhao; Dong Liu 002; Qingshan Liu 001; Bo Liu 005 (ICCV, 2021)

Former-DFER: Dynamic Facial Expression Recognition Transformer. - Zengqun Zhao; Qingshan Liu 001 (ACM Multimedia, 2021)

Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation. - Hui Shuai; Lele Wu; Qingshan Liu 001 (CoRR, 2021)

Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor. - Qi Zhao; Guangcan Liu; Qingshan Liu 001 (Neurocomputing, 2021)

Likelihood-constrained coupled space learning for motion synthesis. - Guiyu Xia; Peng Xue; Du Zhang; Qingshan Liu 001 (Inf. Sci., 2021)

Body parts relevance learning via expectation-maximization for human pose estimation. - Luhui Yue; Junxia Li; Qingshan Liu 001 (Multim. Syst., 2021)

Matrix Completion with Deterministic Sampling: Theories and Methods. - Guangcan Liu; Qingshan Liu 001; Xiao-Tong Yuan; Meng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Video saliency prediction using enhanced spatiotemporal alignment network. - Jin Chen; Huihui Song; Kaihua Zhang 001; Bo Liu 005; Qingshan Liu 001 (Pattern Recognit., 2021)

Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking. - Jiaqing Fan; Huihui Song; Kaihua Zhang 001; Kang Yang; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Hyperspectral Image Classification With Attention-Aided CNNs. - Renlong Hang; Zhu Li 001; Qingshan Liu 001; Pedram Ghamisi; Shuvra S. Bhattacharyya (IEEE Trans. Geosci. Remote. Sens., 2021)

Classification of Hyperspectral Images via Multitask Generative Adversarial Networks. - Renlong Hang; Feng Zhou 006; Qingshan Liu 001; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2021)

Class-Guided Feature Decoupling Network for Airborne Image Segmentation. - Feng Zhou 006; Renlong Hang; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery. - Renlong Hang; Qingshan Liu 001; Zhu Li 001 (IEEE Trans. Image Process., 2021)

Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation. - Hui Shuai; Xiang Xu 009; Qingshan Liu 001 (IEEE Trans. Image Process., 2021)

Multi-Stage Feature Fusion Network for Video Super-Resolution. - Huihui Song; Wenjie Xu; Dong Liu 002; Bo Liu 005; Qingshan Liu 001; Dimitris N. Metaxas (IEEE Trans. Image Process., 2021)

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild. - Zengqun Zhao; Qingshan Liu 001; Shanmin Wang (IEEE Trans. Image Process., 2021)

Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations. - Qi Zhao; Chuqiao Chen; Guangcan Liu; Qingshan Liu 001; Shengyong Chen (ACM Trans. Intell. Syst. Technol., 2021)

Collaborative Local-Global Learning for Temporal Action Proposal. - Yisheng Zhu; Hu Han 001; Guangcan Liu; Qingshan Liu 001 (ACM Trans. Intell. Syst. Technol., 2021)

Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection. - Junxia Li; Zefeng Pan; Qingshan Liu 001; Ziyang Wang (IEEE Trans. Multim., 2021)

Unsupervised Network Quantization via Fixed-Point Factorization. - Peisong Wang; Xiangyu He; Qiang Chen 007; Anda Cheng; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation. - Guiyu Xia; Beijia Chen; Huaijiang Sun; Qingshan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

3D Tensor Auto-encoder with Application to Video Compression. - Yang Li 039; Guangcan Liu; Yubao Sun; Qingshan Liu 001; Shengyong Chen (ACM Trans. Multim. Comput. Commun. Appl., 2021)

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. - Xuwei Qian; Renlong Hang; Qingshan Liu 001 (AAAI, 2022)

Transformer-based Residual Network for Hyperspectral Snapshot Compressive Reconstruction. - Junru Huang; Yubao Sun; Jiaxuan Wen; Qingshan Liu 001 (ICPR, 2022)

Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation. - Jiaqing Fan; Tiankang Su; Kaihua Zhang 001; Qingshan Liu 001 (ACM Multimedia, 2022)

Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation. - Hui Shuai; Xiang Xu 009; Qingshan Liu 001 (PRCV (3), 2022)

SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification. - Yuan Yuan 026; Lei Lin 002; Qingshan Liu 001; Renlong Hang; Zengguang Zhou (Int. J. Appl. Earth Obs. Geoinformation, 2022)

CED-Net: contextual encoder-decoder network for 3D face reconstruction. - Lei Zhu; Shanmin Wang; Zengqun Zhao; Xiang Xu 009; Qingshan Liu 001 (Multim. Syst., 2022)

Learning interlaced sparse Sinkhorn matching network for video super-resolution. - Huihui Song; Yutong Jin; Yong Cheng; Bo Liu 005; Dong Liu 002; Qingshan Liu 001 (Pattern Recognit., 2022)

Phase Space Reconstruction Driven Spatio-Temporal Feature Learning for Dynamic Facial Expression Recognition. - Shanmin Wang; Hui Shuai; Qingshan Liu 001 (IEEE Trans. Affect. Comput., 2022)

Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Correspondence. - Jiaqing Fan; Bo Liu 005; Kaihua Zhang 001; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Spatial Consistency Constrained GAN for Human Motion Transfer. - Furong Ma; Guiyu Xia; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Video Snapshot Compressive Imaging Using Residual Ensemble Network. - Yubao Sun; Xunhao Chen; Mohan S. Kankanhalli; Qingshan Liu 001; Junxia Li (IEEE Trans. Circuits Syst. Video Technol., 2022)

Keyframe-Editable Real-Time Motion Synthesis. - Guiyu Xia; Peng Xue; Du Zhang; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering. - Yisheng Zhu; Hui Shuai; Guangcan Liu; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Complementarity-Aware Attention Network for Salient Object Detection. - Junxia Li; Zefeng Pan; Qingshan Liu 001; Ying Cui; Yubao Sun (IEEE Trans. Cybern., 2022)

Hierarchical Context Network for Airborne Image Segmentation. - Feng Zhou 006; Renlong Hang; Hui Shuai; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Cross-Modality Contrastive Learning for Hyperspectral Image Classification. - Renlong Hang; Xuwei Qian; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery. - Renlong Hang; Ping Yang; Feng Zhou 006; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Spatial-Spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. - Yubao Sun; Ying Yang; Qingshan Liu 001; Mohan S. Kankanhalli (IEEE Trans. Geosci. Remote. Sens., 2022)

Global Tropical Cyclone Precipitation Estimation via a Multitask Convolutional Neural Network Based on HURSAT-B1 Data. - Mei Xue; Renlong Hang; Xiao-Tong Yuan; Pengfei Xiao; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin. - Rui Zhang 049; Qingshan Liu 001; Renlong Hang; Guangcan Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

Limb Pose Aware Networks for Monocular 3D Pose Estimation. - Lele Wu; Zhenbo Yu; Yijiang Liu; Qingshan Liu 001 (IEEE Trans. Image Process., 2022)

Local Self-Expression Subspace Learning Network for Motion Capture Data. - Guiyu Xia; Peng Xue; Huaijiang Sun; Yubao Sun; Du Zhang; Qingshan Liu 001 (IEEE Trans. Image Process., 2022)

Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network. - Tengpeng Li; Kaihua Zhang 001; Shiwen Shen; Bo Liu 005; Qingshan Liu 001; Zhu Li 001 (IEEE Trans. Multim., 2022)

ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition. - Chengguang Liu; Shanmin Wang; Hui Shuai; Qingshan Liu 001 (ICIG (4), 2023)

Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation. - Jiaqing Fan; Tiankang Su; Kaihua Zhang 001; Bo Liu 005; Qingshan Liu 001 (ACM Multimedia, 2023)

Crowd Counting with Online Knowledge Learning. - Shengqin Jiang; Bowen Li; Fengna Cheng; Qingshan Liu 001 (CoRR, 2023)

Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning. - Shengqin Jiang; Yaoyu Fang; Haokui Zhang; Peng Wang 023; Yuankai Qi; Qingshan Liu 001 (CoRR, 2023)

Intellectual property protection for deep semantic segmentation models. - Hongjia Ruan; Huihui Song; Bo Liu 005; Yong Cheng; Qingshan Liu 001 (Frontiers Comput. Sci., 2023)

Optimization-Based Post-Training Quantization With Bit-Split and Stitching. - Peisong Wang; Weihan Chen; Xiangyu He; Qiang Chen 007; Qingshan Liu 001; Jian Cheng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network. - Guangyu Liu 002; Rui Zhang 049; Renlong Hang; Lingling Ge; Chunxiang Shi; Qingshan Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Bias-Based Soft Label Learning for Facial Expression Recognition. - Shanmin Wang; Hui Shuai; Chengguang Liu; Qingshan Liu 001 (IEEE Trans. Affect. Comput., 2023)

Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images. - Huan Ni; Qingshan Liu 001; Haiyan Guan; Hong Tang 002; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2023)

Geometry-Injected Image-Based Point Cloud Semantic Segmentation. - Hui Shuai; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection. - Feng Zhou 006; Chao Xu; Renlong Hang; Rui Zhang 049; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition. - Yisheng Zhu; Hui Shuai; Guangcan Liu; Qingshan Liu 001 (IEEE Trans. Image Process., 2023)

Deep Object Co-Segmentation and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation. - Kaihua Zhang 001; Yang Wu; Mingliang Dong; Bo Liu 005; Dong Liu 002; Qingshan Liu 001 (IEEE Trans. Multim., 2023)

Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation. - Hui Shuai; Lele Wu; Qingshan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Pose-Driven Realistic 2-D Motion Synthesis. - Guiyu Xia; Furong Ma; Qingshan Liu 001; Du Zhang (IEEE Trans. Cybern., 2023)

MSNet: Multi-Resolution Synergistic Networks for Adaptive Inference. - Renlong Hang; Xuwei Qian; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection. - Yan Liu 004; Kaihua Zhang 001; Yaqian Zhao; Hu Chen; Qingshan Liu 001 (Pattern Recognit., 2023)

3D Information Guided Motion Transfer via Sequential Image Based Human Model Refinement and Face-Attention GAN. - Guiyu Xia; Dong Luo; Zeyuan Zhang; Yubao Sun; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection. - Junxia Li; Ziyang Wang; Zefeng Pan; Qingshan Liu 001; Dongyan Guo (IEEE Trans. Neural Networks Learn. Syst., 2023)

Human pose transfer via shape-aware partial flow prediction network. - Furong Ma; Guiyu Xia; Qingshan Liu 001 (Multim. Syst., 2023)

PointAttN: You Only Need Attention for Point Cloud Completion. - Jun Wang; Ying Cui; Dongyan Guo; Junxia Li; Qingshan Liu 001; Chunhua Shen (AAAI, 2024)

4D Contrastive Superflows are Dense 3D Representation Learners. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; Qingshan Liu 001 (ECCV (1), 2024)

Cooperative Sentiment Agents for Multimodal Sentiment Analysis. - Shanmin Wang; Hui Shuai; Qingshan Liu 001; Fei Wang (CoRR, 2024)

3D human model guided pose transfer via progressive flow prediction network. - Furong Ma; Guiyu Xia; Qingshan Liu 001 (J. Vis. Commun. Image Represent., 2024)

DiFormer: A Difference Transformer Network for Remote Sensing Change Detection. - Hui Lin; Renlong Hang; Shanmin Wang; Qingshan Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2024)

Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning. - Zefeng Pan; Fanfan Ji; Yunlong Zhou; Renlong Hang; Qingshan Liu 001; Xiao-Tong Yuan (IEEE Geosci. Remote. Sens. Lett., 2024)

Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting. - Yunlong Zhou; Renlong Hang; Fanfan Ji; Zefeng Pan; Qingshan Liu 001; Xiao-Tong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Regionally Indicated Visual Grounding Network for Remote Sensing Images. - Renlong Hang; Siqi Xu; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

AANet: An Ambiguity-Aware Network for Remote-Sensing Image Change Detection. - Renlong Hang; Siqi Xu; Panli Yuan; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Closed-Loop Circular Regression Network for 2-m Air Temperature Downscaling Over Southwestern China. - Guangyu Liu 002; Renlong Hang; Rui Zhang 049; Chunxiang Shi; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Short-Long Term Sequence Learning Network for Precipitation Nowcasting. - Zefeng Pan; Renlong Hang; Qingshan Liu 001; Xiao-Tong Yuan (IEEE Trans. Geosci. Remote. Sens., 2024)

Real-Time Statistical Weather Estimation and Prediction for Tropical Cyclone Intensity in an Interpretable Manner via Causal Inference. - Luhui Yue; Rui Zhang 049; Jiamu Ding; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Estimating Tropical Cyclone Intensity Using an STIA Model From Himawari-8 Satellite Images in the Western North Pacific Basin. - Rui Zhang 049; Yingjie Liu; Luhui Yue; Qingshan Liu 001; Renlong Hang (IEEE Trans. Geosci. Remote. Sens., 2024)

Predicting Tropical Cyclone Rapid Intensification in Western North Pacific Basin Using a TDA-RI Model From Digital Typhoon Dataset. - Rui Zhang 049; Lei Zhou; Luhui Yue; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Masked Spectral-Spatial Feature Prediction for Hyperspectral Image Classification. - Feng Zhou 006; Chao Xu; Guowei Yang 002; Renlong Hang; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data. - Fanfan Ji; Xiao-Tong Yuan; Qingshan Liu 001 (IEEE Trans. Multim., 2024)

Adaptive Activation Network for Weakly Supervised Semantic Segmentation. - Junxia Li; Deshuo Shi; Ying Cui; Dongyan Guo; Qingshan Liu 001 (IEEE Trans. Multim., 2024)

A Unified Object Counting Network With Object Occupation Prior. - Shengqin Jiang; Qing Wang; Fengna Cheng; Yuankai Qi; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis. - Guiyu Xia; Peng Xue; Du Zhang; Qingshan Liu 001; Yubao Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Motion Compression Using Structurally Connected Neural Network. - Guiyu Xia; Wenkai Ye; Peng Xue; Yubao Sun; Qingshan Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network. - Yubao Sun; Jihui Tang; Qingshan Liu 001; Zhendong Zhang; Liang Huang (IEEE Trans. Intell. Transp. Syst., 2024)

Compare and Focus: Multi-Scale View Aggregation for Crowd Counting. - Shengqin Jiang; Jialu Cai; Haokui Zhang; Yu Liu 029; Qingshan Liu 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. - You-Wei Luo; Chuan-Xian Ren; Xiao-Lin Xu; Qingshan Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Liang Pan; Ziwei Liu 002; Qingshan Liu 001 (CVPR, 2025)

Text-driven human image generation with texture and pose control. - Zhedong Jin; Guiyu Xia; Paike Yang; Mengxiang Wang; Yubao Sun; Qingshan Liu 001 (Neurocomputing, 2025)

DuPt: Rehearsal-based continual learning with dual prompts. - Shengqin Jiang; Daolong Zhang; Fengna Cheng; Xiaobo Lu; Qingshan Liu 001 (Neural Networks, 2025)

Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting. - Zefeng Pan; Renlong Hang; Qingshan Liu 001; Chunxiang Shi; Zhiqiang Xu 003; Xiao-Tong Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

An Empirical Study on Data Augmentation for Pixelwise Satellite Image Time-Series Classification and Cross-Year Adaptation. - Yuan Yuan 026; Lei Lin 002; Qi Xin; Zengguang Zhou; Qingshan Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Text-Augmented Semantic Feature Extraction and Difference Information Learning for Remote Sensing Image Change Captioning. - Renlong Hang; Jinyu Luo; Hui Lin; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Remote Sensing Object Counting With Online Knowledge Learning. - Shengqin Jiang; Yuan Gao; Bowen Li; Fengna Cheng; Renlong Hang; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-Granularity Aggregation Network for Remote Sensing Few-Shot Segmentation. - Shi-Feng Peng; Guo-Sen Xie; Fang Zhao 006; Xiangbo Shu; Qingshan Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Qingshan Liu 001 (IEEE Trans. Image Process., 2025)

Spatial-Temporal Interleaved Network for Efficient Action Recognition. - Shengqin Jiang; Haokui Zhang; Yuankai Qi; Qingshan Liu 001 (IEEE Trans. Ind. Informatics, 2025)

SuperFlow++: Enhanced Spatiotemporal Consistency for Cross-Modal Data Pretraining. - Xiang Xu 009; Lingdong Kong; Hui Shuai; Wenwei Zhang; Liang Pan; Kai Chen 026; Ziwei Liu 002; Qingshan Liu 001 (CoRR, 2025)

ProgRoCC: A Progressive Approach to Rough Crowd Counting. - Shengqin Jiang; Linfei Li; Haokui Zhang; Qingshan Liu 001; Amin Beheshti; Jian Yang 001; Anton van den Hengel; Quan Z. Sheng; Yuankai Qi (CoRR, 2025)

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations. - Xiang Xu 009; Lingdong Kong; Song Wang; Chuanwei Zhou; Qingshan Liu 001 (CoRR, 2025)