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Sun,P.,Wu,X.J.,Li,S.Y.,Lin,W.P.,Huang,J.Z.,and Li,X*.,“Real-Time Semantic Segmentation via Auto Depth,Downsampling Joint Decision and Feature Aggregation“,International Journal of Computer Vision(IJCV),2021.(Accepted)[Paper]
Sun,P.,Zhang,W.H.,Wang,H.Y.,Li,S.Y.,and Li,X*.,“Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2021.(Accepted,Oral)
Wang,H.,Qin,Z.,Li,S.,and Li,X*.,“CoDiNet:Path Distribution Modeling with Consistency and Diversity for Dynamic Routing,'IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Minor revision)
Zhao,H.,Wang,H.,Fu,Y.,Wu,F.,and Li,X*.,'Memory Efficient Class-Incremental Learning for Image Classification,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Accepted)
Li,X.W.,Li,S.,Boura,O.,Wu,F.,and Li,X*.,“ResKD:Residual-Guided Knowledge Distillation”,IEEE Transactions on Image Processing(TIP),2021.(Accepted)[Paper]
Zhao,H.,Zeng,H.,Qin,X.,Fu,Y.,Wang,H.,Omar,B.,and Li,X*.,“What and Where:Learn to Plug Adapters via NAS for Multi-Domain Learning,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Minor Revision)
Cui,J.,Zhang,P.,Li,S.,Zheng,L.,Bao,C.,and Li,X*.,“Multitask Identity-AwareImage Steganography via Minimax Optimization,'IEEE Transactions on Image Processing(TIP),2021.(Major Revision)
Fu,Y.,Wang,F.,Li,S.,Zhao,H.,Fang,W.,Zhuang,Y.,Pan Z.,and Li,X*.,“Elastic Knowledge Distillation by Learning from Recollection,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Major Revision)
Wang,H.,Tian,J.,Li,S.,Zhao,H.,Tian,Q.,Wu,F.,and Li X.,“Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Under review)
Zhao,H.,Fu,Y.,Kang,M.,Tian,Q.,Wu,F.,and Li,X*.,“MgSvF:Multi-Grained Slow vs.Fast Framework for Few-Shot Class-Incremental Learning“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Under review)
Feng,J.,Li,S.,Li,X*.,et al.,“TapLab:A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2020.(Accepted)[Code][Paper]
Qin,Z.,Wang H.,and Li,X*.,“Ultra Fast Structure-aware Deep Lane Detection',Proceedings of European Conference on Computer Vision(ECCV）,2020.(Accepted)[Code][Paper]
Wang,F.,Chen,Y.,Wu,F.,and Li,X*.,“TextRay:Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection,”Proceedings of ACM International Conference on Multimedia(ACM MM),2020.(Accepted,Oral)[Code][Paper]
Lin,P.,Sun P.,Cheng,G.,Xie,S.,Li,X*.,and Shi,J.,“Graph-guided Architecture Search for Real-time Semantic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted)[Paper]
Chen,Y.F.,Lin,G.,Li,S.,Omar,B.,Wu,Y.,Wang,F.,Feng,J.,Xu,M.,and Li,X*.,“BANet:Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted,Oral)[Paper][Supp][Code]
Li,W.,Li,X*.,Huang,F.,Boura,O.,Wu,F.,Liu,W.,and Wang,Z.,'Progressive Multi-Stage Learning for Discriminative Tracking',IEEE Transactions on Cybernetics(TCYB),2020.(Accepted)[Paper]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,Zhuang Y.,and Han,J.,“End-to-End Video Saliency Detection via A Deep Contextual Spatiotemporal Network,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2020.(Accepted)[Paper]
Qiao,Y.,Cui,J.,Huang,F.,Liu,H.,and Li,X.,'Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Li,B.,Tian,J.,Zhang,Z.,Feng,H.,and Li,X*.,'Multitask Non-AutoregressiveModel for Human Motion Prediction,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Abdul Jabbar and Li,X*.,“A Survey on Generative Adversarial Networks:Variants,Applications,and Training,'ACM Computing Surveys,2020.(Minor Revision)[Paper]
Wu,X.,Zhang,Q.,Wu,Y.,Wangle,H.,Li,S.,Li,B.,Sun,L.,and Li,X*.,'F3A-GAN:Facial Flow for Face Animation with Generative Adversarial Networks,'IEEE Transactions on Image Processing(TIP),2020.(Under review)
Feng,J.,Li,S.,and Li,X*.,“Tamed Warping Network for Semantic Video Segmentation”,IEEE Transactions on Image Processing(TIP),2020.(Under Review)
Fu,Y,Wu,X.,Li,X*.,et al.,'Semantic Neighborhood-Aware Deep Facial Expression Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Wu,Y.,Li,X*.,et al.,'Adaptive Graph Representation Learning for Video Person Re-identification,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Wu,H.Q.,Tian,J.,Li.B.,Fu,Y.J.,and Li,X*.,'Condition-aware Comparison Scheme for Gait Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Sun,P.,Lin,P.,Li,X*.,and Cheng,G*.“Real-Time Semantic Segmentation Network Search via Graph-guided Module and Dense-Connected Fusion Cell“,International Journal of Computer Vision(IJCV),2020.(Under Review)
Ji,Z.,Zhao,Y.,Pang,Y.,Li,X.,and Han J.,“Deep attentive video summarization with distribution consistency learning,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2020.(Accepted)[Paper]
Huang,F.,Cui,J.,Li,W.,Fu,Y.,Huang,S.,and Li,X*.,'Unified Curiosity-Driven Learning with Smoothed Intrinsic Reward Estimation',Pattern Recognition(PR),2020.(Major Revision)
Li,X*.,Cui,J.,Pi,T.,et al.,“Self-Paced Boosting Framework for Effective and Robust Classification“,Journal of Machine Learning Research(JMLR),2020.(Under Review)
Sun,P.,Lin，P.,Li,X*.,and Cheng,G.,“Real-Time Semantic Segmentation Network Search via Graph-guided Module and Dense-Connected Fusion Cell“,International Journal of Computer Vision(IJCV),2020.(Under Review)
Sun,P.,Lin,P.,Cheng,G.,Shi,J.,Zhang,J.,and Li,X*.,'OVSNet:Towards One-Pass Real-Time Video Object Segmentation,'IEEE Transactions on Image Processing(TIP),2020.(Major Revision)
Yang,X.,Deng,H.,Wang,Q.,Wang,Z.,Li,X.,and Li,H.,'Pedestrian Re-identification Based on Multi-view Decomposition,'IEEE Transactions on Image Processing(TIP),2020.(Under Review)
Ji,W.,Li,X*.,Wu,F.,Pan,Z.,and Zhuang Y.,'Human-centric Clothing Segmentation via Deformable Semantic Locality-Preserving Network',IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2020.(Accepted)[Paper]
Ji,W.,Li,X*.,et al.,'Context-aware Graph Label Propagation Network for Saliency Detection,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Tian,Y.,Chen,T.,Cheng,G.,Yu,S.,Yang,T.,Li,X.,Li,J.,and Yang,B.,“Global Context Assisted Structure-aware Vehicle Retrieval,'IEEE Transactions on Intelligent Transportation Systems(TITS),2020.(Accepted)
Jiang,X.,Zhang,L.,Lv,P.,Guo,Y.,Zhu,R.,Li,Y.,Pang,Y.,Li,X.,Zhou,B.,and Xu M.,“Learning Multi-Level Density Maps for Crowd Counting,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2019.(Accepted)[Paper]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,and Zhuang,Y.,'Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Saliency Results][提取码:p7ue][Paper]
Zhang,Y.,Li,X*.,and Zhang,Z.,'Efficient Person Search via Expert-Guided Knowledge Distillation',IEEE Transactions on Cybernetics(TCYB),2019.(Accepted)[Paper]
Man,Y.,Huang,Y.,Feng,J.,Li,X*.,and Wu,F.,“Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net,'IEEE Transactions on Medical Imaging(TMI),2019.(Accepted)[Paper]
Wu,Y.,Ji,W.,Li,X*.,Wang,G.,and Yin,J.,'Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images',IEEE Transactions on Cybernetics(TCYB),2019.(Accepted)[Paper]
Xu,M.,Su,H.,Li,Y.,Li,X.,Liao,J.,Niu,J.,Lv,P.,and Zhou,B.,“Stylize Aesthetic QR Code,'IEEE Transactions on Multimedia(TMM),2019.(Accepted)[Paper]
Huang,S.,Li,X*.,Zhang,Z.,Wu,F.,and Han,J.,'User-Ranking Video Summarization with Multi-Stage Spatio-Temporal Representation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Paper]
Man,Y.,Wen,X.,Li,X*.,and Kitan,Y.,“GroundNet:Monocular Ground Plane Estimation with Geometric Consistency,”Proceedings of ACM International Conference on Multimedia(ACM MM),2019.(Oral,Accepted)[Paper]
Li,B.,Li,X*.,Zhang,Z.,and Wu,F.,“Spatio-Temporal Graph Routing for Skeleton-based Action Recognition,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2019.(Accepted)[Paper]
Zhang,Y.,Li,X*.,and Zhang,Z.,“Learning A Key-Value Memory Co-Attention Matching Network for Person ReIdentification,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2019.(Accepted)[Paper]
Huang,S.,Li,X*.,Cheng,Z.,Zhang,Z.,and Hauptmann,A.,“GNAS:A Greedy Neural Architecture Search Method for Multi-Attribute Learning,”Proceedings of ACM International Conference on Multimedia(ACM MM),2018.(Oral,Accepted)[Paper]
Shen,Y.,Li,X*.,Zhao,X.,Zhang,Z.,Wu,F.,Wang,J.,Zhuang,Y.,and Li,X.,'A bilinear ranking SVM for knowledge based relation prediction and classification',IEEE Transactions on Big Data(TBD),2018.(Accepted)[Paper]
Ji,W.,Li,X*.,Zhuang,Y.,Bourahla,O.E.F.,Ji,Y.,Li,S.,and Cui,J.,'Semantic Locality-Aware Deformable Network for Clothing Segmentation',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Zhao,L.,Meng,D.,Li,M.,Wang,J.,Li,X*.,Zhang,Z.,Zhuang,Y.,and Tu,Z.,'Deep Convolutional Neural Networks with Merge-and-Run Mappings',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Hu,Y.,Li,J.,Li,X*.,and Pan,G.,'Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Wang,H.,Zhao,H.,Li,X*.,and Tan,X.,'Progressive Blockwise Knowledge Distillation for Neural Network Acceleration',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Qi,Z.,Wang,T.,Song,G.,Hu,W.,Li,X*.,and Zhang,Z.,'Deep Air Learning:Interpolation,Prediction,and Feature Analysis of Fine-grained Air Quality',IEEE Transactions on Knowledge and Data Engineering(TKDE),2018.(Accepted)[Paper]
Li,X*.,Zhao,L.,Ji,W.,Wu,Y.,Wu,F.,Tao,D.,and Reid,I.,“Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2018.[Paper]
Wang,F.,Zhao,L.,Li,X*.,et al.,“Geometry-Aware Scene Text Detection with Instance Transformation Network”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.[Code][Paper]
Yu,S.,,Ji,R.,Wang,C.,Li,X.,and Li,X.,'Weakly Supervised Object Detection via Object-Specific Pixel Gradient',IEEE Transactions on Neural Network and Learning Systems(TNNLS),2018.(Accepted)[Paper]
Zeng,J.,Liu,S.,Li,X*.,Mahdi,D.,and Wu,F.,'Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling',IEEE Transactions on Image Processing(TIP),2018.[Paper]
Mao,C.,Li,Y.,Zhang,Z.,Zhang,Y.,and Li,X.,“Multi-Channel Pyramid Person Matching Network for Person Re-Identification,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2018.[Paper]
Yu,Y.,Ji,Z.,Li,X*.,Guo,J.,Zhang,Z.,Wu,F.,Ling,H.,and Wu,F.,'Transductive Zero-Shot Learning With a Self-Training Dictionary Approach',IEEE Transactions on Cybernetics(TCYB),2017.[Paper]
Huang,S.,Li,X*.,Zhang,Z.,Wu,F.,Gao,S.H.,and Ji,R.,'Body Structure Aware Deep Crowd Counting',IEEE Transactions on Image Processing(TIP),2017.[Paper]
Zhao,L.,Li,X*.,Wang,J.,and Zhuang,Y.,'Deeply-Learned Part-Aligned Representations for Person Re-Identification',International Conference on Computer Vision(ICCV),2017.[Code][Paper]
Li,X*.,Pi,T.,Zhao,X.,Zhang,Z.,Li,X.,and Yu,P.,'Learning Bregman Distance Functions for Structural Learning to Rank',IEEE Transactions on Knowledge and Data Engineering(TKDE),2017.[Paper]
Wei,L.,Zhao,S.,Bourahla,O.,Li,X*.,and Wu,F.,'Group-wise Deep Co-saliency Detection',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
Zhao,S.,Li,X*.,and Bourahla,O.,'Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
Pi,T.,Li,X*.,and Zhang,Z.,'Boosted Zero-Shot Learning with Semantic Correlation Regularization',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
He,Z.,Li,X*.,Zhang,Z.,Wu,F.,Geng,X.,Zhang,Y.,Yang,M.,and Zhuang,Y.,'Data-Dependent Label Distribution Learning for Age Estimation',IEEE Transactions on Image Processing(TIP),2017.[Paper]
Wang,H.,Wu,F.,Lu,W.,Yang,Y.,Li,X.,Li,X.,and Zhang,Y.,'Identifying Objective and Subjective Words via Topic Modeling',IEEE Transactions on Neural Network and Learning Systems(TNNLS),2017.[Paper]
Li,X.,Zhao,L.,Wei,L.,Yang,M.,Wu,F.,Zhuang,Y.,Ling,H.,and Wang,J.,'DeepSaliency:Multi-Task Deep Neural Network Model for Salient Object Detection',IEEE Transactions on Image Processing(TIP),2016.[Code][Paper]
Huang,S.,Li,X*.,Zhang,Z.,He,Z.,Wu,F.,Liu,W.,Tang,J.,and Zhuang,Y.,'Deep Learning Driven Visual Path Prediction from a Single Image',IEEE Transactions on Image Processing(TIP),2016.[Paper]
Zhuang,Y.,Song,J.,Wu,F.,Li,X.,Zhang,Z.,Rui,R.,'Multi-modal Deep Embedding via Hierarchical Grounded Compositional Semantics,'IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2016.
Pi,T.,Li,X*.,Zhang,Z.,Meng,D.,Wu,F.,Xiao,J.,and Zhuang,Y.,'Self-Paced Boost Learning for Classification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Paper]
Zhang,Y.,Li,X*.,Zhao,L.,and Zhang,Z.,'Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Code]
Wang,Z.,Wu,F.,Xiao,J.,Li,X.,Zhang,Z.,and Zhuang,Y.,Diversely Image Captioning via GroupTalk',International Joint Conference on Artificial Intelligence(IJCAI),2016.
Wu,F.,Wang,Z.,Lu,W.,Li,X.,Yang,Y.,Luo,J.,and Zhuang Y.,'Regularized Deep Belief Network for Image Attribute Detection',IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2016.[Paper]
Li,X*.,Shen,C.,Dick,A.,Zhang,Z.,and Zhuang Y.,'Online Metric-Weighted Linear Representations for Robust Visual Tracking',IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2016.[Paper]
Zhao,X.,Li,X*.,Zhang,Z.,Shen,C.,Zhuang Y.,Gao,L.,and Li,X.,“Scalable Linear Visual Feature Learning Via Online Parallel Nonnegative Matrix Factorization,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2016.[Paper]
Zhou,X.,Li,X*.,and Hu,W.,“Learning A Superpixel-Driven Speed Function for Level Set Tracking,'IEEE Transactions on Cybernetics(TCYB),2016.[Paper]
Li,X.,Zhao,X.,Zhang,Z.,Wu,F.,Zhuang,Y.,and Wang,J.,'Joint Multilabel Classification with Community-Aware Label Graph Learning',IEEE Transactions on Image Processing(TIP),2016[Paper]
Yuan,C.,Wu,B.,Li,X.,Hu,W.,Maybank,S.,and Wang,F.,“Fusing R Features and Local Features with Context-aware Kernels for Action Recognition,”International Journal of Computer Vision(IJCV),2016.
Li,P.,Ling,H.,Li,X.,and Liao,C.,'3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points',Proceedings of International Conference on Computer Vision(ICCV),2015.[Paper]
Zhao,X,Li,X*.,and Zhang,Z.,“Joint Structural Learning To Rank With Deep Linear Feature Learning,”IEEE Transactions on Knowledge and Data Engineering(TKDE),2015.[Paper]
Fang,H.,Wu,F.,Li,X.,Tang,S.,Lu,W.,Yang,Y.,Zhu,W.,and Zhuang,Y.,“Aspect learning for multimedia summarization via non-parametric Bayesian,'IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2015.
Tan,X.,Wu,F.,Li,X.,Tang,S.,Lu,W.,and Zhuang,Y.,“Structured Visual Feature Learning for Classification via Supervised Probabilistic Tensor Factorization,”IEEE Transactions on Multimedia(TMM),2015.[Paper]
Wu,F.,Jiang X.,Li,X.,Tang,S.,Lu,W.,Zhang,Z.,and Zhuang,Y.,“Cross-Modal Learning to Rank via Latent Joint Representation,”IEEE Transactions on Image Processing(TIP),2015.[Paper]
Jiang,X.,Wu,F.,Li,X.,Zhao,Z.,Lu,W.,Tang,S.,and Zhuang,Y.,'Deep Compositional Cross-modal Learning to Rank via Local-Global Alignment,'Proceedings of ACM International Conference on Multimedia(ACM MM),2015.
Zhao,L.,Li,X*.,Xiao,J.,Wu,F.,and Zhuang,Y.,“Metric Learning-Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking,”Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence(AAAI),2015.(Oral Presentation,Code Link)[Paper]
Wu,F.,Song J.,Yang,Y.,Li,X.,Zhang,Z.,and Zhuang,Y.,“Structured embedding via pairwise relations and long-range interactions,”Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence(AAAI),2015.
Pi,T.,Li,X*.,and Zhang,Z.,“Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement,”Proceedings of IEEE International Conference on Data Mining(ICDM),2014.(9.6%Acceptance Rate)[Paper]
Wang,F.,Wu,F.,Song,J.,Li,X.,and Zhuang,Y.,“Multi-modal Mutual Topic Reinforce Modeling for cross-media retrieval,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Lu,X.,Wu,F.,Li,X.,Zhang,Y.,Lu,W.,Wang,D.,and Zhuang,Y.,“Learning Multimodal Neural Network with Ranking Examples,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Wang,H.,Wu,F.,Li,X.,Tang S.,and Zhuang,Y.,“Jointly Discovering Fine-grained and Coarse-grained Sentiments via Topic Modeling,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Li,X*.,Hu,W.,Shen,C.,Dick,A.,and Zhang,Z.,“Context-aware hypergraph construction for robust spectral clustering”，IEEE Transactions on Knowledge and Data Engineering(TKDE),DOI:10.1109/TKDE.2013.126,2013.[Paper]
Li,X*.,Hu,W.,Shen,C.,Dick,A.,Zhang,Z.,and Hengel,A.v.d.,“A survey of appearance models in visual object tracking”，ACM Transactions on Intelligent Systems and Technology(TIST),4(4),pp.1-58,2013.(2014 IF=9.39)[Paper]
Li,X*.,Dick,A.,Shen,C.,Hengel,A.v.d.,and Wang,H.,“Incremental learning of 3D-DCT compact representations for robust visual tracking”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),35(4):863-881,2013.[Paper]
Li,X*.,Dick,A.,Shen,C.,Zhang,Z.,Hengel,A.v.d.,and Wang,H.,“Visual tracking with spatio-temporal Dempster-Shafer information fusion”,IEEE Transactions on Image Processing(TIP),22(8),3028-3040,2013.[Paper]
Hu,W.,Tian,G.,Li,X*.,and Maybank,S.，“An improved hierarchical dirichlet process-hidden markov model and its application to trajectory modeling and retrieval”，International Journal of Computer Vision(IJCV),105(3),pp.246-268,2013.
Yuan,C.,Li,X.,Hu,W.,Ling,H.,and Maybank,S.,“Modeling geometric-temporal context with directional pyramid co-occurrence for action recognition”,IEEE Transactions on Image Processing(TIP),23(2),pp.658-672,2013.[Paper]
Hu,W.,Li,X*.,Tian,G.,Maybank,S.,and Zhang,Z.,“An incremental DPMM-based method for trajectory clustering,modeling and retrieval”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),35(5),pp.1051-1065,2013.[Paper]
Hu,W.,Li,X*.,Luo,W.,Zhang,X.,Maybank,S.,and Zhang,Z.,“Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),34(12),pp.2420-2440,2012.[Paper]
Hu,W.,Li,X*.,Zhang,X.,Shi,X.,Maybank,S.,and Zhang,Z.,'Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking',International Journal of Computer Vision(IJCV),Vol.91,No.3,pages 303-327,2010.
Chen,Y.,Dick,A.,Li,X*,and Hengel,A.v.d.,“Spatially aware feature selection and weighting for object retrieval”,Image and Vision Computing(IVC),31(12),pp.935–948,2013.
Chen,Y.,Li,X*.,Dick,A.,and Hill,R.,“Ranking consistency for image matching and object retrieval”,Pattern Recognition(PR),47(3),pp.1349–1360 2014.
Li,X*.,Li,Y.,Shen,C.,Dick,A.,and Hengel,A.v.d.,“Contextual hypergraph modeling for salient object detection”,Proceedings of International Conference on Computer Vision(ICCV),2013.[Paper]
Li,X*.,Lin,G.,Shen,C.,Hengel,A.v.d.,and Dick A.,“Learning hash functions using column generation”,Proceedings of International Conference on Machine Learning(ICML),2013.[Paper]
Li,X*.,Shen,C.,Dick,A.,and Hengel,A.v.d.,“Learning compact binary codes for visual tracking”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2013.[Paper]
Yuan,C.,Li,X.,Hu,W.,Ling,H.,and Maybank,S.,“3D R-transform on spatio-temporal interest points for action recognition”，Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2013.
Li,X*.,Shen,C.,Shi,Q.,Dick,A.,and Hengel,A.v.d.,“Non-sparse linear representations for visual tracking with online reservoir metric learning”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2012.[Paper]
Li,X*.,Dick,A.,Wang,H.,Shen,C.,and Hengel,A.v.d.,“Graph mode-based contextual kernels for robust SVM tracking”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2011.[Paper]
Sahbi,H.and Li X*.,“Context Based Support Vector Machines for Interconnected Image Annotation”,Proceedings of Asian Conference on Computer Vision(ACCV),2010.(Oral Presentation,Best Paper Award)
Sahbi,H.and Li X*.,“Context Dependent SVMs for Interconnected Image Network Annotation”,Proceedings of ACM International Conference on Multimedia(ACM MM),2010.
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,“Robust visual tracking based on an effective appearance model”,Proceedings of European Conference on Computer Vision(ECCV),2008.
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,Zhu,M.,and Chen J.,“Visual tracking via incremental Log-Euclidean Riemannian subspace learning”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2008.[Paper]
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,“Robust visual tracking based on incremental tensor subspace learning”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2007.[Paper]
Zhu,M.,Hu,W.,and Li,X.,“Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning”,Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence(WI),2007.
Zhu,M.,Hu,W.,Wu,O.,Li,X.,and Zhang,X.,“User Oriented Link Function Classification”,Proceedings of International World Wide Web Conference(WWW),2008.
Zhang,X.,Hu,W.,Maybank,S.,and Li,X.,“Graph based discriminative learning for robust and efficient object tracking”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2007.(Oral presentation)
Zhang,X.,Hu,W.,Maybank,S.,and Li,X.,“Sequential particle swarm optimization for visual tracking”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2008.
Feng,J.,Li,S.,Li,X*.,et al.,“TapLab:A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2020.(Accepted)[Code][Paper]
Qin,Z.,Wang H.,and Li,X*.,“Ultra Fast Structure-aware Deep Lane Detection”,Proceedings of EuropeanConference on Computer Vision(ECCV）,2020.(Accepted)[Code][Paper]
Wang,F.,Chen,Y.,Wu,F.,and Li,X*.,“TextRay:Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection,”Proceedings of ACM International Conference on Multimedia(ACM MM),2020.(Accepted)[Code][Paper]
Wu,Y.,Li,X*.,et al.,'Adaptive Graph Representation Learning for Video Person Re-identification,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper][Code]
Lin,P.,Sun P.,Li,X*.,et al.,“Graph-guided Architecture Search for Real-time Semantic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted)[Paper][Code]
Chen,Y.F.,Li,X*.,et al.,“BANet:Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted,Oral)[Paper][Supp][Code]
Fu,Y,Wu,X.,Li,X*.,et al.,'Semantic Neighborhood-Aware Deep Facial Expression Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper][Code]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,and Zhuang,Y.,'Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Saliency Results][提取码:p7ue]
Huang,S.,Li,X*.,et al.,“Stacked Pooling:Improving Crowd Counting by Boosting Scale Invariance”,arXiv:1808.07456,2018.[Code]
Wang,F.,Zhao,L.,Li,X*.,et al.,“Geometry-Aware Scene Text Detection with Instance Transformation Network”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.[Code]
Wei,L.,Zhao,S.,Bourahla,O.,Li,X*.,and Wu,F.,'Group-wise Deep Co-saliency Detection',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Saliency Results][提取码:p7ue]
Zeng,J.,Liu,S.,Li,X*.,Mahdi,D.,and Wu,F.,'Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling',IEEE Transactions on Image Processing(TIP),2018.[Code]
Zhao,L.,Li,X*.,Wang,J.,and Zhuang,Y.,'Deeply-Learned Part-Aligned Representations for Person Re-Identification',International Conference on Computer Vision(ICCV),2017.[Code]
Li,X.,Zhao,L.,Wei,L.,Yang,M.,Wu,F.,Zhuang,Y.,Ling,H.,and Wang,J.,'DeepSaliency:Multi-Task Deep Neural Network Model for Salient Object Detection',IEEE Transactions on Image Processing(TIP),2016.[Code]
Zhang,Y.,Li,X*.,Zhao,L.,and Zhang,Z.,'Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Code]
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