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

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

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

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

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

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

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

Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part I (Springer, 2025)

Biometric Recognition - 18th Chinese Conference, CCBR 2024, Nanjing, China, November 22-24, 2024, Proceedings, Part II (Springer, 2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII (Springer, 2024)

Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII (Springer, 2024)

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

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

Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation. - Luo, You-Wei; Ren, Chuan-Xian; Xu, Xiao-Lin; Liu, Qingshan (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation. - Xu, Xiang; Kong, Lingdong; Shuai, Hui; Liu, Qingshan (CoRR, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part I (Springer, 2022)

Pattern Recognition - 6th Asian Conference, ACPR 2021, Jeju Island, South Korea, November 9-12, 2021, Revised Selected Papers, Part II (Springer, 2022)

PointAttN: You Only Need Attention for Point Cloud Completion. - Wang, Jun; Cui, Ying; Guo, Dongyan; Li, Junxia; Liu, Qingshan; Shen, Chunhua (CoRR, 2022)

A Unified Object Counting Network with Object Occupation Prior. - Jiang, Shengqin; Wang, Qing; Cheng, Fengna; Qi, Yuankai; Liu, Qingshan (CoRR, 2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. (Springer, 2020)

Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II (Springer, 2020)

Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III (Springer, 2020)

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network. - Chen, Jin; Song, Huihui; Zhang, Kaihua; Liu, Bo; Liu, Qingshan (CoRR, 2020)

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

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

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection. - Zhang, Kaihua; Li, Tengpeng; Shen, Shiwen; Liu, Bo; Chen, Jin; Liu, Qingshan (CoRR, 2020)

Hyperspectral Image Classification with Attention Aided CNNs. - Hang, Renlong; Li, Zhu; Liu, Qingshan; Ghamisi, Pedram; Bhattacharyya, Shuvra S. (CoRR, 2020)

Meta-Learning with Network Pruning. - Tian, Hongduan; Liu, Bo; Yuan, Xiao-Tong; Liu, Qingshan (CoRR, 2020)

Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction. - Sun, Yubao; Yang, Ying; Liu, Qingshan; Kankanhalli, Mohan S. (CoRR, 2020)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. - Hang, Renlong; Liu, Qingshan; Hong, Danfeng; Ghamisi, Pedram (CoRR, 2019)

Deep Object Co-segmentation via Spatial-Semantic Network Modulation. - Zhang, Kaihua; Chen, Jin; Liu, Bo; Liu, Qingshan (CoRR, 2019)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hyperspectral Image Classification Using Spectral-Spatial LSTMs. - Zhou, Feng; Hang, Renlong; Liu, Qingshan; Yuan, Xiaotong (2017)

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

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

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

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

Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers. - Xu, Jun; Zhou, Chao; Lang, Bing; Liu, Qingshan (2017)

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I (Springer, 2017)

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II (Springer, 2017)

Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III (Springer, 2017)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification. - Liu, Qingshan; Sun, Yubao; Wang, Cantian; Liu, Tongliang; Tao, Dacheng (CoRR, 2016)

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

Self-Paced Multi-Task Learning. - Li, Changsheng; Wei, Fan; Yan, Junchi; Dong, Weishan; Liu, Qingshan; Zha, Hongyuan (CoRR, 2016)

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

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

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

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

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

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

Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. - Weng, Liguo; Xia, Min; Wang, Wei; Liu, Qingshan (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). - Deng, Jiankang; Yang, Jing; Sun, Yubao; Liu, Qingshan (计算机科学, 2015)

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

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

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

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

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

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

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

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

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

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

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

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

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

Adaptive Compressive Tracking via Online Vector Boosting Feature Selection. - Liu, Qingshan; Yang, Jing; Zhang, Kaihua; Wu, Yi (CoRR, 2015)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. - Chen, Shizhi; Tian, Yingli; Liu, Qingshan; Metaxas, Dimitris N. (2011)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Lennard-Jones force field for Geometric Active Contour. - Li, Zhenglong; Liu, Qingshan; Lu, Hanqing; Metaxas, Dimitris N. (2008)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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