Qingshan Liu

According to our database, Qingshan Liu authored at least 326 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation.

You-Wei Luo, Chuan-Xian Ren, Xiao-Lin Xu, Qingshan Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Compare and Focus: Multi-Scale View Aggregation for Crowd Counting.

Shengqin Jiang, Jialu Cai, Haokui Zhang, Yu Liu, Qingshan Liu

IEEE Trans. Intell. Transp. Syst., October, 2024

Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network.

Yubao Sun, Jihui Tang, Qingshan Liu, Zhendong Zhang, Liang Huang

IEEE Trans. Intell. Transp. Syst., August, 2024

Motion Compression Using Structurally Connected Neural Network.

Guiyu Xia, Wenkai Ye, Peng Xue, Yubao Sun, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., June, 2024

A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis.

Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu, Yubao Sun

IEEE Trans. Neural Networks Learn. Syst., May, 2024

A Unified Object Counting Network With Object Occupation Prior.

Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Adaptive Activation Network for Weakly Supervised Semantic Segmentation.

Junxia Li, Deshuo Shi, Ying Cui, Dongyan Guo, Qingshan Liu

IEEE Trans. Multim., 2024

Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data.

Fanfan Ji, Xiao-Tong Yuan, Qingshan Liu

IEEE Trans. Multim., 2024

Masked Spectral-Spatial Feature Prediction for Hyperspectral Image Classification.

Feng Zhou, Chao Xu, Guowei Yang, Renlong Hang, Qingshan Liu

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, Lei Zhou, Luhui Yue, Qingshan Liu

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, Yingjie Liu, Luhui Yue, Qingshan Liu, Renlong Hang

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, Jiamu Ding, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2024

A Short-Long Term Sequence Learning Network for Precipitation Nowcasting.

Zefeng Pan, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan

IEEE Trans. Geosci. Remote. Sens., 2024

A Closed-Loop Circular Regression Network for 2-m Air Temperature Downscaling Over Southwestern China.

Guangyu Liu, Renlong Hang, Rui Zhang, Chunxiang Shi, Qingshan Liu

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

IEEE Trans. Geosci. Remote. Sens., 2024

A Regionally Indicated Visual Grounding Network for Remote Sensing Images.

Renlong Hang, Siqi Xu, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2024

Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting.

Yunlong Zhou, Renlong Hang, Fanfan Ji, Zefeng Pan, Qingshan Liu, Xiao-Tong Yuan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Deep Precipitation Nowcasting With Dual Regions Displacement Information and Global Spatiotemporal Representations Learning.

Zefeng Pan, Fanfan Ji, Yunlong Zhou, Renlong Hang, Qingshan Liu, Xiao-Tong Yuan

IEEE Geosci. Remote. Sens. Lett., 2024

DiFormer: A Difference Transformer Network for Remote Sensing Change Detection.

Hui Lin, Renlong Hang, Shanmin Wang, Qingshan Liu

IEEE Geosci. Remote. Sens. Lett., 2024

3D human model guided pose transfer via progressive flow prediction network.

Furong Ma, Guiyu Xia, Qingshan Liu

J. Vis. Commun. Image Represent., 2024

Cooperative Sentiment Agents for Multimodal Sentiment Analysis.

Shanmin Wang, Hui Shuai, Qingshan Liu, Fei Wang

CoRR, 2024

4D Contrastive Superflows are Dense 3D Representation Learners.

Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

PointAttN: You Only Need Attention for Point Cloud Completion.

Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Human pose transfer via shape-aware partial flow prediction network.

Furong Ma, Guiyu Xia, Qingshan Liu

Multim. Syst., August, 2023

Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection.

Junxia Li, Ziyang Wang, Zefeng Pan, Qingshan Liu, Dongyan Guo

IEEE Trans. Neural Networks Learn. Syst., July, 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

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Bi-RRNet: Bi-level recurrent refinement network for camouflaged object detection.

Yan Liu, Kaihua Zhang, Yaqian Zhao, Hu Chen, Qingshan Liu

Pattern Recognit., July, 2023

MSNet: Multi-Resolution Synergistic Networks for Adaptive Inference.

Renlong Hang, Xuwei Qian, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Pose-Driven Realistic 2-D Motion Synthesis.

Guiyu Xia, Furong Ma, Qingshan Liu, Du Zhang

IEEE Trans. Cybern., April, 2023

Adaptive Multi-View and Temporal Fusing Transformer for 3D Human Pose Estimation.

Hui Shuai, Lele Wu, Qingshan Liu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Deep Object Co-Segmentation and Co-Saliency Detection via High-Order Spatial-Semantic Network Modulation.

Kaihua Zhang, Yang Wu, Mingliang Dong, Bo Liu, Dong Liu, Qingshan Liu

IEEE Trans. Multim., 2023

Multilevel Spatial-Temporal Excited Graph Network for Skeleton-Based Action Recognition.

Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu

IEEE Trans. Image Process., 2023

Mining Joint Intraimage and Interimage Context for Remote Sensing Change Detection.

Feng Zhou, Chao Xu, Renlong Hang, Rui Zhang, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Geometry-Injected Image-Based Point Cloud Semantic Segmentation.

Hui Shuai, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images.

Huan Ni, Qingshan Liu, Haiyan Guan, Hong Tang, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2023

Bias-Based Soft Label Learning for Facial Expression Recognition.

Shanmin Wang, Hui Shuai, Chengguang Liu, Qingshan Liu

IEEE Trans. Affect. Comput., 2023

Statistical Downscaling of Temperature Distributions in Southwest China by Using Terrain-Guided Attention Network.

Guangyu Liu, Rui Zhang, Renlong Hang, Lingling Ge, Chunxiang Shi, Qingshan Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Optimization-Based Post-Training Quantization With Bit-Split and Stitching.

Peisong Wang, Weihan Chen, Xiangyu He, Qiang Chen, Qingshan Liu, Jian Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Intellectual property protection for deep semantic segmentation models.

Hongjia Ruan, Huihui Song, Bo Liu, Yong Cheng, Qingshan Liu

Frontiers Comput. Sci., 2023

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu

CoRR, 2023

Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning.

Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Peng Wang, Yuankai Qi, Qingshan Liu

CoRR, 2023

Crowd Counting with Online Knowledge Learning.

Shengqin Jiang, Bowen Li, Fengna Cheng, Qingshan Liu

CoRR, 2023

Temporally Efficient Gabor Transformer for Unsupervised Video Object Segmentation.

Jiaqing Fan, Tiankang Su, Kaihua Zhang, Bo Liu, Qingshan Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition.

Chengguang Liu, Shanmin Wang, Hui Shuai, Qingshan Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network.

Tengpeng Li, Kaihua Zhang, Shiwen Shen, Bo Liu, Qingshan Liu, Zhu Li

IEEE Trans. Multim., 2022

Local Self-Expression Subspace Learning Network for Motion Capture Data.

Guiyu Xia, Peng Xue, Huaijiang Sun, Yubao Sun, Du Zhang, Qingshan Liu

IEEE Trans. Image Process., 2022

Limb Pose Aware Networks for Monocular 3D Pose Estimation.

Lele Wu, Zhenbo Yu, Yijiang Liu, Qingshan Liu

IEEE Trans. Image Process., 2022

Predicting Tropical Cyclogenesis Using a Deep Learning Method From Gridded Satellite and ERA5 Reanalysis Data in the Western North Pacific Basin.

Rui Zhang, Qingshan Liu, Renlong Hang, Guangcan Liu

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

IEEE Trans. Geosci. Remote. Sens., 2022

Unsupervised Spatial-Spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction.

Yubao Sun, Ying Yang, Qingshan Liu, Mohan S. Kankanhalli

IEEE Trans. Geosci. Remote. Sens., 2022

Multiscale Progressive Segmentation Network for High-Resolution Remote Sensing Imagery.

Renlong Hang, Ping Yang, Feng Zhou, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Cross-Modality Contrastive Learning for Hyperspectral Image Classification.

Renlong Hang, Xuwei Qian, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Hierarchical Context Network for Airborne Image Segmentation.

Feng Zhou, Renlong Hang, Hui Shuai, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2022

Complementarity-Aware Attention Network for Salient Object Detection.

Junxia Li, Zefeng Pan, Qingshan Liu, Ying Cui, Yubao Sun

IEEE Trans. Cybern., 2022

Self-Supervised Video Representation Learning Using Improved Instance-Wise Contrastive Learning and Deep Clustering.

Yisheng Zhu, Hui Shuai, Guangcan Liu, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Keyframe-Editable Real-Time Motion Synthesis.

Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Video Snapshot Compressive Imaging Using Residual Ensemble Network.

Yubao Sun, Xunhao Chen, Mohan S. Kankanhalli, Qingshan Liu, Junxia Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Spatial Consistency Constrained GAN for Human Motion Transfer.

Furong Ma, Guiyu Xia, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Semi-Supervised Video Object Segmentation via Learning Object-Aware Global-Local Correspondence.

Jiaqing Fan, Bo Liu, Kaihua Zhang, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

Phase Space Reconstruction Driven Spatio-Temporal Feature Learning for Dynamic Facial Expression Recognition.

Shanmin Wang, Hui Shuai, Qingshan Liu

IEEE Trans. Affect. Comput., 2022

Learning interlaced sparse Sinkhorn matching network for video super-resolution.

Huihui Song, Yutong Jin, Yong Cheng, Bo Liu, Dong Liu, Qingshan Liu

Pattern Recognit., 2022

CED-Net: contextual encoder-decoder network for 3D face reconstruction.

Lei Zhu, Shanmin Wang, Zengqun Zhao, Xiang Xu, Qingshan Liu

Multim. Syst., 2022

SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification.

Yuan Yuan, Lei Lin, Qingshan Liu, Renlong Hang, Zengguang Zhou

Int. J. Appl. Earth Obs. Geoinformation, 2022

Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation.

Hui Shuai, Xiang Xu, Qingshan Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Bidirectionally Learning Dense Spatio-temporal Feature Propagation Network for Unsupervised Video Object Segmentation.

Jiaqing Fan, Tiankang Su, Kaihua Zhang, Qingshan Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Transformer-based Residual Network for Hyperspectral Snapshot Compressive Reconstruction.

Junru Huang, Yubao Sun, Jiaxuan Wen, Qingshan Liu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

ReX: An Efficient Approach to Reducing Memory Cost in Image Classification.

Xuwei Qian, Renlong Hang, Qingshan Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

3D Tensor Auto-encoder with Application to Video Compression.

Yang Li, Guangcan Liu, Yubao Sun, Qingshan Liu, Shengyong Chen

ACM Trans. Multim. Comput. Commun. Appl., 2021

Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation.

Guiyu Xia, Beijia Chen, Huaijiang Sun, Qingshan Liu

IEEE Trans. Neural Networks Learn. Syst., 2021

Unsupervised Network Quantization via Fixed-Point Factorization.

Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng

IEEE Trans. Neural Networks Learn. Syst., 2021

Stacked U-Shape Network With Channel-Wise Attention for Salient Object Detection.

Junxia Li, Zefeng Pan, Qingshan Liu, Ziyang Wang

IEEE Trans. Multim., 2021

Collaborative Local-Global Learning for Temporal Action Proposal.

Yisheng Zhu, Hu Han, Guangcan Liu, Qingshan Liu

ACM Trans. Intell. Syst. Technol., 2021

Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations.

Qi Zhao, Chuqiao Chen, Guangcan Liu, Qingshan Liu, Shengyong Chen

ACM Trans. Intell. Syst. Technol., 2021

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild.

Zengqun Zhao, Qingshan Liu, Shanmin Wang

IEEE Trans. Image Process., 2021

Multi-Stage Feature Fusion Network for Video Super-Resolution.

Huihui Song, Wenjie Xu, Dong Liu, Bo Liu, Qingshan Liu, Dimitris N. Metaxas

IEEE Trans. Image Process., 2021

Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation.

Hui Shuai, Xiang Xu, Qingshan Liu

IEEE Trans. Image Process., 2021

Spectral Super-Resolution Network Guided by Intrinsic Properties of Hyperspectral Imagery.

Renlong Hang, Qingshan Liu, Zhu Li

IEEE Trans. Image Process., 2021

Class-Guided Feature Decoupling Network for Airborne Image Segmentation.

Feng Zhou, Renlong Hang, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2021

Classification of Hyperspectral Images via Multitask Generative Adversarial Networks.

Renlong Hang, Feng Zhou, Qingshan Liu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2021

Hyperspectral Image Classification With Attention-Aided CNNs.

Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya

IEEE Trans. Geosci. Remote. Sens., 2021

Feature Alignment and Aggregation Siamese Networks for Fast Visual Tracking.

Jiaqing Fan, Huihui Song, Kaihua Zhang, Kang Yang, Qingshan Liu

IEEE Trans. Circuits Syst. Video Technol., 2021

Video saliency prediction using enhanced spatiotemporal alignment network.

Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu

Pattern Recognit., 2021

Matrix Completion with Deterministic Sampling: Theories and Methods.

Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Body parts relevance learning via expectation-maximization for human pose estimation.

Luhui Yue, Junxia Li, Qingshan Liu

Multim. Syst., 2021

Likelihood-constrained coupled space learning for motion synthesis.

Guiyu Xia, Peng Xue, Du Zhang, Qingshan Liu

Inf. Sci., 2021

Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor.

Qi Zhao, Guangcan Liu, Qingshan Liu

Neurocomputing, 2021

Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation.

Hui Shuai, Lele Wu, Qingshan Liu

CoRR, 2021

Former-DFER: Dynamic Facial Expression Recognition Transformer.

Zengqun Zhao, Qingshan Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Deep Transport Network for Unsupervised Video Object Segmentation.

Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance.

Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Causal Intervention Learning for Multi-person Pose Estimation.

Luhui Yue, Junxia Li, Qingshan Liu

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Robust Lightweight Facial Expression Recognition Network with Label Distribution Training.

Zengqun Zhao, Qingshan Liu, Feng Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Non-Locally Regularized Compressed Sensing Network With Half-Quadratic Splitting.

Yubao Sun, Ying Yang, Qingshan Liu, Jiwei Chen, Xiao-Tong Yuan, Guodong Guo

IEEE Trans. Multim., 2020

Dual-Path Attention Network for Compressed Sensing Image Reconstruction.

Yubao Sun, Jiwei Chen, Qingshan Liu, Bo Liu, Guodong Guo

IEEE Trans. Image Process., 2020

Tropical Cyclone Intensity Estimation Using Two-Branch Convolutional Neural Network From Infrared and Water Vapor Images.

Rui Zhang, Qingshan Liu, Renlong Hang

IEEE Trans. Geosci. Remote. Sens., 2020

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs.

Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu

IEEE Trans. Geosci. Remote. Sens., 2020

Selecting Optimal Completion to Partial Matrix via Self-Validation.

Xin Wang, Guangcan Liu, Wayne Zhang, Qingshan Liu

IEEE Signal Process. Lett., 2020

Learning image compressed sensing with sub-pixel convolutional generative adversarial network.

Yubao Sun, Jiwei Chen, Qingshan Liu, Guangcan Liu

Pattern Recognit., 2020

Learning residual refinement network with semantic context representation for real-time saliency object detection.

Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu

Pattern Recognit., 2020

Hierarchical attentive Siamese network for real-time visual tracking.

Kang Yang, Huihui Song, Kaihua Zhang, Qingshan Liu

Neural Comput. Appl., 2020

Dual Iterative Hard Thresholding.

Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

J. Mach. Learn. Res., 2020

Single image super-resolution with enhanced Laplacian pyramid network via conditional generative adversarial learning.

Xiaolu Zhang, Huihui Song, Kaihua Zhang, Jiaojiao Qiao, Qingshan Liu

Neurocomputing, 2020

Recurrent reverse attention guided residual learning for saliency object detection.

Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu

Neurocomputing, 2020

Flow driven attention network for video salient object detection.

Feng Zhou, Hui Shuai, Qingshan Liu, Guodong Guo

IET Image Process., 2020

Real-time manifold regularized context-aware correlation tracking.

Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Fei Yan, Wei Lian

Frontiers Comput. Sci., 2020

Learning lightweight Multi-Scale Feedback Residual network for single image super-resolution.

Wenjie Xu, Huihui Song, Kaihua Zhang, Qingshan Liu, Jia Liu

Comput. Vis. Image Underst., 2020

Top-Down Fusing Multi-level Contextual Features for Salient Object Detection.

Mingyuan Pan, Huihui Song, Junxia Li, Kaihua Zhang, Qingshan Liu

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Dual Temporal Memory Network for Efficient Video Object Segmentation.

Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Prinet: A Prior Driven Spectral Super-Resolution Network.

Renlong Hang, Zhu Li, Qingshan Liu, Shuvra S. Bhattacharyya

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Meta-learning with Network Pruning.

Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu

Proceedings of the Computer Vision - ECCV 2020, 2020

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.

Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Memory Augmented Cascading Network for Compressed Sensing of Images.

Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection.

Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Object Co-Segmentation via Spatial-Semantic Network Modulation.

Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Parallel Attentive Correlation Tracking.

Kaihua Zhang, Jiaqing Fan, Qingshan Liu, Jian Yang, Wei Lian

IEEE Trans. Image Process., 2019

Robust Subspace Clustering With Compressed Data.

Guangcan Liu, Zhao Zhang, Qingshan Liu, Hongkai Xiong

IEEE Trans. Image Process., 2019

Learning-Based Sphere Nonlinear Interpolation for Motion Synthesis.

Guiyu Xia, Huaijiang Sun, Qingshan Liu, Renlong Hang

IEEE Trans. Ind. Informatics, 2019

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification.

Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2019

Pyramid Fully Convolutional Network for Hyperspectral and Multispectral Image Fusion.

Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering.

Peixian Zhuang, Qingshan Liu, Xinghao Ding

Signal Process., 2019

Joint Active Learning with Feature Selection via CUR Matrix Decomposition.

Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dynamic Structure Embedded Online Multiple-Output Regression for Streaming Data.

Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Qingshan Liu, Xin Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Low-rank weighted co-saliency detection via efficient manifold ranking.

Tengpeng Li, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian

Multim. Tools Appl., 2019

Retrieving Soil Moisture Over Continental U.S. via Multi-View Multi-Task Learning.

Lingling Ge, Renlong Hang, Qingshan Liu

IEEE Geosci. Remote. Sens. Lett., 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

计算机科学, 2019

Hyperspectral image classification using spectral-spatial LSTMs.

Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan

Neurocomputing, 2019

Moving object detection via segmentation and saliency constrained RPCA.

Yang Li, Guangcan Liu, Qingshan Liu, Yubao Sun, Shengyong Chen

Neurocomputing, 2019

Image super-resolution using conditional generative adversarial network.

Jiaojiao Qiao, Huihui Song, Kaihua Zhang, Xiaolu Zhang, Qingshan Liu

IET Image Process., 2019

Local Context Embedding Neural Network for Scene Semantic Segmentation.

Junxia Li, Lingzheng Dai, Yu Ding, Qingshan Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

PointNet-Based Channel Attention VLAD Network.

Rongrong Fan, Hui Shuai, Qingshan Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing.

Kaihua Zhang, Tengpeng Li, Bo Liu, Qingshan Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning.

Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Reversed Spectral Hashing.

Qingshan Liu, Guangcan Liu, Lai Li, Xiao-Tong Yuan, Meng Wang, Wei Liu

IEEE Trans. Neural Networks Learn. Syst., 2018

A Self-Paced Regularization Framework for Multilabel Learning.

Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha

IEEE Trans. Neural Networks Learn. Syst., 2018

Nonlinear Low-Rank Matrix Completion for Human Motion Recovery.

Guiyu Xia, Huaijiang Sun, Beijia Chen, Qingshan Liu, Lei Feng, Guoqing Zhang, Renlong Hang

IEEE Trans. Image Process., 2018

Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification.

Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li

IEEE Trans. Geosci. Remote. Sens., 2018

Visual Tracking via Nonlocal Similarity Learning.

Qingshan Liu, Jiaqing Fan, Huihui Song, Wei Chen, Kaihua Zhang

IEEE Trans. Circuits Syst. Video Technol., 2018

Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks.

Huihui Song, Qingshan Liu, Guojie Wang, Renlong Hang, Bo Huang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Dimensionality Reduction of Hyperspectral Image Using Spatial Regularized Local Graph Discriminant Embedding.

Renlong Hang, Qingshan Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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, Qingshan Liu

Remote. Sens., 2018

Saliency fusion via sparse and double low rank decomposition.

Junxia Li, Jian Yang, Chen Gong, Qingshan Liu

Pattern Recognit. Lett., 2018

Visual tracking via Boolean map representations.

Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang

Pattern Recognit., 2018

Visual tracking using spatio-temporally nonlocally regularized correlation filter.

Kaihua Zhang, Xuejun Li, Huihui Song, Qingshan Liu, Wei Lian

Pattern Recognit., 2018

Spatio-temporal convolutional features with nested LSTM for facial expression recognition.

Zhenbo Yu, Guangcan Liu, Qingshan Liu, Jiankang Deng

Neurocomputing, 2018

Multi-component group sparse RPCA model for motion object detection under complex dynamic background.

Min Wu, Yubao Sun, Renlong Hang, Qingshan Liu, Guangcan Liu

Neurocomputing, 2018

Fast subspace segmentation via Random Sample Probing.

Yang Li, Yubao Sun, Qingshan Liu, Shengyong Chen

Neurocomputing, 2018

Matrix Completion with Nonuniform Sampling: Theories and Methods.

Guangcan Liu, Qingshan Liu, Xiao-Tong Yuan, Meng Wang

CoRR, 2018

Fast and Robust Subspace Clustering Using Random Projections.

Guangcan Liu, Qingshan Liu, Yubao Sun, Zhao Zhang, Meng Wang

CoRR, 2018

Cascaded Regional Spatio-Temporal Feature-Routing Networks for Video Object Detection.

Hui Shuai, Qingshan Liu, Kaihua Zhang, Jing Yang, Jiankang Deng

IEEE Access, 2018

Complementary Tracking via Dual Color Clustering and Spatio-Temporal Regularized Correlation Learning.

Jiaqing Fan, Huihui Song, Kaihua Zhang, Qingshan Liu, Wei Lian

IEEE Access, 2018

Integrating Convolutional Neural Network and Gated Recurrent Unit for Hyperspectral Image Spectral-Spatial Classification.

Feng Zhou, Renlong Hang, Qingshan Liu, Xiaotong Yuan

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment.

Zhenni Cai, Qingshan Liu, Shanmin Wang, Bruce Yang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.

Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers.

Jun Xu, Chao Zhou, Bing Lang, Qingshan Liu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification.

Qingshan Liu, Yubao Sun, Cantian Wang, Tongliang Liu, Dacheng Tao

IEEE Trans. Image Process., 2017

Adaptive Cascade Regression Model For Robust Face Alignment.

Qingshan Liu, Jiankang Deng, Jing Yang, Guangcan Liu, Dacheng Tao

IEEE Trans. Image Process., 2017

Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition.

Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas

ACM Trans. Embed. Comput. Syst., 2017

Adaptive Compressive Tracking via Online Vector Boosting Feature Selection.

Qingshan Liu, Jing Yang, Kaihua Zhang, Yi Wu

IEEE Trans. Cybern., 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, Bo Huang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images.

Renlong Hang, Qingshan Liu, Yubao Sun, Xiaotong Yuan, Hucheng Pei, Javier Plaza, Antonio Plaza

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis.

Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun, Fuping Zhu, Hucheng Pei

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.

Qingshan Liu, Yubao Sun, Renlong Hang, Huihui Song

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Hypergraph Embedding for Spatial-Spectral Joint Feature Extraction in Hyperspectral Images.

Yubao Sun, Sujuan Wang, Qingshan Liu, Renlong Hang, Guangcan Liu

Remote. Sens., 2017

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.

Qingshan Liu, Feng Zhou, Renlong Hang, Xiaotong Yuan

Remote. Sens., 2017

Robust facial landmark tracking via cascade regression.

Qingshan Liu, Jing Yang, Jiankang Deng, Kaihua Zhang

Pattern Recognit., 2017

Newton-Type Greedy Selection Methods for ℓ₀-Constrained Minimization.

Xiao-Tong Yuan, Qingshan Liu

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit.

Guangcan Liu, Qingshan Liu, Ping Li

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Face image retrieval based on shape and texture feature fusion.

Zongguang Lu, Jing Yang, Qingshan Liu

Comput. Vis. Media, 2017

A New Theory for Matrix Completion.

Guangcan Liu, Qingshan Liu, Xiaotong Yuan

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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, Renlong Hang

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization.

Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the 34th International Conference on Machine Learning, 2017

Stacked Hourglass Network for Robust Facial Landmark Localisation.

Jing Yang, Qingshan Liu, Kaihua Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Self-Paced Multi-Task Learning.

Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Efficient χ² Kernel Linearization via Random Feature Maps.

Xiao-Tong Yuan, Zhenzhen Wang, Jiankang Deng, Qingshan Liu

IEEE Trans. Neural Networks Learn. Syst., 2016

Max-Margin-Based Discriminative Feature Learning.

Changsheng Li, Qingshan Liu, Weishan Dong, Fan Wei, Xin Zhang, Lin Yang

IEEE Trans. Neural Networks Learn. Syst., 2016

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.

Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi

IEEE Trans. Medical Imaging, 2016

Robust Visual Tracking via Convolutional Networks Without Training.

Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang

IEEE Trans. Image Process., 2016

Dual Sparse Constrained Cascade Regression for Robust Face Alignment.

Qingshan Liu, Jiankang Deng, Dacheng Tao

IEEE Trans. Image Process., 2016

Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion.

Renlong Hang, Qingshan Liu, Huihui Song, Yubao Sun

IEEE Trans. Geosci. Remote. Sens., 2016

FaceHunter: A multi-task convolutional neural network based face detector.

Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu

Signal Process. Image Commun., 2016

A Deterministic Analysis for LRR.

Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2016

M³ CSR: Multi-view, multi-scale and multi-component cascade shape regression.

Jiankang Deng, Qingshan Liu, Jing Yang, Dacheng Tao

Image Vis. Comput., 2016

Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble.

Wei Chen, Kaihua Zhang, Qingshan Liu

Neurocomputing, 2016

Robust object tracking by online Fisher discrimination boosting feature selection.

Jing Yang, Kaihua Zhang, Qingshan Liu

Comput. Vis. Image Underst., 2016

Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning.

Kaihua Zhang, Xuejun Li, Qingshan Liu

CoRR, 2016

Visual Tracking via Boolean Map Representations.

Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang

CoRR, 2016

Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval.

Yubao Sun, Renlong Hang, Qingshan Liu, Fuping Zhu, Hucheng Pei

CoRR, 2016

Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification.

Qingshan Liu, Renlong Hang, Huihui Song, Fuping Zhu, Javier Plaza, Antonio Plaza

CoRR, 2016

Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification.

Qingshan Liu, Renlong Hang, Huihui Song, Zhi Li

CoRR, 2016

A Self-Paced Regularization Framework for Multi-Label Learning.

Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Xiaoyu Zhang

CoRR, 2016

Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.

Xiao-Tong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Advancing Iterative Quantization Hashing Using Isotropic Prior.

Lai Li, Guangcan Liu, Qingshan Liu

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Efficient k-Support-Norm Regularized Minimization via Fully Corrective Frank-Wolfe Method.

Bo Liu, Xiao-Tong Yuan, Shaoting Zhang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Decentralized Robust Subspace Clustering.

Bo Liu, Xiao-Tong Yuan, Yang Yu, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Spatially Regularized Streaming Sensor Selection.

Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Ordinal Distance Metric Learning for Image Ranking.

Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu

IEEE Trans. Neural Networks Learn. Syst., 2015

Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution.

Huihui Song, Bo Huang, Qingshan Liu, Kaihua Zhang

IEEE Trans. Geosci. Remote. Sens., 2015

Learning Multiscale Active Facial Patches for Expression Analysis.

Lin Zhong, Qingshan Liu, Peng Yang, Junzhou Huang, Dimitris N. Metaxas

IEEE Trans. Cybern., 2015

A Variational Approach to Simultaneous Image Segmentation and Bias Correction.

Kaihua Zhang, Qingshan Liu, Huihui Song, Xuelong Li

IEEE Trans. Cybern., 2015

Human Age Estimation Based on Locality and Ordinal Information.

Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu

IEEE Trans. Cybern., 2015

Inferring occluded features for fast object detection.

Shengye Yan, Qingshan Liu

Signal Process., 2015

How friends affect user behaviors? An exploration of social relation analysis for recommendation.

Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu

Knowl. Based Syst., 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, Yubao Sun, Qingshan Liu

计算机科学, 2015

Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network.

Liguo Weng, Min Xia, Wei Wang, Qingshan Liu

Int. J. Syst. Sci., 2015

Low rank driven robust facial landmark regression.

Jiankang Deng, Yubao Sun, Qingshan Liu, Hanqing Lu

Neurocomputing, 2015

Sparse random projection for χ² kernel linearization: Algorithm and applications to image classification.

Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu

Neurocomputing, 2015

Robust Tracking via Convolutional Networks without Learning.

Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang

CoRR, 2015

Active Sample Learning and Feature Selection: A Unified Approach.

Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha

CoRR, 2015

Hierarchical Convolutional Neural Network for Face Detection.

Dong Wang, Jing Yang, Jiankang Deng, Qingshan Liu

Proceedings of the Image and Graphics - 8th International Conference, 2015

Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression.

Jing Yang, Jiankang Deng, Kaihua Zhang, Qingshan Liu

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Additive Nearest Neighbor Feature Maps.

Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Convolutional Neural Networks for Clothes Categories.

Zhi Li, Yubao Sun, Feng Wang, Qingshan Liu

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

Learning Discriminative Dictionary for Group Sparse Representation.

Yubao Sun, Qingshan Liu, Jinhui Tang, Dacheng Tao

IEEE Trans. Image Process., 2014

Learning the object location, scale and view for image categorization with adapted classifier.

Shengye Yan, Xinxing Xu, Qingshan Liu

Inf. Sci., 2014

Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination.

Liguo Weng, Qingshan Liu, Min Xia, Yongduan Song

Neurocomputing, 2014

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance.

Shengye Yan, Xinxing Xu, Qingshan Liu

Int. J. Autom. Comput., 2014

Max-Margin based Discriminative Feature Learning.

Changsheng Li, Qingshan Liu, Weishan Dong, Xin Zhang, Lin Yang

CoRR, 2014

MORES: Online Incremental Multiple-Output Regression for Data Streams.

Changsheng Li, Weishan Dong, Qingshan Liu, Xin Zhang

CoRR, 2014

Discriminative Context Models for Collective Activity Recognition.

Chaoyang Zhao, Wei Fu, Jinqiao Wang, Xiao Bai, Qingshan Liu, Hanqing Lu

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multiple-Output Regression with High-Order Structure Information.

Changsheng Li, Lin Yang, Qingshan Liu, Fanjing Meng, Weishan Dong, Yu Wang, Jingmin Xu

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Fast Visual Tracking via Dense Spatio-temporal Context Learning.

Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang

Proceedings of the Computer Vision - ECCV 2014, 2014

Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization.

Xiao-Tong Yuan, Qingshan Liu

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Ordinal regularized manifold feature extraction for image ranking.

Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu

Signal Process., 2013

Monitoring activity of taking medicine by incorporating RFID and video analysis.

Faiz M. Hasanuzzaman, Xiaodong Yang, Yingli Tian, Qingshan Liu, Elizabeth Capezuti

Netw. Model. Anal. Health Informatics Bioinform., 2013

Recognizing expressions from face and body gesture by temporal normalized motion and appearance features.

Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas

Image Vis. Comput., 2013

Learning for scalable multimedia representation.

Qingshan Liu, Yueting Zhuang

Neurocomputing, 2013

Video event description in scene context.

Chunmei Liu, Changbo Hu, Qingshan Liu, J. K. Aggarwal

Neurocomputing, 2013

A Weighted One Class Collaborative Filtering with Content Topic Features.

Ting Yuan, Jian Cheng, Xi Zhang, Qingshan Liu, Hanqing Lu

Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

2012

Special Section on Object and Event Classification in Large-Scale Video Collections.

Changsheng Xu, Alan Hanjalic, Shuicheng Yan, Qingshan Liu, Alan F. Smeaton

IEEE Trans. Multim., 2012

Temporal Spectral Residual for fast salient motion detection.

Xinyi Cui, Qingshan Liu, Shaoting Zhang, Fei Yang, Dimitris N. Metaxas

Neurocomputing, 2012

Ordinal preserving projection: a novel dimensionality reduction method for image ranking.

Changsheng Li, Jing Liu, Yan Liu, Changsheng Xu, Qingshan Liu, Hanqing Lu

Proceedings of the International Conference on Multimedia Retrieval, 2012

Learning distance metric regression for facial age estimation.

Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning active facial patches for expression analysis.

Lin Zhong, Qingshan Liu, Peng Yang, Bo Liu, Junzhou Huang, Dimitris N. Metaxas

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning ordinal discriminative features for age estimation.

Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

A Component-Based Framework for Generalized Face Alignment.

Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas

IEEE Trans. Syst. Man Cybern. Part B, 2011

Identifying Regional Cardiac Abnormalities From Myocardial Strains Using Nontracking-Based Strain Estimation and Spatio-Temporal Tensor Analysis.

Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel

IEEE Trans. Medical Imaging, 2011

Hypergraph with sampling for image retrieval.

Qingshan Liu, Yuchi Huang, Dimitris N. Metaxas

Pattern Recognit., 2011

Unsupervised Image Categorization by Hypergraph Partition.

Yuchi Huang, Qingshan Liu, Fengjun Lv, Yihong Gong, Dimitris N. Metaxas

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Dynamic soft encoded patterns for facial event analysis.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2011

Content quality based image retrieval with multiple instance boost ranking.

Peng Yang, Hui Li, Qingshan Liu, Lin Zhong, Dimitris N. Metaxas

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Segment and recognize expression phase by fusion of motion area and neutral divergence features.

Shizhi Chen, Yingli Tian, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Abnormal detection using interaction energy potentials.

Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A Framework for the Recognition of Nonmanual Markers in Segmented Sequences of American Sign Language.

Nicholas Michael, Peng Yang, Qingshan Liu, Dimitris N. Metaxas, Carol Neidle

Proceedings of the British Machine Vision Conference, 2011

Identifying medicine bottles by incorporating RFID and video analysis.

Faiz M. Hasanuzzaman, Yingli Tian, Qingshan Liu

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010

Lennard-Jones force field for geometric active contour.

Zhenglong Li, Qingshan Liu, Hanqing Lu, Dimitris N. Metaxas

Signal Process., 2010

Lesion-Specific Coronary Artery Calcium Quantification for Predicting Cardiac Event with Multiple Instance Support Vector Machines.

Qingshan Liu, Zhen Qian, Idean Marvasty, Sarah Rinehart, Szilard Voros, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Exploring facial expressions with compositional features.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Image retrieval via probabilistic hypergraph ranking.

Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris N. Metaxas

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Boosting encoded dynamic features for facial expression recognition.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Pattern Recognit. Lett., 2009

Introduction to the special issue on Video-based Object and Event Analysis.

Shiguang Shan, Qingshan Liu, Dacheng Tao, Dong Xu, Shuicheng Yan, Xuelong Li

Pattern Recognit. Lett., 2009

Image annotation via graph learning.

Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma

Pattern Recognit., 2009

Introduction to computer vision and image understanding the special issue on video analysis.

Qingshan Liu, Xuelong Li, Ahmed M. Elgammal, Xian-Sheng Hua, Dong Xu, Dacheng Tao

Comput. Vis. Image Underst., 2009

Temporal spectral residual: fast motion saliency detection.

Xinyi Cui, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the 17th International Conference on Multimedia 2009, 2009

A variational multi-view learning framework and its application to image segmentation.

Zhenglong Li, Qingshan Liu, Hanqing Lu

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Expanded bag of words representation for object classification.

Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu

Proceedings of the International Conference on Image Processing, 2009

RankBoost with l1 regularization for facial expression recognition and intensity estimation.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Video object segmentation by hypergraph cut.

Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

A Multimodal Scheme for Program Segmentation and Representation in Broadcast Video Streams.

Jinqiao Wang, Ling-Yu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin

IEEE Trans. Multim., 2008

A new extension of kernel feature and its application for visual recognition.

Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma

Neurocomputing, 2008

Identifying Regional Cardiac Abnormalities from Myocardial Strains Using Spatio-temporal Tensor Analysis.

Zhen Qian, Qingshan Liu, Dimitris N. Metaxas, Leon Axel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A novel learning based segmentation method for rodent brain structures using MRI.

Jinghao Zhou, Sukmoon Chang, Qingshan Liu, George J. Pappas, Vasilios Boronikolas, Michael Michaelides, Nora D. Volkow, Panayotis K. Thanos, Dimitris N. Metaxas

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Urban Change Detection based on Local Features and Multiscale Fusion.

Chunlei Huo, Zhixin Zhou, Qingshan Liu, Jian Cheng, Hanqing Lu, Keming Chen

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A Multilevel Contextual Approach to Change Detection for very high Resolution Images.

Chunlei Huo, Keming Chen, Zhixin Zhou, Hanqing Lu, Jian Cheng, Qingshan Liu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

A variational inference based approach for image segmentation.

Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Human-centered image navigation on mobile devices.

Cunxun Zang, Qingshan Liu, Jian Cheng, Hanqing Lu

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Unifying Subspace and Distance Metric Learning with Bhattacharyya Coefficient for Image Classification.

Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Emerging Trends in Visual Computing, 2008

Similarity Features for Facial Event Analysis.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Computer Vision, 2008

Facial expression recognition using encoded dynamic features.

Peng Yang, Qingshan Liu, Xinyi Cui, Dimitris N. Metaxas

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

An improved variable-size block-matching algorithm.

Haifeng Wang, Qingshan Liu, Hanqing Lu

Multim. Tools Appl., 2007

Automatic TV Logo Detection, Tracking and Removal in Broadcast Video.

Jinqiao Wang, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu

Proceedings of the Advances in Multimedia Modeling, 2007

Registration of Lung Tissue Between Fluoroscope and CT Images: Determination of Beam Gating Parameters in Radiotherapy.

Sukmoon Chang, Jinghao Zhou, Qingshan Liu, Dimitris N. Metaxas, Bruce G. Haffty, Sung N. Kim, Salma J. Jabbour, Ning J. Yue

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

A New Multimedia Message Customizing Framework for mobile Devices.

Cunxun Zang, Qingshan Liu, Hanqing Lu, Kongqiao Wang

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Facial Expression Recognition using Encoded Dynamic Features.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Robust Commercial Retrieval in Video Streams.

Jinqiao Wang, Lingyu Duan, Qingshan Liu, Hanqing Lu, Jesse S. Jin

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Image Annotation Refinement using NSC-Based Word Correlation.

Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

A Component Based Deformable Model for Generalized Face Alignment.

Yuchi Huang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition.

Peng Yang, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Topology-Preserved Diffusion Distance for Histogram Comparison.

Wang Yan, Qiqi Wang, Qingshan Liu, Hanqing Lu, Songde Ma

Proceedings of the British Machine Vision Conference 2007, 2007

A Unified Framework of Subspace and Distance Metric Learning for Face Recognition.

Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

Face Mis-alignment Analysis by Multiple-Instance Subspace.

Zhiguo Li, Qingshan Liu, Dimitris N. Metaxas

Proceedings of the Computer Vision, 2007

Image Segmentation Using Co-EM Strategy.

Zhenglong Li, Jian Cheng, Qingshan Liu, Hanqing Lu

Proceedings of the Computer Vision, 2007

2006

Face recognition using kernel scatter-difference-based discriminant analysis.

Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma

IEEE Trans. Neural Networks, 2006

Ensemble learning for independent component analysis.

Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen

Pattern Recognit., 2006

A framework for providing adaptive sports video to mobile devices.

Cunxun Zang, Qingshan Liu, Xiaofeng Tong, Hanqing Lu

Proceedings of the 2nd International Conference on Mobile Multimedia Communications, 2006

An adaptive graph model for automatic image annotation.

Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, Hanqing Lu

Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006

Dynamic Similarity Kernel for Visual Recognition.

Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Occlusion Robust Face Recognition with Dynamic Similarity Features.

Qingshan Liu, Wang Yan, Hanqing Lu, Songde Ma

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Geometric Active Contour Framework using Multi-Cue and Local Feature.

Zhenglong Li, Qingshan Liu, Hanqing Lu

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction.

Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Web Image Mining Based on Modeling Concept-Sensitive Salient Regions.

Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, Songde Ma

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Multiple Similarities Based Kernel Subspace Learning for Image Classification.

Wang Yan, Qingshan Liu, Hanqing Lu, Songde Ma

Proceedings of the Computer Vision, 2006

Fast Global Motion Estimation Via Iterative Least-Square Method.

Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu

Proceedings of the Computer Vision, 2006

Automatic Moving Object Segmentation with Accurate Boundaries.

Jia Wang, Haifeng Wang, Qingshan Liu, Hanqing Lu

Proceedings of the Computer Vision, 2006

Boosting Multi-gabor Subspaces for Face Recognition.

Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma

Proceedings of the Computer Vision, 2006

A Geometric Contour Framework with Vector Field Support.

Zhenglong Li, Qingshan Liu, Hanqing Lu

Proceedings of the Computer Vision, 2006

2005

Supervised kernel locality preserving projections for face recognition.

Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen

Neurocomputing, 2005

Fast Global Motion Estimation via Modified ILSE Method.

Jia Wang, Hanqing Lu, Qingshan Liu

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2005), 2005

Highlight ranking for sports video browsing.

Xiaofeng Tong, Qingshan Liu, Yifan Zhang, Hanqing Lu

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Providing on-demand sports video to mobile devices.

Qingshan Liu, Zhigang Hua, Cunxun Zang, Xiaofeng Tong, Hanqing Lu

Proceedings of the 13th ACM International Conference on Multimedia, 2005

Semantic knowledge extraction and annotation for web images.

Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing Lu

Proceedings of the 13th ACM International Conference on Multimedia, 2005

A unified framework for semantic shot representation of sports video.

Xiaofeng Tong, Qingshan Liu, Lingyu Duan, Hanqing Lu, Changsheng Xu, Qi Tian

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

AIRE: an ambient interactive and responsive environment for mobile image management.

Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma

Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services, 2005

Learning Local Descriptors for Face Detection.

Hongliang Jin, Qingshan Liu, Xiaoou Tang, Hanqing Lu

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

A Nonlinear Approach for Face Sketch Synthesis and Recognition.

Qingshan Liu, Xiaoou Tang, Hongliang Jin, Hanqing Lu, Songde Ma

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Improving kernel Fisher discriminant analysis for face recognition.

Qingshan Liu, Hanqing Lu, Songde Ma

IEEE Trans. Circuits Syst. Video Technol., 2004

Improving ICA Performance for Modeling Image Appearance with the Kernel Trick.

Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Random Independent Subspace for Face Recognition.

Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Tensor Voting Toward Feature Space Analysis.

Jia Wang, Hanqing Lu, Qingshan Liu

Proceedings of the 17th International Conference on Pattern Recognition, 2004

An Effective and Fast Soccer Ball Detection and Tracking Method.

Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition.

Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Distance Based Kernel PCA Image Reconstruction.

Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Texture Classification Using Kernel Independent Component Analysi.

Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A three-layer event detection framework and its application in soccer video.

Xiao-Feng Tong, Han-Qing Lu, Qingshan Liu

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Feature space analysis using low-order tensor voting.

Jia Wang, Hanqing Lu, Qingshan Liu

Proceedings of the 2004 International Conference on Image Processing, 2004

Semantic units based events detection in soccer videos.

Xiaofeng Tong, Qingshan Liu, Hanqing Lu

Proceedings of the 2004 International Conference on Image Processing, 2004

A supervised nonlinear local embedding for face recognition.

Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen

Proceedings of the 2004 International Conference on Image Processing, 2004

Replay detection in broadcasting sports video.

Xiaofeng Tong, Hanqing Lu, Qingshan Liu, Hongliang Jin

Proceedings of the Third International Conference on Image and Graphics, 2004

Robust color-based tracking.

Feng Liu, Qingshan Liu, Hanqing Lu

Proceedings of the Third International Conference on Image and Graphics, 2004

Face detection using improved LBP under Bayesian framework.

Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong

Proceedings of the Third International Conference on Image and Graphics, 2004

Modeling Face Appearance With Nonlinear Independent Component Analysis.

Qingshan Liu, Jian Cheng, Hanqing Lu, Songde Ma

Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Face Detection Using One-Class-Based Support Vectors.

Hongliang Jin, Qingshan Liu, Hanqing Lu

Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003

Kernel-Based Nonlinear Discriminant Analysis for Face Recognition.

Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma

J. Comput. Sci. Technol., 2003

2002

Head Tracking Using Shapes and Adaptive Color Histograms.

Qingshan Liu, Songde Ma, Hanqing Lu

J. Comput. Sci. Technol., 2002

Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition.

Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Solving the Small Sample Size Problem of LDA.

Rui Huang, Qingshan Liu, Hanqing Lu, Songde Ma

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Face Recognition Using Kernel Based Fisher Discriminant Analysis.

Qingshan Liu, Rui Huang, Hanqing Lu, Songde Ma

Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002