Qingshan Liu

发表

Ordinal regularized manifold feature extraction for image ranking

Changsheng Li, Jing Liu, Hanqing Lu, 2013, Signal Process..

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

Qingshan Liu, Guangcan Liu, Xiao-Tong Yuan, 2016, NIPS.

Robust Tracking via Convolutional Networks without Learning pdf

Qingshan Liu, Ming-Hsuan Yang, Kaihua Zhang, 2015, ArXiv.

Urban Change Detection based on Local Features and Multiscale Fusion

Hanqing Lu, Qingshan Liu, Chunlei Huo, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

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

Qingshan Liu, Guangcan Liu, Yubao Sun, 2017, Remote. Sens..

Exploring facial expressions with compositional features

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Abnormal detection using interaction energy potentials

Qingshan Liu, Dimitris N. Metaxas, Xinyi Cui, 2011, CVPR 2011.

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

Changsheng Xu, Yan Liu, Changsheng Li, 2012, ICMR.

A nonlinear approach for face sketch synthesis and recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Robust Visual Tracking via Convolutional Networks Without Training

Qingshan Liu, Ming-Hsuan Yang, Yi Wu, 2016, IEEE Transactions on Image Processing.

Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning pdf

Qingshan Liu, Xuejun Li, Kaihua Zhang, 2016, ArXiv.

Lennard-Jones force field for Geometric Active Contour

Hanqing Lu, Qingshan Liu, Dimitris N. Metaxas, 2008, ICPR.

Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part III

Xilin Chen, Qingshan Liu, Hongbin Zha, 2020, PRCV.

Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction pdf

Qingshan Liu, Ying Yang, Yubao Sun, 2020, ArXiv.

Learning active facial patches for expression analysis

Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Image Segmentation Using Co-EM Strategy

Hanqing Lu, Qingshan Liu, Jian Cheng, 2007, ACCV.

Face detection using one-class-based support vectors

Hanqing Lu, Qingshan Liu, Hongliang Jin, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

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

Qingshan Liu, Dimitris N. Metaxas, Carol Neidle, 2011, BMVC.

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

Qingshan Liu, Dimitris N. Metaxas, Sukmoon Chang, 2007, MICCAI.

Cooperative–Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints

Qingshan Liu, Jun Wang, Shaofu Yang, 2019, IEEE Transactions on Automatic Control.

PointNet-Based Channel Attention VLAD Network

Qingshan Liu, Hui Shuai, Rongrong Fan, 2019, PRCV.

Feature space analysis using low-order tensor voting

Jia Wang, Hanqing Lu, Qingshan Liu, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Hanqing Lu, Qingshan Liu, Songde Ma, 2006, ACCV.

Kernel scatter-difference based discriminant analysis for face recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Stacked Hourglass Network for Robust Facial Landmark Localisation

Qingshan Liu, Jing Yang, Kaihua Zhang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Facial expression recognition using encoded dynamic features

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2007, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2008, ECCV.

Spatially Regularized Streaming Sensor Selection

Xin Zhang, Changsheng Li, Qingshan Liu, 2016, AAAI.

Supervised kernel locality preserving projections for face recognition

Hanqing Lu, Qingshan Liu, Yen-Wei Chen, 2005, Neurocomputing.

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

Hanqing Lu, Qingshan Liu, Chunlei Huo, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Real-time manifold regularized context-aware correlation tracking

Qingshan Liu, Huihui Song, Kaihua Zhang, 2019, Frontiers of Computer Science.

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

Xi Zhang, Hanqing Lu, Qingshan Liu, 2015, Knowl. Based Syst..

A supervised nonlinear local embedding for face recognition

Yen-Wei Chen, Hanqing Lu, Qingshan Liu, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A Projection-Based Algorithm for Constrained L1- Minimization Optimization with Application to Sparse Signal Reconstruction

Qingshan Liu, Wei Zhang, Long Cheng, 2018, 2018 Eighth International Conference on Information Science and Technology (ICIST).

Improving ICA Performance for Modeling Image Appearance with the Kernel Trick

Hanqing Lu, Qingshan Liu, Songde Ma, 2004, KES.

Kernel-based nonlinear discriminant analysis for face recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2008, Journal of Computer Science and Technology.

An improved variable-size block-matching algorithm

Hanqing Lu, Qingshan Liu, Haifeng Wang, 2007, Multimedia Tools and Applications.

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

Qingshan Liu, Pedram Ghamisi, Renlong Hang, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Neural Information Processing

Tingwen Huang, Qingshan Liu, Weng Kin Lai, 2015, Lecture Notes in Computer Science.

Solving the small sample size problem of LDA

Hanqing Lu, Qingshan Liu, Songde Ma, 2002, Object recognition supported by user interaction for service robots.

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

Changsheng Xu, Alan F. Smeaton, Qingshan Liu, 2012, IEEE Trans. Multim..

A framework for providing adaptive sports video to mobile devices

Hanqing Lu, Qingshan Liu, Xiaofeng Tong, 2006, MobiMedia '06.

Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification pdf

Antonio J. Plaza, Qingshan Liu, Huihui Song, 2016, ArXiv.

Facial Expression Recognition using Encoded Dynamic Features

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2007, ICME.

Unsupervised Image Categorization by Hypergraph Partition

Yihong Gong, Qingshan Liu, Dimitris N. Metaxas, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Tengpeng Li, Qingshan Liu, Huihui Song, 2019, Multimedia Tools and Applications.

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

Tengpeng Li, Qingshan Liu, Kaihua Zhang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification

Antonio J. Plaza, Qingshan Liu, Javier Plaza, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Learning Local Descriptors for Face Detection

Hanqing Lu, Qingshan Liu, Xiaoou Tang, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Advances in Neural Networks – ISNN 2016

Andrey Ronzhin, Qingshan Liu, Long Cheng, 2016, Lecture Notes in Computer Science.

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

Qingshan Liu, Huihui Song, Yubao Sun, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Face detection using improved LBP under Bayesian framework

Hanqing Lu, Qingshan Liu, Xiaofeng Tong, 2004, Third International Conference on Image and Graphics (ICIG'04).

Providing on-demand sports video to mobile devices

Hanqing Lu, Qingshan Liu, Zhigang Hua, 2005, MULTIMEDIA '05.

Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression

Qingshan Liu, Jing Yang, Kaihua Zhang, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Improving the Spatial Resolution of FY-3 Microwave Radiation Imager via Fusion With FY-3/MERSI

Qingshan Liu, Anjie Cao, Huihui Song, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Hanqing Lu, Qingshan Liu, Zhenglong Li, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Temporal spectral residual: fast motion saliency detection

Qingshan Liu, Dimitris N. Metaxas, Xinyi Cui, 2009, ACM Multimedia.

Face recognition using kernel scatter-difference-based discriminant analysis

Hanqing Lu, Qingshan Liu, Songde Ma, 2006, IEEE Trans. Neural Networks.

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

Qingshan Liu, Huihui Song, Zhi Li, 2016, ArXiv.

A Collective Neurodynamic Approach to Distributed Constrained Optimization

Qingshan Liu, Jun Wang, Shaofu Yang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Matrix Completion with Deterministic Sampling: Theories and Methods

Qingshan Liu, Guangcan Liu, Xiao-Tong Yuan, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Convolutional neural networks with large-margin softmax loss function for cognitive load recognition

Qingshan Liu, Yuetian Liu, 2017, 2017 36th Chinese Control Conference (CCC).

Hanqing Lu, Qingshan Liu, Songde Ma, 2006, KES.

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

Qingshan Liu, Dimitris N. Metaxas, Xiao-Tong Yuan, 2017, ICML.

Learning distance metric regression for facial age estimation

Changsheng Li, Jing Liu, Hanqing Lu, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Random Independent Subspace for Face Recognition

Yen-Wei Chen, Hanqing Lu, Qingshan Liu, 2004, KES.

Face image retrieval based on shape and texture feature fusion

Qingshan Liu, Jing Yang, Zongguang Lu, 2017, Computational Visual Media.

Semantic units based events detection in soccer videos

Hanqing Lu, Qingshan Liu, Xiaofeng Tong, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Image Annotation Refinement using NSC-Based Word Correlation

Jing Liu, Hanqing Lu, Qingshan Liu, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Kernel-based optimized feature vectors selection and discriminant analysis for face recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2002, Object recognition supported by user interaction for service robots.

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization

Qingshan Liu, Jun Wang, Shaofu Yang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Qingshan Liu, Dimitris N. Metaxas, 2007, AMFG.

A Component-Based Framework for Generalized Face Alignment

Qingshan Liu, Dimitris N. Metaxas, Yuchi Huang, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Human Age Estimation Based on Locality and Ordinal Information

Changsheng Li, Jing Liu, Hanqing Lu, 2015, IEEE Transactions on Cybernetics.

Occlusion Robust Face Recognition with Dynamic Similarity Features

Hanqing Lu, Qingshan Liu, Songde Ma, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Head tracking using shapes and adaptive color histograms

Hanqing Lu, Qingshan Liu, Songde Ma, 2008, Journal of Computer Science and Technology.

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

Qingshan Liu, Xiao-Tong Yuan, Zhenzhen Wang, 2015, Neurocomputing.

Matrix Completion with Nonuniform Sampling: Theories and Methods pdf

Meng Wang, Qingshan Liu, Guangcan Liu, 2018, ArXiv.

Robust object tracking by online Fisher discrimination boosting feature selection

Qingshan Liu, Jing Yang, Kaihua Zhang, 2016, Comput. Vis. Image Underst..

Ordinal Distance Metric Learning for Image Ranking

Changsheng Li, Jing Liu, Hanqing Lu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Realization of Prescribed Performance Control for DC Converter System in DC Microgrid via Finite-Time Sliding Mode Observer

Zhigang Zeng, Qingshan Liu, Xingchen Xu, 2019, 2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM).

A unified framework for semantic shot representation of sports video

Qi Tian, Changsheng Xu, Ling-Yu Duan, 2005, MIR '05.

Hierarchical Convolutional Neural Network for Face Detection

Dong Wang, Qingshan Liu, Jing Yang, 2015, ICIG.

Web Image Mining Based on Modeling Concept-Sensitive Salient Regions

Jing Liu, Hanqing Lu, Qingshan Liu, 2006, 2006 IEEE International Conference on Multimedia and Expo.

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

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Ensemble learning for independent component analysis

Yen-Wei Chen, Hanqing Lu, Qingshan Liu, 2006, Pattern Recognit..

A variational inference based approach for image segmentation

Hanqing Lu, Qingshan Liu, Jian Cheng, 2008, 2008 19th International Conference on Pattern Recognition.

Robust facial landmark tracking via cascade regression

Qingshan Liu, Jing Yang, Kaihua Zhang, 2017, Pattern Recognit..

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

Qingshan Liu, Dimitris N. Metaxas, Zhen Qian, 2010, MICCAI.

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

Qingshan Liu, Dimitris N. Metaxas, Shaoting Zhang, 2016, IJCAI.

Texture classification using kernel independent component analysis

Hanqing Lu, Qingshan Liu, Yen-Wei Chen, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Trend Analysis of COVID-19 Based on Network Topology Description

Qingshan Liu, Tianrui Li, Jun Zhu, 2020, Frontiers in Physics.

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

Hanqing Lu, Qingshan Liu, Songde Ma, 2008, Neurocomputing.

A Weighted One Class Collaborative Filtering with Content Topic Features

Xi Zhang, Hanqing Lu, Qingshan Liu, 2013, MMM.

Tensor voting toward feature space analysis

Jia Wang, Hanqing Lu, Qingshan Liu, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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

Qingshan Liu, Huihui Song, Kaihua Zhang, 2020, PRCV.

Dynamic soft encoded patterns for facial event analysis

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2011, Comput. Vis. Image Underst..

RankBoost with l1 regularization for facial expression recognition and intensity estimation

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Learning ordinal discriminative features for age estimation

Changsheng Li, Jing Liu, Hanqing Lu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Hierarchical attentive Siamese network for real-time visual tracking

Qingshan Liu, Huihui Song, Kang Yang, 2019, Neural Computing and Applications.

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

Qingshan Liu, Kaihua Zhang, Huihui Song, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part II

Xilin Chen, Qingshan Liu, Hongbin Zha, 2020, PRCV.

Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part I

Xilin Chen, Qingshan Liu, Hongbin Zha, 2020, PRCV.

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit

Qingshan Liu, Guangcan Liu, Ping Li, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Qingshan Liu, Guangcan Liu, Zhenbo Yu, 2018, Neurocomputing.

Modeling face appearance with nonlinear independent component analysis

Hanqing Lu, Qingshan Liu, Songde Ma, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

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

Min Wu, Qingshan Liu, Guangcan Liu, 2018, Neurocomputing.

Boosting encoded dynamic features for facial expression recognition

Qingshan Liu, Dimitris N. Metaxas, Peng Yang, 2009, Pattern Recognit. Lett..

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

Qingshan Liu, Bo Liu, Dimitris N. Metaxas, 2019, AISTATS.

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

Qingshan Liu, Xiao-Feng Tong, Han-Qing Lu, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

A New Theory for Matrix Completion

Qingshan Liu, Guangcan Liu, Xiao-Tong Yuan, 2017, NIPS.

Identifying medicine bottles by incorporating RFID and video analysis

Qingshan Liu, Yingli Tian, Faiz M. Hasanuzzaman, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Temporal Spectral Residual for fast salient motion detection

Fei Yang, Qingshan Liu, Dimitris N. Metaxas, 2012, Neurocomputing.

Learning Multiscale Active Facial Patches for Expression Analysis

Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas, 2015, IEEE Transactions on Cybernetics.

An adaptive graph model for automatic image annotation

Wei-Ying Ma, Jing Liu, Hanqing Lu, 2006, MIR '06.

Convolutional Neural Networks for Clothes Categories

Qingshan Liu, Feng Wang, Zhi Li, 2015, CCCV.

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)

Qingshan Liu, Yubao Sun, Jiankang Deng, 2015, 计算机科学.

Robust color-based tracking

Feng Liu, Hanqing Lu, Qingshan Liu, 2004, Third International Conference on Image and Graphics (ICIG'04).

Visual tracking using spatio-temporally nonlocally regularized correlation filter

Qingshan Liu, Xuejun Li, Kaihua Zhang, 2018, Pattern Recognit..

Fast and Robust Subspace Clustering Using Random Projections pdf

Meng Wang, Qingshan Liu, Zhao Zhang, 2018, ArXiv.

Additive Nearest Neighbor Feature Maps

Qingshan Liu, Shuicheng Yan, Xiao-Tong Yuan, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Improving kernel Fisher discriminant analysis for face recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2004, IEEE Transactions on Circuits and Systems for Video Technology.

Expanded bag of words representation for object classification

Jing Liu, Hanqing Lu, Qingshan Liu, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A New Multimedia Message Customizing Framework for mobile Devices

Hanqing Lu, Kongqiao Wang, Qingshan Liu, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Hyperspectral Image Classification Using Spectral-Spatial LSTMs

Qingshan Liu, Xiao-Tong Yuan, Renlong Hang, 2017, CCCV.

Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction

Jia Wang, Hanqing Lu, Qingshan Liu, 2006, 2006 IEEE International Conference on Multimedia and Expo.

Fast Global Motion Estimation Via Iterative Least-Square Method

Jia Wang, Hanqing Lu, Qingshan Liu, 2006, ACCV.

Multiple-Output Regression with High-Order Structure Information

Changsheng Li, Qingshan Liu, Lin Yang, 2014, 2014 22nd International Conference on Pattern Recognition.

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

Qingshan Liu, Jiwei Chen, Yubao Sun, 2020, Pattern Recognit..

Replay detection in broadcasting sports video

Hanqing Lu, Qingshan Liu, Xiaofeng Tong, 2004, Third International Conference on Image and Graphics (ICIG'04).

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

Qingshan Liu, Dacheng Tao, Tongliang Liu, 2016, IEEE Transactions on Image Processing.

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

Qingshan Liu, Dimitris N. Metaxas, Yingli Tian, 2011, CVPR 2011 WORKSHOPS.

Learning Discriminative Dictionary for Group Sparse Representation

Qingshan Liu, Jinhui Tang, Dacheng Tao, 2014, IEEE Transactions on Image Processing.

A Lagrange Multiplier Method for Distributed Optimization Based on Multi-Agent Network With Private and Shared Information

Qingshan Liu, Yan Zhao, 2019, IEEE Access.

Image retrieval via probabilistic hypergraph ranking

Qingshan Liu, Dimitris N. Metaxas, Shaoting Zhang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Face Mis-alignment Analysis by Multiple-Instance Subspace

Qingshan Liu, Dimitris N. Metaxas, Zhiguo Li, 2007, ACCV.

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

Ling-Yu Duan, Hanqing Lu, Qingshan Liu, 2008, IEEE Transactions on Multimedia.

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

Qingshan Liu, Dimitris N. Metaxas, 2008, ETVC.

Monitoring activity of taking medicine by incorporating RFID and video analysis

Qingshan Liu, Xiaodong Yang, Yingli Tian, 2013, Network Modeling Analysis in Health Informatics and Bioinformatics.

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

Qingshan Liu, George J. Pappas, Dimitris N. Metaxas, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

Qingshan Liu, Xiao-Tong Yuan, Renlong Hang, 2018, PRCV.

Content quality based image retrieval with multiple instance boost ranking

Hui Li, Qingshan Liu, Dimitris N. Metaxas, 2011, MM '11.

Low rank driven robust facial landmark regression

Hanqing Lu, Qingshan Liu, Yubao Sun, 2015, Neurocomputing.

An effective and fast soccer ball detection and tracking method

Qingshan Liu, Xiao-Feng Tong, Han-Qing Lu, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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

Qingshan Liu, Dimitris N. Metaxas, Leon Axel, 2008, MICCAI.

Human-centered image navigation on mobile devices

Hanqing Lu, Qingshan Liu, Jian Cheng, 2008, 2008 IEEE International Conference on Multimedia and Expo.

A Geometric Contour Framework with Vector Field Support

Hanqing Lu, Qingshan Liu, Zhenglong Li, 2006, ACCV.

Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis

Qingshan Liu, Huihui Song, Yubao Sun, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Hanqing Lu, Qingshan Liu, Zhenglong Li, 2009, 2009 IEEE International Conference on Multimedia and Expo.

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

Changsheng Li, Qingshan Liu, Weishan Dong, 2014, ArXiv.

Advancing Iterative Quantization Hashing Using Isotropic Prior

Qingshan Liu, Guangcan Liu, Lai Li, 2016, MMM.

Image annotation via graph learning

Jing Liu, Hanqing Lu, Qingshan Liu, 2009, Pattern Recognit..

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

Xing Xie, Wei-Ying Ma, Hanqing Lu, 2005, Mobile HCI.

Visual Tracking via Boolean Map Representations

Qingshan Liu, Ming-Hsuan Yang, Kaihua Zhang, 2016, Pattern Recognit..

Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations

Yi Liu, Qingshan Liu, Renlong Hang, 2018, Remote. Sens..

Automatic TV Logo Detection, Tracking and Removal in Broadcast Video

Changsheng Xu, Ling-Yu Duan, Hanqing Lu, 2007, MMM.

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

Qingshan Liu, Pedram Ghamisi, Renlong Hang, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Parallel Sparse Subspace Clustering via Joint Sample and Parameter Blockwise Partition

Qingshan Liu, Yang Yu, Dimitris N. Metaxas, 2017, ACM Trans. Embed. Comput. Syst..

Hypergraph with sampling for image retrieval

Qingshan Liu, Dimitris N. Metaxas, Yuchi Huang, 2011, Pattern Recognit..

Distance based kernel PCA image reconstruction

Hanqing Lu, Qingshan Liu, Songde Ma, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices

Qingshan Liu, Ke Cheng, Jian Cheng, 2020, ECCV.

Hyperspectral Image Classification Using Spectral-Spatial LSTMs

Qingshan Liu, Xiao-Tong Yuan, Renlong Hang, 2017, CCCV.

Dual Sparse Constrained Cascade Regression for Robust Face Alignment

Qingshan Liu, Dacheng Tao, Jiankang Deng, 2016, IEEE Transactions on Image Processing.

Automatic Moving Object Segmentation with Accurate Boundaries

Jia Wang, Hanqing Lu, Qingshan Liu, 2006, ACCV.

A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition

Qingshan Liu, Tingwen Huang, Bingrong Xu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Semantic knowledge extraction and annotation for web images

Hanqing Lu, Qingshan Liu, Zhigang Hua, 2005, MULTIMEDIA '05.

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

Qingshan Liu, Dimitris N. Metaxas, Yingli Tian, 2011, Face and Gesture 2011.

A Variational Approach to Simultaneous Image Segmentation and Bias Correction

Xuelong Li, Qingshan Liu, Kaihua Zhang, 2015, IEEE Transactions on Cybernetics.

Lennard-Jones force field for Geometric Active Contour

Hanqing Lu, Qingshan Liu, Dimitris N. Metaxas, 2008, 2008 19th International Conference on Pattern Recognition.

Spatial–Spectral Locality-Constrained Low-Rank Representation with Semi-Supervised Hypergraph Learning for Hyperspectral Image Classification

Qingshan Liu, Huihui Song, Yubao Sun, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Component Based Deformable Model for Generalized Face Alignment

Qingshan Liu, Dimitris N. Metaxas, Yuchi Huang, 2007, 2007 IEEE 11th International Conference on Computer Vision.

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

Qingshan Liu, Xiao-Tong Yuan, Qingshan Liu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Self-Paced Multi-Task Learning

Changsheng Li, Qingshan Liu, Hongyuan Zha, 2016, AAAI.

Graph-regularized low-rank representation for aerosol optical depth retrieval

Qingshan Liu, Yubao Sun, Renlong Hang, 2016, ArXiv.

实时高置信度更新补充学习跟踪 (Real-time High-confidence Update Complementary Learner Tracking)

Qingshan Liu, Jiaqing Fan, Rongrong Fan, 2019, 计算机科学.

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

Qingshan Liu, Xiao-Tong Yuan, Renlong Hang, 2017, Remote. Sens..

Topology-Preserved Diffusion Distance for Histogram Comparison

Hanqing Lu, Qingshan Liu, Songde Ma, 2007, BMVC.

Boosting Multi-gabor Subspaces for Face Recognition

Hanqing Lu, Qingshan Liu, Songde Ma, 2006, ACCV.

Fast Global Motion Estimation via Modified ILSE Method

Jia Wang, Hanqing Lu, Qingshan Liu, 2005, MVA.

Fast Visual Tracking via Dense Spatio-temporal Context Learning

David Zhang, Lei Zhang, Qingshan Liu, 2014, ECCV.

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

Qingshan Liu, Dimitris N. Metaxas, Leon Axel, 2011, IEEE Transactions on Medical Imaging.

Robust Matrix Discriminative Analysis for Feature Extraction From Hyperspectral Images

Antonio J. Plaza, Qingshan Liu, Xiao-Tong Yuan, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

Wei Chen, Qingshan Liu, Kaihua Zhang, 2016, Neurocomputing.

A Deterministic Analysis for LRR

Qingshan Liu, Shuicheng Yan, Jinhui Tang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Active Sample Learning and Feature Selection: A Unified Approach pdf

Changsheng Li, Qingshan Liu, Hongyuan Zha, 2015, ArXiv.

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

Ahmed M. Elgammal, Qingshan Liu, Xian-Sheng Hua, 2009, Comput. Vis. Image Underst..

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

Qingshan Liu, Dacheng Tao, Jing Yang, 2016, Image Vis. Comput..

Decentralized Robust Subspace Clustering

Qingshan Liu, Yang Yu, Dimitris N. Metaxas, 2016, AAAI.

Highlight ranking for sports video browsing

Yifan Zhang, Hanqing Lu, Qingshan Liu, 2005, MULTIMEDIA '05.

Robust Commercial Retrieval in Video Streams

Ling-Yu Duan, Hanqing Lu, Qingshan Liu, 2007, 2007 IEEE International Conference on Multimedia and Expo.

Discriminative Context Models for Collective Activity Recognition

Hanqing Lu, Qingshan Liu, Jinqiao Wang, 2014, 2014 22nd International Conference on Pattern Recognition.