A density-based approach for text extraction in images. - Fang Liu 011; Xiang Peng; Tianjiang Wang; Songfeng Lu (ICPR, 2008)

Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. - Fang Liu 011; Shaohua Zhu; Yuxiao Fu; Fan Fan; Tianjiang Wang; Songfeng Lu (PRICAI, 2008)

AutoTutor Lite. - Xiangen Hu; Zhiqiang Cai 002; Lu Han; Scotty D. Craig; Tianjiang Wang; Arthur C. Graesser (AIED, 2009)

Shape of Gaussians as feature descriptors. - Liyu Gong; Tianjiang Wang; Fang Liu 011 (CVPR, 2009)

A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. - Liyu Gong; Tianjiang Wang; Yan Yu; Fang Liu 011; Xiangen Hu (ICIMCS, 2009)

A Lie group based spatiogram similarity measure. - Liyu Gong; Tianjiang Wang; Fang Liu 011; Gang Chen (ICME, 2009)

Fast and robust video copy detection scheme using full DCT coefficients. - Zhihua Xu; Hefei Ling; Fuhao Zou; Zhengding Lu; Ping Li 021; Tianjiang Wang (ICME, 2009)

Music retrieval based on a multi-samples selection strategy for support vector machine active learning. - Tianjiang Wang; Gang Chen; Perfecto Herrera (SAC, 2009)

Multi-Agent Group Programming Based On Co-evolution. - Wenjun Liu; Tianjiang Wang; Fang Liu 011 (Comput. J., 2009)

Learning Gradients with Gaussian Processes. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Paul Wing Hing Kwan (PAKDD (2), 2010)

Recognizing affect from non-stylized body motion using shape of Gaussian descriptors. - Liyu Gong; Tianjiang Wang; Chengshuo Wang; Fang Liu 011; Fuqiang Zhang; Xiaoyuan Yu (SAC, 2010)

Interactively multiphase image segmentation based on variational formulation and graph cuts. - Wenbing Tao; Feng Chang; Liman Liu; Hai Jin 001; Tianjiang Wang (Pattern Recognit., 2010)

Fast image segmentation based on multilevel banded closed-form method. - Shoudong Han; Wenbing Tao; Xianglin Wu; Xue-Cheng Tai; Tianjiang Wang (Pattern Recognit. Lett., 2010)

Thin Plate Spline Latent Variable Models for dimensionality reduction. - Xinwei Jiang; Junbin Gao; Daming Shi 001; Tianjiang Wang (IJCNN, 2012)

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Lihong Zheng (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Effective head pose estimation using Lie Algebrized Gaussians. - Chunlong Hu; Liyu Gong; Tianjiang Wang; Qi Feng 003 (ICME, 2013)

Using Neural Networks and Self-Organizing Maps for Image Connecting. - Yi Ding 007; Tianjiang Wang; Xian Fu (Cogn. Comput., 2013)

Automated identification of animal species in camera trap images. - Xiaoyuan Yu; Jiangping Wang; Roland Kays; Patrick A. Jansen; Tianjiang Wang; Thomas S. Huang (EURASIP J. Image Video Process., 2013)

A novel feature descriptor based on biologically inspired feature for head pose estimation. - Bingpeng Ma; Xiujuan Chai; Tianjiang Wang (Neurocomputing, 2013)

Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. - Yong Yang; Shoudong Han; Tianjiang Wang; Wenbing Tao; Xue-Cheng Tai (Pattern Recognit., 2013)

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. - Guangpu Shao; Junbin Gao; Tianjiang Wang; Fang Liu 011; Yucheng Shu; Yong Yang (DICTA, 2014)

Learning features for action recognition and identity with deep belief networks. - Khawlah Hussein Ali; Tianjiang Wang (ICAILP, 2014)

Edge orientation spatiogram for silhouette image retrieval. - Yan Yu; Tianjiang Wang; Yanli Liu (ICDIP, 2014)

Recognition of Human Action and Identification Based on SIFT and Watermark. - Khawlah Hussein Ali; Tianjiang Wang (ICIC (2), 2014)

DTRF: A physiologically motivated method for image description. - Yucheng Shu; Tianjiang Wang; Guangpu Shao; Fang Liu 011; Qi Feng 003 (ICIP, 2014)

Fuzzy c-means clustering with a new regularization term for image segmentation. - Guangpu Shao; Junbin Gao; Tianjiang Wang; Fang Liu 011; Yucheng Shu; Yong Yang (IJCNN, 2014)

Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. - Yucheng Shu; Tianjiang Wang; Guangpu Shao; Fang Liu 011; Qi Feng 003 (Neurocomputing, 2014)

Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. - Yong Yang; Ling Guo; Tianjiang Wang; Wenbing Tao; Guangpu Shao; Qi Feng 003 (Image Vis. Comput., 2014)

Anadvanced integrated framework for moving object tracking. - Gwang-Min Choe; Tianjiang Wang; Fang Liu 011; Chun-Hwa Choe; Hyo-Son So; Chol-Ung Pak (J. Zhejiang Univ. Sci. C, 2014)

An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. - Chunlong Hu; Liyu Gong; Tianjiang Wang; Fang Liu 011; Qi Feng 003 (Multim. Tools Appl., 2014)

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Daming Shi 001 (IEEE Trans. Cybern., 2014)

An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. - Chunyan Xu; Tianjiang Wang; Junbin Gao; Shougang Cao; Wenbing Tao; Fang Liu 011 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Sophisticated Tracking Framework with Combined Detector. - Gwang-Min Choe; Tianjiang Wang; Qi Feng 003; Chun-Hwa Choe; Sokmin Han; Hun Kim (ICIG (3), 2015)

Particle filter with spline resampling and global transition model. - Gwang-Min Choe; Tianjiang Wang; Fang Liu 011; Suchol Hyon; Jong Won Ha (IET Comput. Vis., 2015)

Action recognition using lie algebrized gaussians over dense local spatio-temporal features. - Meng Chen; Liyu Gong; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2015)

An advanced association of particle filtering and kernel based object tracking. - Gwang-Min Choe; Tianjiang Wang; Fang Liu 011; Chun-Hwa Choe; Manhung Jong (Multim. Tools Appl., 2015)

Visual tracking based on particle filter with spline resampling. - Gwang-Min Choe; Tianjiang Wang; Fang Liu 011; Chun-Hwa Choe; Hyo-Son So (Multim. Tools Appl., 2015)

Moving object tracking based on geogram. - Gwang-Min Choe; Tianjiang Wang; Fang Liu 011; Gwangho Li; Hyongwang O; Songryong Kim (Multim. Tools Appl., 2015)

Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature. - Chunlong Hu; Liyu Gong; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2015)

Subcategory-Aware Object Detection. - Xiaoyuan Yu; Jianchao Yang; Zhe Lin 001; Jiangping Wang; Tianjiang Wang; Thomas S. Huang (IEEE Signal Process. Lett., 2015)

Facial Analysis With a Lie Group Kernel. - Chunyan Xu; Canyi Lu; Junbin Gao; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2015)

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. - Chunyan Xu; Canyi Lu; Junbin Gao; Wei Zheng; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2015)

Key Point Detection by Max Pooling for Tracking. - Xiaoyuan Yu; Jianchao Yang; Tianjiang Wang; Thomas S. Huang (IEEE Trans. Cybern., 2015)

Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition. - Meng Chen; Liyu Gong; Tianjiang Wang; Fang Liu 011; Qi Feng 003 (Multim. Tools Appl., 2016)

Combined salience based person re-identification. - Gwang-Min Choe; Caihong Yuan; Tianjiang Wang; Qi Feng 003; Gyong-Il Hyon; Chun-Hwa Choe; Jonghwan Ri; Gumhyok Ji (Multim. Tools Appl., 2016)

Discriminative transform of receptive field patterns for feature representation. - Yucheng Shu; Tianjiang Wang; Guangpu Shao; Chunlong Hu (Multim. Tools Appl., 2016)

Multi-loss Regularized Deep Neural Network. - Chunyan Xu; Canyi Lu; Xiaodan Liang; Junbin Gao; Wei Zheng; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2016)

Sparse representation combined with context information for visual tracking. - Ping Feng; Chunyan Xu; Zhiqiang Zhao; Fang Liu 011; Caihong Yuan; Tianjiang Wang; Kui Duan (Neurocomputing, 2017)

Dual-scale structural local sparse appearance model for robust object tracking. - Zhiqiang Zhao; Ping Feng; Tianjiang Wang; Fang Liu 011; Caihong Yuan; Jingjuan Guo; Zhijian Zhao; Zongmin Cui (Neurocomputing, 2017)

Objectness Region Enhancement Networks for Scene Parsing. - Xin-Yu Ou; Ping Li 021; Hefei Ling; Si Liu 001; Tianjiang Wang; Dan Li 012 (J. Comput. Sci. Technol., 2017)

Remarkable local resampling based on particle filter for visual tracking. - Zhiqiang Zhao; Tianjiang Wang; Fang Liu 011; Gwang-Min Choe; Caihong Yuan; Zongmin Cui (Multim. Tools Appl., 2017)

A deep features based generative model for visual tracking. - Ping Feng; Chunyan Xu; Zhiqiang Zhao; Fang Liu 011; Jingjuan Guo; Caihong Yuan; Tianjiang Wang; Kui Duan (Neurocomputing, 2018)

A hybrid tracking framework based on kernel correlation filtering and particle filtering. - Zhiqiang Zhao; Ping Feng; Jingjuan Guo; Caihong Yuan; Tianjiang Wang; Fang Liu 011; Zhijian Zhao; Zongmin Cui; Bin Wu 021 (Neurocomputing, 2018)

Bi-branch deconvolution-based convolutional neural network for image classification. - Jingjuan Guo; Caihong Yuan; Zhiqiang Zhao; Ping Feng; Tianjiang Wang; Fang Liu 011 (Multim. Tools Appl., 2018)

Research on multi-camera information fusion method for intelligent perception. - Qi Feng 003; Tianjiang Wang; Fang Liu 011; Hefei Ling (Multim. Tools Appl., 2018)

Deep multi-instance learning for end-to-end person re-identification. - Caihong Yuan; Chunyan Xu; Tianjiang Wang; Fang Liu 011; Zhiqiang Zhao; Ping Feng; Jingjuan Guo (Multim. Tools Appl., 2018)

A Spiking Neural Network Architecture for Object Tracking. - Yihao Luo; Quanzheng Yi; Tianjiang Wang; Ling Lin; Yan Xu; Jing Zhou; Caihong Yuan; Jingjuan Guo; Ping Feng; Qi Feng 003 (ICIG (1), 2019)

Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6]. - Yi Ding 007; Qi Feng 003; Tianjiang Wang; Xian Fu (Neurocomputing, 2019)

A jointly learned deep embedding for person re-identification. - Caihong Yuan; Jingjuan Guo; Ping Feng; Zhiqiang Zhao; Chunyan Xu; Tianjiang Wang; Gwang-Min Choe; Kui Duan (Neurocomputing, 2019)

Facial Feature Recognition based on ASNMF Method. - Jing Zhou; Tianjiang Wang (KSII Trans. Internet Inf. Syst., 2019)

Deep feature learning with mixed distance maximization for person Re-identification. - Chun-Hwa Choe; Gwang-Min Choe; Tianjiang Wang; Sokmin Han; Caihong Yuan (Multim. Tools Appl., 2019)

Deep learning with particle filter for person re-identification. - Gwang-Min Choe; Chun-Hwa Choe; Tianjiang Wang; Hyo-Son So; Cholman Nam; Caihong Yuan (Multim. Tools Appl., 2019)

Densely convolutional and feature fused object detector. - Jingjuan Guo; Caihong Yuan; Zhiqiang Zhao; Ping Feng; Tianjiang Wang; Kui Duan (Multim. Tools Appl., 2019)

Learning deep embedding with mini-cluster loss for person re-identification. - Caihong Yuan; Jingjuan Guo; Ping Feng; Zhiqiang Zhao; Yihao Luo; Chunyan Xu; Tianjiang Wang; Kui Duan (Multim. Tools Appl., 2019)

PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images. - Meriem Sebai; Tianjiang Wang; Saad Ali Al-Fadhli (IEEE Access, 2020)

SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. - Yihao Luo; Min Xu; Caihong Yuan; Xiang Cao; Yan Xu; Tianjiang Wang; Qi Feng 003 (CoRR, 2020)

A long time tracking with BIN-NST and DRN. - Xi Li; Tianjiang Wang (J. Ambient Intell. Humaniz. Comput., 2020)

MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. - Meriem Sebai; Xinggang Wang; Tianjiang Wang (Medical Biol. Eng. Comput., 2020)

Object detector with enriched global context information. - Jingjuan Guo; Caihong Yuan; Zhiqiang Zhao; Ping Feng; Yihao Luo; Tianjiang Wang (Multim. Tools Appl., 2020)

Robust object tracking based on ridge regression and multi-scale local sparse coding. - Zhiqiang Zhao; Liwen Xiong; Zhuolin Mei; Bin Wu 021; Zongmin Cui; Tianjiang Wang; Zhijian Zhao (Multim. Tools Appl., 2020)

FER based on the improved convex nonnegative matrix factorization feature. - Jing Zhou; Tianjiang Wang (Multim. Tools Appl., 2020)

SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. - Yihao Luo; Min Xu; Caihong Yuan; Xiang Cao; Liangqi Zhang; Yan Xu; Tianjiang Wang; Qi Feng 003 (ICANN (5), 2021)

Blind image super-resolution based on prior correction network. - Xiang Cao; Yihao Luo; Yi Xiao; Xianyi Zhu; Tianjiang Wang; Qi Feng 003; Zehan Tan (Neurocomputing, 2021)

DAEANet: Dual auto-encoder attention network for depth map super-resolution. - Xiang Cao; Yihao Luo; Xianyi Zhu; Liangqi Zhang; Yan Xu; Haibo Shen; Tianjiang Wang; Qi Feng 003 (Neurocomputing, 2021)

Minimum unbiased risk estimate based 2DPCA for color image denoising. - Mingli Wang 004; Xinwei Jiang; Junbin Gao; Tianjiang Wang; Chunlong Hu; Fang Liu 011; Qi Feng 003 (Neurocomputing, 2021)

Kernel Estimation Network for Blind Super-Resolution. - Xiang Cao; Haibo Shen; Liangqi Zhang; Yihao Luo; Tianjiang Wang (ICASSP, 2022)

Dynamic Multi-Scale Loss Balance for Object Detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Peng Cheng; Tianjiang Wang; Qi Feng 003 (ICASSP, 2022)

Multi-Scale Reinforcement Learning Strategy for Object Detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Leixilan Pan; Tianjiang Wang; Qi Feng 003 (ICASSP, 2022)

Efficient CNN Architecture Design Guided by Visualization. - Liangqi Zhang; Haibo Shen; Yihao Luo; Xiang Cao; Leixilan Pan; Tianjiang Wang; Qi Feng 003 (ICME, 2022)

Improved Regularization of Event-based Learning by Reversing and Drifting. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (CoRR, 2022)

Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (CoRR, 2022)

CE-FPN: enhancing channel information for object detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Jingjuan Guo; Haibo Shen; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2022)

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking. - Yihao Luo; Haibo Shen; Xiang Cao; Tianjiang Wang; Qi Feng 003; Zehan Tan (Neural Comput. Appl., 2022)

Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. - Haibo Shen; Yihao Luo; Xiang Cao; Liangqi Zhang; Juyu Xiao; Tianjiang Wang (ICASSP, 2023)

Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. - Haibo Shen; Juyu Xiao; Yihao Luo; Xiang Cao; Liangqi Zhang; Tianjiang Wang (ICASSP, 2023)

Frequency and Scale Perspectives of Feature Extraction. - Liangqi Zhang; Yihao Luo; Xiang Cao; Haibo Shen; Tianjiang Wang (ICASSP, 2023)

Dynamic multi-scale loss optimization for object detection. - Yihao Luo; Xiang Cao; Juntao Zhang; Peng Cheng; Tianjiang Wang; Qi Feng 003 (Multim. Tools Appl., 2023)

Three-dimensional object detection network based on geometric information supplement strategy. - Jing Zhou; Yiyu Hu; Xinhan Huang; Tianjiang Wang (Comput. Electr. Eng., 2023)

SEGANet: 3D object detection with shape-enhancement and geometry-aware network. - Jing Zhou; Yiyu Hu; Zhongyuan Lai; Tianjiang Wang (Comput. Electr. Eng., 2023)

A Fourier Perspective of Feature Extraction and Adversarial Robustness. - Liangqi Zhang; Yihao Luo; Haibo Shen; Tianjiang Wang (IJCAI, 2024)

Rescaled three-mode principal component analysis: An approach to subspace recovery. - Mingli Wang 004; Junbin Gao; Xinwei Jiang; Chunlong Hu; Feng Qin; Tianjiang Wang (Neural Networks, 2025)

UIEVUS: An underwater image enhancement method for various underwater scenes. - Siyi Ren; Xianqiang Bao; Tianjiang Wang; Xinghua Xu; Tao Ma; Kun Yu (Signal Process. Image Commun., 2025)