Tianjiang Wang

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 52

Top Topics

Object Tracking

Image Segmentation

Pose Estimation

Top Venues

Multim. Tools Appl.

Publications

Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
Frequency and Scale Perspectives of Feature Extraction. CoRR (2023)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. ICASSP (2023)
Jing Zhou, Yiyu Hu, Zhongyuan Lai, Tianjiang Wang
SEGANet: 3D object detection with shape-enhancement and geometry-aware network. Comput. Electr. Eng. 110 (2023)
Jing Zhou, Yiyu Hu, Xinhan Huang, Tianjiang Wang
Three-dimensional object detection network based on geometric information supplement strategy. Comput. Electr. Eng. 106 (2023)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. ICASSP (2023)
Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
Dynamic multi-scale loss optimization for object detection. Multim. Tools Appl. 82 (2) (2023)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. ICASSP (2023)
Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
Frequency and Scale Perspectives of Feature Extraction. ICASSP (2023)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching. CoRR (2023)
Xiang Cao, Haibo Shen, Liangqi Zhang, Yihao Luo, Tianjiang Wang
Kernel Estimation Network for Blind Super-Resolution. ICASSP (2022)
Yihao Luo, Xiang Cao, Juntao Zhang, Leixilan Pan, Tianjiang Wang, Qi Feng
Multi-Scale Reinforcement Learning Strategy for Object Detection. ICASSP (2022)
Yihao Luo, Haibo Shen, Xiang Cao, Tianjiang Wang, Qi Feng, Zehan Tan
Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking. Neural Comput. Appl. 34 (12) (2022)
Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
Efficient CNN Architecture Design Guided by Visualization. ICME (2022)
Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
Efficient CNN Architecture Design Guided by Visualization. CoRR (2022)
Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
Improved Regularization of Event-based Learning by Reversing and Drifting. CoRR (2022)
Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. CoRR (2022)
Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
Dynamic Multi-Scale Loss Balance for Object Detection. ICASSP (2022)
Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
CE-FPN: enhancing channel information for object detection. Multim. Tools Appl. 81 (21) (2022)
Xiang Cao, Yihao Luo, Yi Xiao, Xianyi Zhu, Tianjiang Wang, Qi Feng, Zehan Tan
Blind image super-resolution based on prior correction network. Neurocomputing 463 (2021)
Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. ICANN (5) (2021)
Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
CE-FPN: Enhancing Channel Information for Object Detection. CoRR (2021)
Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
Dynamic Multi-Scale Loss Optimization for Object Detection. CoRR (2021)
Xiang Cao, Yihao Luo, Xianyi Zhu, Liangqi Zhang, Yan Xu, Haibo Shen, Tianjiang Wang, Qi Feng
DAEANet: Dual auto-encoder attention network for depth map super-resolution. Neurocomputing 454 (2021)
Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng
Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing 440 (2021)
Meriem Sebai, Tianjiang Wang, Saad Ali Al-Fadhli
PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images. IEEE Access 8 (2020)
Zhiqiang Zhao, Liwen Xiong, Zhuolin Mei, Bin Wu, Zongmin Cui, Tianjiang Wang, Zhijian Zhao
Robust object tracking based on ridge regression and multi-scale local sparse coding. Multim. Tools Appl. 79 (1-2) (2020)
Xi Li, Tianjiang Wang
A long time tracking with BIN-NST and DRN. J. Ambient Intell. Humaniz. Comput. 11 (11) (2020)
Jing Zhou, Tianjiang Wang
FER based on the improved convex nonnegative matrix factorization feature. Multim. Tools Appl. 79 (35-36) (2020)
Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang
Object detector with enriched global context information. Multim. Tools Appl. 79 (39-40) (2020)
Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. CoRR (2020)
Meriem Sebai, Xinggang Wang, Tianjiang Wang
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Medical Biol. Eng. Comput. 58 (7) (2020)
Gwang-Min Choe, Chun-Hwa Choe, Tianjiang Wang, Hyo-Son So, Cholman Nam, Caihong Yuan
Deep learning with particle filter for person re-identification. Multim. Tools Appl. 78 (6) (2019)
Yi Ding, Qi Feng, Tianjiang Wang, Xian Fu
Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6]. Neurocomputing 366 (2019)
Chun-Hwa Choe, Gwang-Min Choe, Tianjiang Wang, Sokmin Han, Caihong Yuan
Deep feature learning with mixed distance maximization for person Re-identification. Multim. Tools Appl. 78 (19) (2019)
Jing Zhou, Tianjiang Wang
Facial Feature Recognition based on ASNMF Method. KSII Trans. Internet Inf. Syst. 13 (12) (2019)
Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Chunyan Xu, Tianjiang Wang, Gwang-Min Choe, Kui Duan
A jointly learned deep embedding for person re-identification. Neurocomputing 330 (2019)
Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan
Learning deep embedding with mini-cluster loss for person re-identification. Multim. Tools Appl. 78 (15) (2019)
Yihao Luo, Quanzheng Yi, Tianjiang Wang, Ling Lin, Yan Xu, Jing Zhou, Caihong Yuan, Jingjuan Guo, Ping Feng, Qi Feng
A Spiking Neural Network Architecture for Object Tracking. ICIG (1) (2019)
Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan
Densely convolutional and feature fused object detector. Multim. Tools Appl. 78 (24) (2019)
Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan
A deep features based generative model for visual tracking. Neurocomputing 308 (2018)
Feng Qi, Tianjiang Wang, Fang Liu, Hefei Ling
Research on multi-camera information fusion method for intelligent perception. Multim. Tools Appl. 77 (12) (2018)
Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo
Deep multi-instance learning for end-to-end person re-identification. Multim. Tools Appl. 77 (10) (2018)
Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu
A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing 297 (2018)
Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu
Bi-branch deconvolution-based convolutional neural network for image classification. Multim. Tools Appl. 77 (23) (2018)
Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan
Sparse representation combined with context information for visual tracking. Neurocomputing 225 (2017)
Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui
Remarkable local resampling based on particle filter for visual tracking. Multim. Tools Appl. 76 (1) (2017)
Xin-Yu Ou, Ping Li, Hefei Ling, Si Liu, Tianjiang Wang, Dan Li
Objectness Region Enhancement Networks for Scene Parsing. J. Comput. Sci. Technol. 32 (4) (2017)
Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui
Dual-scale structural local sparse appearance model for robust object tracking. Neurocomputing 237 (2017)
Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. 26 (12) (2016)
Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng
Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition. Multim. Tools Appl. 75 (17) (2016)
Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji
Combined salience based person re-identification. Multim. Tools Appl. 75 (18) (2016)
Yucheng Shu, Tianjiang Wang, Guangpu Shao, Chunlong Hu
Discriminative transform of receptive field patterns for feature representation. Multim. Tools Appl. 75 (13) (2016)
Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang
Subcategory-Aware Object Detection. IEEE Signal Process. Lett. 22 (9) (2015)
Meng Chen, Liyu Gong, Tianjiang Wang, Qi Feng
Action recognition using lie algebrized gaussians over dense local spatio-temporal features. Multim. Tools Appl. 74 (6) (2015)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim
Moving object tracking based on geogram. Multim. Tools Appl. 74 (21) (2015)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So
Visual tracking based on particle filter with spline resampling. Multim. Tools Appl. 74 (17) (2015)
Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Technol. 25 (10) (2015)
Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan
Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Technol. 25 (7) (2015)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha
Particle filter with spline resampling and global transition model. IET Comput. Vis. 9 (2) (2015)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong
An advanced association of particle filtering and kernel based object tracking. Multim. Tools Appl. 74 (18) (2015)
Gwang-Min Choe, Tianjiang Wang, Qi Feng, Chun-Hwa Choe, Sokmin Han, Hun Kim
Sophisticated Tracking Framework with Combined Detector. ICIG (3) (2015)
Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang
Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybern. 45 (3) (2015)
Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng
Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature. Multim. Tools Appl. 74 (11) (2015)
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. 44 (10) (2014)
Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak
Anadvanced integrated framework for moving object tracking. J. Zhejiang Univ. Sci. C 15 (10) (2014)
Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. 25 (4) (2014)
Khawlah Hussein Ali, Tianjiang Wang
Recognition of Human Action and Identification Based on SIFT and Watermark. ICIC (2) (2014)
Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng
Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. Neurocomputing 144 (2014)
Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN (2014)
Yan Yu, Tianjiang Wang, Yanli Liu
Edge orientation spatiogram for silhouette image retrieval. ICDIP (2014)
Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng
DTRF: A physiologically motivated method for image description. ICIP (2014)
Khawlah Hussein Ali, Tianjiang Wang
Learning features for action recognition and identity with deep belief networks. ICAILP (2014)
Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng
An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. Multim. Tools Appl. 73 (3) (2014)
Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA (2014)
Yong Yang, Ling Guo, Tianjiang Wang, Wenbing Tao, Guangpu Shao, Qi Feng
Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. Image Vis. Comput. 32 (2) (2014)
Bingpeng Ma, Xiujuan Chai, Tianjiang Wang
A novel feature descriptor based on biologically inspired feature for head pose estimation. Neurocomputing 115 (2013)
Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng
Effective head pose estimation using Lie Algebrized Gaussians. ICME (2013)
Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai
Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit. 46 (4) (2013)
Yi Ding, Tianjiang Wang, Xian Fu
Using Neural Networks and Self-Organizing Maps for Image Connecting. Cogn. Comput. 5 (1) (2013)
Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A. Jansen, Tianjiang Wang, Thomas S. Huang
Automated identification of animal species in camera trap images. EURASIP J. Image Video Process. 2013 (2013)
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B 42 (6) (2012)
Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang
Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN (2012)
Wenbing Tao, Feng Chang, Liman Liu, Hai Jin, Tianjiang Wang
Interactively multiphase image segmentation based on variational formulation and graph cuts. Pattern Recognit. 43 (10) (2010)
Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai, Tianjiang Wang
Fast image segmentation based on multilevel banded closed-form method. Pattern Recognit. Lett. 31 (3) (2010)
Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan
Learning Gradients with Gaussian Processes. PAKDD (2) (2010)
Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu
Recognizing affect from non-stylized body motion using shape of Gaussian descriptors. SAC (2010)
Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu
A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. ICIMCS (2009)
Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen
A Lie group based spatiogram similarity measure. ICME (2009)
Tianjiang Wang, Gang Chen, Perfecto Herrera
Music retrieval based on a multi-samples selection strategy for support vector machine active learning. SAC (2009)
Wenjun Liu, Tianjiang Wang, Fang Liu
Multi-Agent Group Programming Based On Co-evolution. Comput. J. 52 (8) (2009)
Xiangen Hu, Zhiqiang Cai, Lu Han, Scotty D. Craig, Tianjiang Wang, Arthur C. Graesser
AutoTutor Lite. AIED (2009)
Zhihua Xu, Hefei Ling, Fuhao Zou, Zhengding Lu, Ping Li, Tianjiang Wang
Fast and robust video copy detection scheme using full DCT coefficients. ICME (2009)
Liyu Gong, Tianjiang Wang, Fang Liu
Shape of Gaussians as feature descriptors. CVPR (2009)
Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu
Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. PRICAI (2008)
Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu
A density-based approach for text extraction in images. ICPR (2008)