Tianjiang Wang

98 papers A* 2A 5B 5Misc 10Journal 68Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Rescaled three-mode principal component analysis: An approach to subspace recovery. Neural Networks Mingli Wang, Junbin Gao, Xinwei Jiang, Chunlong Hu, Feng Qin, Tianjiang Wang
2025	J	`jnl`	UIEVUS: An underwater image enhancement method for various underwater scenes. Signal Process. Image Commun. Siyi Ren, Xianqiang Bao, Tianjiang Wang, Xinghua Xu, Tao Ma, Kun Yu
2024	A*	`conf`	A Fourier Perspective of Feature Extraction and Adversarial Robustness. IJCAI Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang
2023	J	`jnl`	Dynamic multi-scale loss optimization for object detection. Multim. Tools Appl. Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
2023	Misc	`conf`	Frequency and Scale Perspectives of Feature Extraction. ICASSP Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
2023	J	`jnl`	Frequency and Scale Perspectives of Feature Extraction. CoRR Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang
2023	J	`jnl`	SEGANet: 3D object detection with shape-enhancement and geometry-aware network. Comput. Electr. Eng. Jing Zhou, Yiyu Hu, Zhongyuan Lai, Tianjiang Wang
2023	J	`jnl`	Three-dimensional object detection network based on geometric information supplement strategy. Comput. Electr. Eng. Jing Zhou, Yiyu Hu, Xinhan Huang, Tianjiang Wang
2023	Misc	`conf`	Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments. ICASSP Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
2023	J	`jnl`	Training Robust Spiking Neural Networks with ViewPoint Transform and SpatioTemporal Stretching. CoRR Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
2023	Misc	`conf`	Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching. ICASSP Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
2023	Misc	`conf`	Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons. ICASSP Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
2022	J	`jnl`	CE-FPN: enhancing channel information for object detection. Multim. Tools Appl. Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
2022	J	`jnl`	Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking. Neural Comput. Appl. Yihao Luo, Haibo Shen, Xiang Cao, Tianjiang Wang, Qi Feng, Zehan Tan
2022	Misc	`conf`	Dynamic Multi-Scale Loss Balance for Object Detection. ICASSP Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
2022	A	`conf`	Efficient CNN Architecture Design Guided by Visualization. ICME Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
2022	J	`jnl`	Efficient CNN Architecture Design Guided by Visualization. CoRR Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng
2022	J	`jnl`	Improved Regularization of Event-based Learning by Reversing and Drifting. CoRR Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang
2022	Misc	`conf`	Kernel Estimation Network for Blind Super-Resolution. ICASSP Xiang Cao, Haibo Shen, Liangqi Zhang, Yihao Luo, Tianjiang Wang
2022	J	`jnl`	Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks. CoRR Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang
2022	Misc	`conf`	Multi-Scale Reinforcement Learning Strategy for Object Detection. ICASSP Yihao Luo, Xiang Cao, Juntao Zhang, Leixilan Pan, Tianjiang Wang, Qi Feng
2021	J	`jnl`	Blind image super-resolution based on prior correction network. Neurocomputing Xiang Cao, Yihao Luo, Yi Xiao, Xianyi Zhu, Tianjiang Wang, Qi Feng, Zehan Tan
2021	J	`jnl`	CE-FPN: Enhancing Channel Information for Object Detection. CoRR Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng
2021	J	`jnl`	DAEANet: Dual auto-encoder attention network for depth map super-resolution. Neurocomputing Xiang Cao, Yihao Luo, Xianyi Zhu, Liangqi Zhang, Yan Xu, Haibo Shen, Tianjiang Wang, Qi Feng
2021	J	`jnl`	Dynamic Multi-Scale Loss Optimization for Object Detection. CoRR Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng
2021	J	`jnl`	Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng
2021	—	`conf`	SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking. ICANN (5) Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Liangqi Zhang, Yan Xu, Tianjiang Wang, Qi Feng
2020	J	`jnl`	A long time tracking with BIN-NST and DRN. J. Ambient Intell. Humaniz. Comput. Xi Li, Tianjiang Wang
2020	J	`jnl`	FER based on the improved convex nonnegative matrix factorization feature. Multim. Tools Appl. Jing Zhou, Tianjiang Wang
2020	J	`jnl`	MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images. Medical Biol. Eng. Comput. Meriem Sebai, Xinggang Wang, Tianjiang Wang
2020	J	`jnl`	Object detector with enriched global context information. Multim. Tools Appl. Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang
2020	J	`jnl`	PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images. IEEE Access Meriem Sebai, Tianjiang Wang, Saad Ali Al-Fadhli
2020	J	`jnl`	Robust object tracking based on ridge regression and multi-scale local sparse coding. Multim. Tools Appl. Zhiqiang Zhao, Liwen Xiong, Zhuolin Mei, Bin Wu, Zongmin Cui, Tianjiang Wang, Zhijian Zhao
2020	J	`jnl`	SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking. CoRR Yihao Luo, Min Xu, Caihong Yuan, Xiang Cao, Yan Xu, Tianjiang Wang, Qi Feng
2019	—	`conf`	A Spiking Neural Network Architecture for Object Tracking. ICIG (1) Yihao Luo, Quanzheng Yi, Tianjiang Wang, Ling Lin, Yan Xu, Jing Zhou, Caihong Yuan, Jingjuan Guo, Ping Feng, Qi Feng
2019	J	`jnl`	A jointly learned deep embedding for person re-identification. Neurocomputing Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Chunyan Xu, Tianjiang Wang, Gwang-Min Choe, Kui Duan
2019	J	`jnl`	Deep feature learning with mixed distance maximization for person Re-identification. Multim. Tools Appl. Chun-Hwa Choe, Gwang-Min Choe, Tianjiang Wang, Sokmin Han, Caihong Yuan
2019	J	`jnl`	Deep learning with particle filter for person re-identification. Multim. Tools Appl. Gwang-Min Choe, Chun-Hwa Choe, Tianjiang Wang, Hyo-Son So, Cholman Nam, Caihong Yuan
2019	J	`jnl`	Densely convolutional and feature fused object detector. Multim. Tools Appl. Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan
2019	J	`jnl`	Facial Feature Recognition based on ASNMF Method. KSII Trans. Internet Inf. Syst. Jing Zhou, Tianjiang Wang
2019	J	`jnl`	Learning deep embedding with mini-cluster loss for person re-identification. Multim. Tools Appl. Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan
2019	J	`jnl`	Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6]. Neurocomputing Yi Ding, Qi Feng, Tianjiang Wang, Xian Fu
2018	J	`jnl`	A deep features based generative model for visual tracking. Neurocomputing Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan
2018	J	`jnl`	A hybrid tracking framework based on kernel correlation filtering and particle filtering. Neurocomputing Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu
2018	J	`jnl`	Bi-branch deconvolution-based convolutional neural network for image classification. Multim. Tools Appl. Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu
2018	J	`jnl`	Deep multi-instance learning for end-to-end person re-identification. Multim. Tools Appl. Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo
2018	J	`jnl`	Research on multi-camera information fusion method for intelligent perception. Multim. Tools Appl. Qi Feng, Tianjiang Wang, Fang Liu, Hefei Ling
2017	J	`jnl`	Dual-scale structural local sparse appearance model for robust object tracking. Neurocomputing Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui
2017	J	`jnl`	Objectness Region Enhancement Networks for Scene Parsing. J. Comput. Sci. Technol. Xin-Yu Ou, Ping Li, Hefei Ling, Si Liu, Tianjiang Wang, Dan Li
2017	J	`jnl`	Remarkable local resampling based on particle filter for visual tracking. Multim. Tools Appl. Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui
2017	J	`jnl`	Sparse representation combined with context information for visual tracking. Neurocomputing Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan
2016	J	`jnl`	Combined salience based person re-identification. Multim. Tools Appl. Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji
2016	J	`jnl`	Discriminative transform of receptive field patterns for feature representation. Multim. Tools Appl. Yucheng Shu, Tianjiang Wang, Guangpu Shao, Chunlong Hu
2016	J	`jnl`	Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition. Multim. Tools Appl. Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng
2016	J	`jnl`	Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
2015	J	`jnl`	Action recognition using lie algebrized gaussians over dense local spatio-temporal features. Multim. Tools Appl. Meng Chen, Liyu Gong, Tianjiang Wang, Qi Feng
2015	J	`jnl`	An advanced association of particle filtering and kernel based object tracking. Multim. Tools Appl. Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong
2015	J	`jnl`	Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan
2015	J	`jnl`	Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature. Multim. Tools Appl. Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng
2015	J	`jnl`	Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Technol. Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan
2015	J	`jnl`	Key Point Detection by Max Pooling for Tracking. IEEE Trans. Cybern. Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang
2015	J	`jnl`	Moving object tracking based on geogram. Multim. Tools Appl. Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim
2015	J	`jnl`	Particle filter with spline resampling and global transition model. IET Comput. Vis. Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha
2015	—	`conf`	Sophisticated Tracking Framework with Combined Detector. ICIG (3) Gwang-Min Choe, Tianjiang Wang, Qi Feng, Chun-Hwa Choe, Sokmin Han, Hun Kim
2015	J	`jnl`	Subcategory-Aware Object Detection. IEEE Signal Process. Lett. Xiaoyuan Yu, Jianchao Yang, Zhe Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang
2015	J	`jnl`	Visual tracking based on particle filter with spline resampling. Multim. Tools Appl. Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So
2014	J	`jnl`	An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu
2014	J	`jnl`	An effective head pose estimation approach using Lie Algebrized Gaussians based face representation. Multim. Tools Appl. Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng
2014	J	`jnl`	Anadvanced integrated framework for moving object tracking. J. Zhejiang Univ. Sci. C Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak
2014	B	`conf`	DTRF: A physiologically motivated method for image description. ICIP Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng
2014	—	`conf`	Edge orientation spatiogram for silhouette image retrieval. ICDIP Yan Yu, Tianjiang Wang, Yanli Liu
2014	B	`conf`	Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
2014	Misc	`conf`	Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang
2014	—	`conf`	Learning features for action recognition and identity with deep belief networks. ICAILP Khawlah Hussein Ali, Tianjiang Wang
2014	—	`conf`	Recognition of Human Action and Identification Based on SIFT and Watermark. ICIC (2) Khawlah Hussein Ali, Tianjiang Wang
2014	J	`jnl`	Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor. Neurocomputing Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng
2014	J	`jnl`	TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi
2014	J	`jnl`	Unsupervised multiphase color-texture image segmentation based on variational formulation and multilayer graph. Image Vis. Comput. Yong Yang, Ling Guo, Tianjiang Wang, Wenbing Tao, Guangpu Shao, Qi Feng
2013	J	`jnl`	A novel feature descriptor based on biologically inspired feature for head pose estimation. Neurocomputing Bingpeng Ma, Xiujuan Chai, Tianjiang Wang
2013	J	`jnl`	Automated identification of animal species in camera trap images. EURASIP J. Image Video Process. Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A. Jansen, Tianjiang Wang, Thomas S. Huang
2013	A	`conf`	Effective head pose estimation using Lie Algebrized Gaussians. ICME Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng
2013	J	`jnl`	Multilayer graph cuts based unsupervised color-texture image segmentation using multivariate mixed student's t-distribution and regional credibility merging. Pattern Recognit. Yong Yang, Shoudong Han, Tianjiang Wang, Wenbing Tao, Xue-Cheng Tai
2013	J	`jnl`	Using Neural Networks and Self-Organizing Maps for Image Connecting. Cogn. Comput. Yi Ding, Tianjiang Wang, Xian Fu
2012	J	`jnl`	Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng
2012	B	`conf`	Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang
2010	J	`jnl`	Fast image segmentation based on multilevel banded closed-form method. Pattern Recognit. Lett. Shoudong Han, Wenbing Tao, Xianglin Wu, Xue-Cheng Tai, Tianjiang Wang
2010	J	`jnl`	Interactively multiphase image segmentation based on variational formulation and graph cuts. Pattern Recognit. Wenbing Tao, Feng Chang, Liman Liu, Hai Jin, Tianjiang Wang
2010	—	`conf`	Learning Gradients with Gaussian Processes. PAKDD (2) Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan
2010	Misc	`conf`	Recognizing affect from non-stylized body motion using shape of Gaussian descriptors. SAC Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu
2009	—	`conf`	A Lie group based Gaussian Mixture Model distance measure for multimedia comparison. ICIMCS Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu
2009	A	`conf`	A Lie group based spatiogram similarity measure. ICME Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen
2009	A	`conf`	AutoTutor Lite. AIED Xiangen Hu, Zhiqiang Cai, Lu Han, Scotty D. Craig, Tianjiang Wang, Arthur C. Graesser
2009	A	`conf`	Fast and robust video copy detection scheme using full DCT coefficients. ICME Zhihua Xu, Hefei Ling, Fuhao Zou, Zhengding Lu, Ping Li, Tianjiang Wang
2009	J	`jnl`	Multi-Agent Group Programming Based On Co-evolution. Comput. J. Wenjun Liu, Tianjiang Wang, Fang Liu
2009	Misc	`conf`	Music retrieval based on a multi-samples selection strategy for support vector machine active learning. SAC Tianjiang Wang, Gang Chen, Perfecto Herrera
2009	A*	`conf`	Shape of Gaussians as feature descriptors. CVPR Liyu Gong, Tianjiang Wang, Fang Liu
2008	B	`conf`	A density-based approach for text extraction in images. ICPR Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu
2008	B	`conf`	Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval. PRICAI Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu