Tianjiang Wang

According to our database, Tianjiang Wang authored at least 90 papers between 2008 and 2023.

Collaborative distances:

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

2023

SEGANet: 3D object detection with shape-enhancement and geometry-aware network.

Jing Zhou, Yiyu Hu, Zhongyuan Lai, Tianjiang Wang

Comput. Electr. Eng., September, 2023

Three-dimensional object detection network based on geometric information supplement strategy.

Jing Zhou, Yiyu Hu, Xinhan Huang, Tianjiang Wang

Comput. Electr. Eng., March, 2023

Dynamic multi-scale loss optimization for object detection.

Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng

Multim. Tools Appl., 2023

Frequency and Scale Perspectives of Feature Extraction.

Liangqi Zhang, Yihao Luo, Xiang Cao, Haibo Shen, Tianjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching.

Haibo Shen, Juyu Xiao, Yihao Luo, Xiang Cao, Liangqi Zhang, Tianjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments.

Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons.

Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking.

Yihao Luo, Haibo Shen, Xiang Cao, Tianjiang Wang, Qi Feng, Zehan Tan

Neural Comput. Appl., 2022

CE-FPN: enhancing channel information for object detection.

Yihao Luo, Xiang Cao, Juntao Zhang, Jingjuan Guo, Haibo Shen, Tianjiang Wang, Qi Feng

Multim. Tools Appl., 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

Improved Regularization of Event-based Learning by Reversing and Drifting.

Haibo Shen, Yihao Luo, Xiang Cao, Liangqi Zhang, Juyu Xiao, Tianjiang Wang

CoRR, 2022

Efficient CNN Architecture Design Guided by Visualization.

Liangqi Zhang, Haibo Shen, Yihao Luo, Xiang Cao, Leixilan Pan, Tianjiang Wang, Qi Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Multi-Scale Reinforcement Learning Strategy for Object Detection.

Yihao Luo, Xiang Cao, Juntao Zhang, Leixilan Pan, Tianjiang Wang, Qi Feng

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Multi-Scale Loss Balance for Object Detection.

Yihao Luo, Xiang Cao, Juntao Zhang, Peng Cheng, Tianjiang Wang, Qi Feng

Proceedings of the IEEE International Conference on Acoustics, 2022

Kernel Estimation Network for Blind Super-Resolution.

Xiang Cao, Haibo Shen, Liangqi Zhang, Yihao Luo, Tianjiang Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Minimum unbiased risk estimate based 2DPCA for color image denoising.

Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng

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

Neurocomputing, 2021

Blind image super-resolution based on prior correction network.

Xiang Cao, Yihao Luo, Yi Xiao, Xianyi Zhu, Tianjiang Wang, Qi Feng, Zehan Tan

Neurocomputing, 2021

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

FER based on the improved convex nonnegative matrix factorization feature.

Jing Zhou, 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, Zongmin Cui, Tianjiang Wang, Zhijian Zhao

Multim. Tools Appl., 2020

Object detector with enriched global context information.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Yihao Luo, Tianjiang Wang

Multim. Tools Appl., 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

A long time tracking with BIN-NST and DRN.

Xi Li, Tianjiang Wang

J. Ambient Intell. Humaniz. Comput., 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

CoRR, 2020

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

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

Densely convolutional and feature fused object detector.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Kui Duan

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

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

Facial Feature Recognition based on ASNMF Method.

Jing Zhou, Tianjiang Wang

KSII Trans. Internet Inf. Syst., 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

Retraction notice to 'A Modular Neural Network Architecture with Concept' [Neurocomputing 125, 11 February 2014, Pages 3-6].

Yi Ding, Qi Feng, Tianjiang Wang, Xian Fu

Neurocomputing, 2019

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

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Deep multi-instance learning for end-to-end person re-identification.

Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo

Multim. Tools Appl., 2018

Research on multi-camera information fusion method for intelligent perception.

Qi Feng, Tianjiang Wang, Fang Liu, Hefei Ling

Multim. Tools Appl., 2018

Bi-branch deconvolution-based convolutional neural network for image classification.

Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu

Multim. Tools Appl., 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, Zhijian Zhao, Zongmin Cui, Bin Wu

Neurocomputing, 2018

A deep features based generative model for visual tracking.

Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan

Neurocomputing, 2018

2017

Remarkable local resampling based on particle filter for visual tracking.

Zhiqiang Zhao, Tianjiang Wang, Fang Liu, Gwang-Min Choe, Caihong Yuan, Zongmin Cui

Multim. Tools Appl., 2017

Objectness Region Enhancement Networks for Scene Parsing.

Xin-Yu Ou, Ping Li, Hefei Ling, Si Liu, Tianjiang Wang, Dan Li

J. Comput. Sci. Technol., 2017

Dual-scale structural local sparse appearance model for robust object tracking.

Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui

Neurocomputing, 2017

Sparse representation combined with context information for visual tracking.

Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan

Neurocomputing, 2017

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

Discriminative transform of receptive field patterns for feature representation.

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Chunlong Hu

Multim. Tools Appl., 2016

Combined salience based person re-identification.

Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji

Multim. Tools Appl., 2016

Modeling spatio-temporal layout with Lie Algebrized Gaussians for action recognition.

Meng Chen, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng

Multim. Tools Appl., 2016

2015

Key Point Detection by Max Pooling for Tracking.

Xiaoyuan Yu, Jianchao Yang, Tianjiang Wang, Thomas S. Huang

IEEE Trans. Cybern., 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

Facial Analysis With a Lie Group Kernel.

Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2015

Subcategory-Aware Object Detection.

Xiaoyuan Yu, Jianchao Yang, Zhe L. Lin, Jiangping Wang, Tianjiang Wang, Thomas S. Huang

IEEE Signal Process. Lett., 2015

Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature.

Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng

Multim. Tools Appl., 2015

Moving object tracking based on geogram.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim

Multim. Tools Appl., 2015

Visual tracking based on particle filter with spline resampling.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So

Multim. Tools Appl., 2015

An advanced association of particle filtering and kernel based object tracking.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Manhung Jong

Multim. Tools Appl., 2015

Action recognition using lie algebrized gaussians over dense local spatio-temporal features.

Meng Chen, Liyu Gong, Tianjiang Wang, Qi Feng

Multim. Tools Appl., 2015

Particle filter with spline resampling and global transition model.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Suchol Hyon, Jong Won Ha

IET Comput. Vis., 2015

Sophisticated Tracking Framework with Combined Detector.

Gwang-Min Choe, Tianjiang Wang, Qi Feng, Chun-Hwa Choe, Sokmin Han, Hun Kim

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

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

IEEE Trans. Neural Networks Learn. Syst., 2014

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines.

Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi

IEEE Trans. Cybern., 2014

An effective head pose estimation approach using Lie Algebrized Gaussians based face representation.

Chunlong Hu, Liyu Gong, Tianjiang Wang, Fang Liu, Qi Feng

Multim. Tools Appl., 2014

Anadvanced integrated framework for moving object tracking.

Gwang-Min Choe, Tianjiang Wang, Fang Liu, Chun-Hwa Choe, Hyo-Son So, Chol-Ung Pak

J. Zhejiang Univ. Sci. C, 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

Image Vis. Comput., 2014

Robust Differential Circle Patterns based on fuzzy membership-pooling: A novel local image descriptor.

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng

Neurocomputing, 2014

Fuzzy c-means clustering with a new regularization term for image segmentation.

Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

DTRF: A physiologically motivated method for image description.

Yucheng Shu, Tianjiang Wang, Guangpu Shao, Fang Liu, Qi Feng

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Recognition of Human Action and Identification Based on SIFT and Watermark.

Khawlah Hussein Ali, Tianjiang Wang

Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Edge orientation spatiogram for silhouette image retrieval.

Yan Yu, Tianjiang Wang, Yanli Liu

Proceedings of the Sixth International Conference on Digital Image Processing, 2014

Learning features for action recognition and identity with deep belief networks.

Khawlah Hussein Ali, Tianjiang Wang

Proceedings of the International Conference on Audio, 2014

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model.

Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

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

A novel feature descriptor based on biologically inspired feature for head pose estimation.

Bingpeng Ma, Xiujuan Chai, Tianjiang Wang

Neurocomputing, 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

Using Neural Networks and Self-Organizing Maps for Image Connecting.

Yi Ding, Tianjiang Wang, Xian Fu

Cogn. Comput., 2013

Effective head pose estimation using Lie Algebrized Gaussians.

Chunlong Hu, Liyu Gong, Tianjiang Wang, Qi Feng

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

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

Thin Plate Spline Latent Variable Models for dimensionality reduction.

Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

Interactively multiphase image segmentation based on variational formulation and graph cuts.

Wenbing Tao, Feng Chang, Liman Liu, Hai Jin, Tianjiang Wang

Pattern Recognit., 2010

Recognizing affect from non-stylized body motion using shape of Gaussian descriptors.

Liyu Gong, Tianjiang Wang, Chengshuo Wang, Fang Liu, Fuqiang Zhang, Xiaoyuan Yu

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Learning Gradients with Gaussian Processes.

Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009

Multi-Agent Group Programming Based On Co-evolution.

Wenjun Liu, Tianjiang Wang, Fang Liu

Comput. J., 2009

Music retrieval based on a multi-samples selection strategy for support vector machine active learning.

Tianjiang Wang, Gang Chen, Perfecto Herrera

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Fast and robust video copy detection scheme using full DCT coefficients.

Zhihua Xu, Hefei Ling, Fuhao Zou, Zhengding Lu, Ping Li, Tianjiang Wang

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

A Lie group based spatiogram similarity measure.

Liyu Gong, Tianjiang Wang, Fang Liu, Gang Chen

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

A Lie group based Gaussian Mixture Model distance measure for multimedia comparison.

Liyu Gong, Tianjiang Wang, Yan Yu, Fang Liu, Xiangen Hu

Proceedings of the First International Conference on Internet Multimedia Computing and Service, 2009

Shape of Gaussians as feature descriptors.

Liyu Gong, Tianjiang Wang, Fang Liu

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

AutoTutor Lite.

Xiangen Hu, Zhiqiang Cai, Lu Han, Scotty D. Craig, Tianjiang Wang, Arthur C. Graesser

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

2008

Image Analysis of the Relationship between Changes of Cornea and Postmortem Interval.

Fang Liu, Shaohua Zhu, Yuxiao Fu, Fan Fan, Tianjiang Wang, Songfeng Lu

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

A density-based approach for text extraction in images.

Fang Liu, Xiang Peng, Tianjiang Wang, Songfeng Lu

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