Caihong Yuan

According to our database, Caihong Yuan authored at least 19 papers between 2016 and 2023.

Collaborative distances:

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

2023

Information disentanglement based cross-modal representation learning for visible-infrared person re-identification.

Xiaoke Zhu, Minghao Zheng, Xiaopan Chen, Xinyu Zhang, Caihong Yuan, Fan Zhang

Multim. Tools Appl., October, 2023

2022

Deep discriminant generation-shared feature learning for image-based kinship verification.

Xiaopan Chen, Changlong Li, Xiaoke Zhu, Liang Zheng, Ya Chen, Shanshan Zheng, Caihong Yuan

Signal Process. Image Commun., 2022

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

Object detector with enriched global context information.

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

Multim. Tools Appl., 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

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

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

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

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

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

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