袁彩虹 - 河南大学 - 计算机与信息工程学院

个人简介

本科：1999-2003 河南大学计算机与信息工程学院计算机科学与技术专业硕士：2006-2009 河南大学计算机与信息工程学院应用数学专业博士：2014-2019 华中科技大学计算机应用技术专业奖励及荣誉 1、2009年《数据结构》精品课程建设理论探讨与研究校级教学改革成果二等奖 2、2011年河南大学教学质量竞赛一等奖

研究领域

模式识别深度学习

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. 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[J], Multimedia Tools & Applications, 2018, 77(10): 12437-12467. (SCI,3区). 2. Caihong Yuan, Jingjuan Guo, PingFenga Zhiqiang Zhao, Chunyan Xu, Tianjiang Wang, Gwangmin Choe, Kui Duan, A jointly learned deep embedding for person re-identification[J], Neurocomputing, 2019, 330: 127-137. (SCI,2区). 3. 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. Multimedia Tools Appl. 78(15): 21145-21166 (2019) (SCI,3区) 4. Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Bi-branch deconvolution-based convolutional neural network for image classification[J]. Multimedia Tools & Applications, 2018, 77(23): 30233-30250. (SCI,3区). 5. 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 [J]. Multimedia Tools & Applications, 2016, 75(18): 11447-11468. (SCI,3区). 6. 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[J], Neurocomputing, 2018, 297: 40-49. (SCI,3区) 7. 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[J], Neurocomputing, 2018, 308: 245-254. (SCI,2区). 8. Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan, Sparse Representation Combined with Context Information for Visual Tracking[J], Neurocomputing, 2017, 225: 92-102. (SCI,2区). 9. Zhiqiang Zhao, Tianjiang Wang, Fang Liu, G Chao, Caihong Yuan, Zongmin Cui, Remarkable local resampling based on particle filter for visual tracking[J], Multimedia Tools & Applications, 2017, 76(1): 835-860. (SCI,3区) 10. 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[J]. Neurocomputing, 2017, 237: 101-113. (SCI,3区) 11. Gwang-Min Choe, Chun-Hwa Choe, Tianjiang Wang, Hyo-Son So, Cholman Nam, Caihong Yuan:Deep learning with particle filter for person re-identification. Multimedia Tools Appl. 78(6): 6607-6636 (2019) (SCI,3区) 12. Chun-Hwa Choe, Gwang-Min Choe, Tianjiang Wang, Sokmin Han, Caihong Yuan: 13. Deep feature learning with mixed distance maximization for person Re-identification. Multimedia Tools Appl. 78(19): 27719-27741 (2019) (SCI,3区)