办公室：信息工程学院416-1

邮　箱：zhenhuawang{At}nwafu{Dot}edu{Dot}cn

简介

王振华，博士生导师，副教授。2014年获阿德雷德大学（The University of Adelaide）博士学位，主要研究计算机视觉，聚焦图像和视频理解方向，陕西省图像图形学会理事，IEEE会员，CCF会员，CAAI会员。主持国家自然科学基金面上、国家自然科学基金青年、浙江省自然科学基金等科研项目，参与国家重点研发计划项目，在CVPR、ICCV、IEEE TPAMI、IJCV、IEEE TIP等会议和期刊上发表学术论文30余篇，获ACCV 2014最佳论文奖。

Github

Google Scholar

部分论文（*通讯，^一作）

19. Shilei Wang^, Zhenhua Wang^, Qianqian Sun, Gong Cheng, Jifeng Ning*, Modelling of Multiple Spatial-Temporal Relations for Robust Visual Object Tracking, IEEE TIP (CCF A), 2024, accepted.

18. Yanyan Shao, Dongyan Guo, Ying Cui, Zhenhua Wang, Liyan Zhang, Jianhua Zhang, Graph Attention Network for Context-aware Visual Tracking, IEEE TNNLS (CCF B), 2024, accepted.

17. Ying Cui, Qiang Cheng, Dongyan Guo*, Xiangjie Kong, Zhenhua Wang, Jianhua Zhang, Object Discriminability Re-extraction for Distractor-aware Visual Object Tracking, CVIU, 2024, accepted.

16. Baozhen Sun^, Zhenhua Wang^, Shilei Wang, Yongkang Cheng, Jifeng Ning*, Bidirectional Interaction of CNN and Transformer Feature for Visual Tracking, IEEE TCSVT, 2024, accepted.

15. Kaining Ying^, Qing Zhong^, Weian Mao, Zhenhua Wang*, Hao Chen*, Lin Yuanbo Wu, Yifan Liu, Yunzhi Zhuge, Chunhua Shen, CTVIS: Consistent Training for Online Video Instance Segmentation, ICCV (CCF A), 2023, code

14. Jiajun Meng, Zhenhua Wang*, Kaining Ying, Jianhua Zhang, Dongyan Guo, Zhen Zhang, Javen Qinfeng Shi, Shengyong Chen, Human Interaction Understanding with Consistency-Aware Learning, IEEE TPAMI (CCF A，G1), 2023, 45(10): 11898-11914, code

13. Zhenhua Wang, Jiajun Meng, Dongyan Guo, Jianhua Zhang*, Javen Qinfeng Shi, Shengyong Chen, Consistency-Aware Graph Network for Human Interaction Understanding, International Conference on Computer Vision, ICCV (CCF A) Oral, 2021, code

12. Zhenhua Wang, Jinchao Ge, Dongyan Guo, Jianhua Zhang, Yanjing Lei, Shengyong Chen*, Human Interaction Understanding with Joint Graph Decomposition and Node Labeling, IEEE TIP (CCF A), 2021(30): 6240-6254

11. Zhenhua Wang, Tong Liu, Qinfeng Shi, M. Pawan Kumar, Jianhua Zhang, New Convex Relaxations for MRF Inference with Unknown Graphs, ICCV (CCF A), Seoul, 2019

10. Zhenhua Wang, Qinfeng Shi, Chunhua Shen, Anton van den Hengel, Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs, CVPR (CCF A), Portland, 2013

9. Zhenhua Wang, Sheng Liu, Jianhua Zhang, Shengyong Chen*, Qiu Guan, A Spatio-temporal CRF for Human Interaction Understanding, IEEE TCSVT, 2017, 27(8): 1647-1660

8. Dongyan Guo, Jun Wang, Ying Cui*, Zhenhua Wang, Shengyong Chen, SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking, CVPR Oral (CCF A)，Seattle, 2020, code

7. Qinfeng Shi, Mark Reid,Tiberio Caetano, Anton van den Hengel, Zhenhua Wang, A Hybrzid Loss for Multiclass and Structured Prediction, IEEE TPAMI (CCF A), 2015, 37(1):2-12

6. Dongyan Guo, Yanyan Shao, Ying Cui*, Zhenhua Wang, Liyan Zhang, Chunhua Shen, Graph Attention Tracking, CVPR (CCF A), Oral, 2021, code

5. Ying Cui, Dongyan Guo*, Yanyan Shao, Zhenhua Wang, Chunhua Shen, Liyan Zhang, Shengyong Chen, Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks, IJCV (CCF A), 2022

4. Kaining Ying, Zhenhua Wang*, Cong Bai, Pengfei Zhou, ISDA: Position-aware Instance Segmentation with Deformable Attention, ICASSP (CCF B), 2022, code

3. Pengfei Zhou^, Kaining Ying^, Zhenhua Wang, Dongyan Guo, Cong Bai*, Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution, TNNLS (CCF B), 2022

2.Zhenhua Wang, Zhiyi Zhang*, Nan Geng, A Message Passing Algorithm for MRF Inference with Unknown Graphs and Its Applications, ACCV (CCF C), the Best Paper Award, 2014

1.Zhenhua Wang, Jiali Jin, Tong Liu, Sheng Liu, Jianhua Zhang, Shengyong Chen, Zhen Zhang, Dongyan Guo, Zhanpeng Shao, Understanding Human Activities in Videos: A Joint Action and Interaction Learning Approach, Neurocomputing (CCF C), 321 (2018): 216-226

项目

1. 国家自然科学基金面上项目，基于表征与演绎偏置联合学习的视频人群交互行为理解

2. 国家自然科学基金青年项目，群体行为识别中的鲁棒深度特征表达与结构化学习方法研究

3. 秦创原引用高层次创新创业人才项目，面向养殖监控场景的视觉识别技术研究与平台搭建

授课

本科生课程：C语言程序设计，人工智能导论（国家一流本科课程），Introduction to Artificial Intelligence（留学生）；研究生课程：计算机视觉（机器学习部分）

教材

1. 《数字图像处理与分析》（科学出版社十四五规划教材），2023年11月，ISBN：978-7-0307-6954-1，编写第10章：机器学习基础（~15000字）

在读学生

岳耀鑫，刘璐璐，栗继萍，吕苗，何梦凡，何劲扬，柳源，易嘉诚

已毕业学生

博士：孟佳俊（浙江科技大学，教学科研）

硕士：金佳丽（阿里巴巴），丁福光（中国移动），葛金超（CSC公派阿德雷德大学博士），刘通（创业），周瑾（腾讯），周志雄（清微智能），蒋杰克，应凯宁（国家奖学金，复旦大学读博）