王振华

姓 名:王振华

职 称:副教授

办公室:信息工程学院416-1

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

电 话:1-8-1-9-2-7-1-3-5-9-1

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News:

招收2024级研究生

1篇ICCV2023论文(CCF A)录用

1篇TPAMI论文(CCF A)录用

简介

王振华,副教授,博士生/硕士生导师。2007年、2010年分别获西北农林科技大学学士(计算机科学与技术)、硕士(计算机应用技术)学位,2014年获阿德雷德大学(The University of Adelaide)博士学位(计算机视觉),2015年至2022年任浙江工业大学讲师,2022年加入西北农林科技大学信息工程学院,任副教授。研究方向为计算机视觉,主要聚焦图像和视频理解,陕西省图象图形学会理事,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多项科研项目,参与国家重点研发计划、国家自然科学基金面上等科研项目,在CVPR、ICCV、IEEE TPAMI、IJCV、IEEE TIP、IEEE TNNLS等会议和期刊上发表学术论文20余篇,曾获ACCV 2014最佳论文奖。应邀担任IEEE TNNLS、IEEE TII、IEEE TIE、IEEE TCSVT、IEEE IoT、PR、计算机学报》、CVPRAAAI、ACM MM、ACCV 等期刊和会议审稿人。

Github主页 (不常更新)

授课经历

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)


教材编写

  • 《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


项目主持

  • 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,2023.1-2026.12

  • 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,2019.1-2021.12

  • 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,2022.8-2025.8

  • 西北农林科技大学青年拔尖人才项目,面向监控视频的多目标行为感知与认知级理解,2022.9-2027.8

  • 浙江省自然科学基金面上项目,基于关系归纳偏置与动作特征联合学习的自然交互行为理解,2021.1-2023.12

  • 浙江省自然科学基金青年项目,基于深度学习和时空条件随机场的多人动作理解,2016.1-2018.12

  • 横向项目多项(主要聚焦于目标检测、识别、行为分析等实际问题)


代表论文(*表示通讯作者,^表示同等贡献)

  • 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, Accepted, code

  • 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), 2023, Accepted

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

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

  • 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

  • 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

  • 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

在读研究生

  • 博士生:

  • 硕士生:蒋杰克、应凯宁(国家奖学金)、岳耀鑫、刘璐璐、栗继萍、吕苗

已毕业学生

  • 博士:孟佳俊

  • 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


Name:Zhenhua Wang

Professional Title: Associate Professor

Office:416-1 College of Information Engineering

Tel:+86 18192713591

Email:zhenhuawang@nwafu.edu.cn

 

github page