CV

Education

• B.S. in Computer Science & Technology, Northwest A&F University, 2007
• M.S. in Computer Application Technology, Northwest A&F University, 2010
• Ph.D in Computer Vision, The University of Adelaide, 2014

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs

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

A Hybrid Loss for Multiclass and Structured Prediction

Qinfeng Shi, Mark Reid, Tiberio Caetano, Anton van den Hengel, Zhenhua Wang. A Hybrid Loss for Multiclass and Structured Prediction, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(1): 2-12.

A Spatio-temporal CRF for Human Interaction Understanding

Zhenhua Wang, Sheng Liu, Jianhua Zhang, Shengyong Chen, Qiu Guan. A Spatio-temporal CRF for Human Interaction Understanding, 2017, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017, 27(8): 1647-1660.

New Convex Relaxations for MRF Inference with Unknown Graphs

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

SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds

Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi HUNG, Zhenhua Wang. SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds, 2020, CVPR.

SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking

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

Graph Attention Tracking

Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen. Graph Attention Tracking, 2021, CVPR.

Detection and Segmentation of Unlearned Objects in Unknown Environment

Jianhua Zhang, Jingbo Chen, Shengyong Chen, Zhenhua Wang, Jianwei Zhang. Detection and Segmentation of Unlearned Objects in Unknown Environment, 2021, IEEE Transactions on Industrial Informatics, 2021, 17(9): 6211-6220.

Human Interaction Understanding With Joint Graph Decomposition and Node Labeling

Zhenhua Wang, Jinchao Ge, Dongyan Guo, Jianhua Zhang, Yanjing Lei, Shengyong Chen. Human Interaction Understanding With Joint Graph Decomposition and Node Labeling, 2021, IEEE Transactions on Image Processing (TIP), 2021(30): 6240-6254.

Consistency-Aware Graph Network for Human Interaction Understanding

Zhenhua Wang, Jiajun Meng, Dongyan Guo, Jianhua Zhang, Javen Qinfeng Shi, Shengyong Chen. Consistency-Aware Graph Network for Human Interaction Understanding, 2021, ICCV (Oral).

SSA-Net: Spatial Self-Attention Network for COVID-19 Pneumonia Infection Segmentation with Semi-Supervised Few-Shot Learning

Xiaoyan Wang, Yiwen Yuan, Dongyan Guo, Xiaojie Huang, Ying Cui, Ming Xia, Zhenhua Wang, Cong Bai, Shengyong Chen. SSA-Net: Spatial Self-Attention Network for COVID-19 Pneumonia Infection Segmentation with Semi-Supervised Few-Shot Learning, 2022, Medical Image Analysis (MedIA), 2022, preprint.

Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution

Pengfei Zhou, Kaining Ying, Zhenhua Wang, Dongyan Guo, Cong Bai. Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution, 2022, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, preprint.

ISDA: Position-aware Instance Segmentation with Deformable Attention

Kaining Ying, Zhenhua Wang, Cong Bai, Pengfei Zhou. ISDA: Position-aware Instance Segmentation with Deformable Attention, 2022, ICASSP.

Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks

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, 2022, International Journal of Computer Vision (IJCV), 130: 550-566.

Talks

Teaching

Service and leadership

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