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Zhusuguo

Post: Associate professor

Email: zsg2016@hdu.edu.cn

Research Fields: Compuer vision

Resume

Zhu Suguo, female, studied at the Beijing Key Laboratory of Intelligent Communication Software and Multimedia at the School of Computer Science, Beijing University of Posts and Telecommunications from 2012 to 2016. She obtained a doctoral degree in Computer Science and Technology in July 2016. Afterwards, he worked at the School of Computer Science and Technology of Hangzhou University of Electronic Science and Technology, and became a core member of the Media Intelligence Laboratory (MIL) and the Key Laboratory of Complex System Modeling and Simulation at the Institute of Graphics and Images, as well as the Ministry of Education. Mainly engaged in research on action detection and recognition, object detection, and object tracking in computer vision, with a strong interest in deep learning, machine learning methods, and related practical applications. Hosted multiple National Natural Science Foundation projects, participated in multiple National Natural Science Foundation projects and Ministry of Science and Technology projects, and published over 10 high-level papers in the field.

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Thesis

[1] Suguo Zhu*; Xiaowei Gong; Zhengzhong Kuang; Junping Du; Partial Person Re-identification with Two-stream Network and Reconstruction, Neurocomputing, 2020, 398: 453-459.

[2] Suguo Zhu; Xiaoxian Yang*; Jun Yu; Zhenying Fang; Meng Wang; Qingming Huang; Proposal Complementary Action Detection. ACM Transactions on Multimedia Computing Communications and Applications, 2020,16(2s): 1-12.

[3] Suguo Zhu; Zhenying Fang; Yi Wang*; Jun Yu; Junping Du; Multimodal Activity Recognition with Local Block CNN and Attention-Based Spatial Weighted CNN, Journal of Visual Communication and Image Representation, 2019, 60: 38-43.

[4] Suguo Zhu*; Zhenying Fang; Fei Gao; Hierarchical Convolutional Features for End-to-end Representation-based Visual Tracking, Machine Vision and Applications, 2018, 29 (6): 955-963.

[5] Zhenying Fang; Suguo Zhu*; Jun Yu; Qi Tian; PCPCAD: Proposal Complementary Action Detector, IEEE International Conference on Multimedia&Expo, Shanghai, China, 2019-07-072019-07-10.


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