Changshuo Wang (王昌硕)

In 2023, I obtained my doctoral degree from the University of Chinese Academy of Sciences (UCAS) and the Institute of Semiconductors, Chinese Academy of Sciences (CAS), advised by Prof. Weijun Li and Wanang Xiao . In 2018, I obtained my B.Eng. in the institute of automation, Qingdao University of science and technology (QUST). In September 2023, I have joined in Nanyang Technological University (NTU) to become a Research Fellow.

I am interested in computer vision and deep learning. My current research focuses on:

2D/3D scene understanding and generation based on multimodal data;

Human-centered visual understanding, such as person re-identification;

Brain-inspired visual cognition algorithm.

Email / CV / Google Scholar / Github

News

2024-03: PointGT is accepted by TMM.

2024-01: MV-3DSReID is accepted by TCSVT.

2023-11: EIE is accepted by Neural Networks.

2023-10: A survey about occluded person Re-ID is accepted by Expert Systems with Applications.

2023-10: PointReIDNet is accepted by TCSVT.

2023-06: CECC is accepted by Displays.

2023-05: A survey about point cloud classfication is accepted by Displays.

2022-04: The chinese journal version of DC-CNN is accepted by Journal of software.

2022-04: SC-CNN are accepted by TGRS.

2021-09: A survey on RGBD semantic segmentation is accepted by Displays.

Publications

* indicates equal contribution. # indication corresponding author.

	PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation Huang Zhang, Changshuo Wang, Long Yu, Shengwei Tian, Xin Ning Joel Rodrigues IEEE Transactions on Multimedia*, 2024 [paper]
	Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning Zaiyang Yu, Lusi Li, Jinlong Xie, Changshuo Wang, Weijun Li , Xin Ning IEEE Transactions on Circuits and Systems for Video Technology, 2024 [paper]
	Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning Neural Networks, 2023 [paper]
	Occluded person re-identification with deep learning: A survey and perspectives Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari Expert Systems with Applications, 2023 [paper]
	3D Person Re-identification Based on Global Semantic Guidance and Local Feature Aggregation Changshuo Wang, Xin Ning, Weijun Li , Xiao Bai , Xingyu Gao IEEE Transactions on Circuits and Systems for Video Technology, 2023 [paper]
	Pedestrian Re-ID based on Feature Consistency and Contrast Enhancement Enhao Ning, Canlong Zhang, Changshuo Wang, Xin Ning, Hao Chen, Xiao Bai Displays, 2023 [paper]
	Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook Huang Zhang, Changshuo Wang*, Jianchu Lin, Baoli Lu, Liping Zhang, Shengwei Tian, Displays*, 2023 [paper]
	3D Point Cloud Classification Method Based on Dynamic Coverage of Local Area Changshuo Wang, Han Wang, Xin Ning, Shengwei Tian, Weijun Li , Journal of Software , 2022 [paper] [Code]
	Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis (Highly Cited Paper) Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang , Weijun Li , Xiao Bai IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022 [paper] [Code]
	A brief survey on RGB-D semantic segmentation using deep learning Changshuo Wang, Chen Wang, Weijun Li , Haining Wang Displays, 2021 [paper]