Xiaopei Wu
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Anhui University (2024–2025); Wayne State University (2017–2019); Wuhan University of Technology (2024); Zhengzhou University (2015); Hubei University of Science and Technology (2025); Jiangxi Normal University (2021–2025); East China Normal University (2014–2016); Zhejiang University (2004–2024); Xuchang University (2018); Northeastern University (2016)
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Xiaopei Wu's research investigates advanced techniques in 3D object detection and computer vision, focusing on areas such as depth completion and semantic graph construction. Wu has published work on methods like Sparse Fuse Dense for high-quality 3D detection, and Graph R-CNN for accurate 3D object detection using semantic-decorated local graphs. Further contributions include DID-M3D, which decouples instance depth for monocular 3D object detection, and Learning Occupancy for Monocular 3D Object Detection. Additionally, Wu has explored stereoselective synthesis in carbohydrate chemistry, including the synthesis of 2,3-diamino-2,3-dideoxyglycosides and glycosylation with conformation-constrained 2-nitroglycals. Wu's scholarly output includes 32 publications, with an h-index of 15 and over 1,000 citations.
Metrics
- h-index: 15
- Publications: 32
- Citations: 1,131
Selected Publications
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An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition (2025)
Collaboration Network
Top Collaborators
- An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition
- An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition
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