Hello! This is the GitHub space for theVision Lab led byProfessorXinggang Wang. We are based at theArtificial Intelligence Institute, School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST).

Our research focuses oncomputer vision and deep learning. We are particularly interested in:

• Multimodal Foundation Models
• Visual Representation Learning
• Object Detection, Segmentation, and Tracking
• End-to-end Autonomous Driving
• Novel Neural Architectures

Our group strives to push the boundaries of visual intelligence and has produced highly influential works in the field, includingCCNet,Mask Scoring R-CNN,FairMOT,ByteTrack,EVA,MapTR,Vectorized Autonomous Driving (VAD),DiffusionDrive,Vision Mamba (Vim),4D Gaussian Splatting (4DGS),YOLOS,YOLO-World, andLightningDiT & VA-VAE.

We actively contribute to the research community through publications and open-source projects.

• Research Collaboration: We are open to collaborations in our areas of interest. Please feel free to reach out to Prof. Xinggang Wang (xgwang # hust.edu.cn).
• Prospective Students: Our group has a strong track record of mentoring Ph.D. and Master's students who lead impactful publications. Interested students can find more information on Prof. Wang's faculty page.
• Using Our Code: You are welcome to explore and use the code in our repositories. Please ensure you cite the corresponding publications appropriately. Specific details can usually be found in the README files of individual repositories.
• Contributing to Projects: For guidelines on contributing to specific projects (e.g., bug reports, pull requests), please check the individual repositories.

• Prof. Wang's HUST Faculty Webpage:http://faculty.hust.edu.cn/xwang - Find Prof. Wang's official profile and contact information.
• Personal Homepage (also this GitHub Pages site):https://xwcv.github.io - Contains information on research, publications, and more.
• Google Scholar Profile:https://scholar.google.com/citations?hl=en&user=qNCTLV0AAAAJ&view_op=list_works - View a comprehensive list of publications and citations.
• Repositories: Explore the repositories within this GitHub organization for code and datasets related to our research publications.

Repositories

Most used topics