Xiaohan Zhang
Xiaohan Zhang

Ph.D. Student

xiaohan.zhang@uvm.edu

About Me

🎯 I am a fourth-year Ph.D. student at the University of Vermont advised by Dr. Safwan Wshah. Before joining the University of Vermont, I received my M.Sc. degree at the University of California, Santa Cruz in 2020, and I obtained my B.Sc. degree at Michigan State University in 2017.

📚 My current research interest lies at the border of computer vision and remote sensing (e.g. visual geo-localization and segmentation/detection in aerial images). I am also interested in image synthesis and 3D reconstruction. Please reach out to collaborate! 😃

Download CV
Interests
  • Computer Vision
  • Deep Learning
  • Visual Geo-Localization
  • Generative AI
  • 3D Reconstruction
  • Information Retrieval
Education
  • Ph.D. in Computer Science

    University of Vermont

  • M.Sc. in Computer Engineering

    University of California, Santa Cruz

  • B.Sc. in Computer Engineering

    Michigan State University

📰 News
  • [2024.11] I will serve as a reviewer in CVPR 2025.

  • [2024.11] I will co-organize Cross-view Geo-localization: Current Challenges and Future Frontiers with GenAI tutorial in WACV 2025. Refer to our tutorial website for more details. See you in Tucson!

  • [2024.10] My co-authored paper GPG2A has been accepted to WACV 2025. Please check the project webpage for more details.

  • [2024.9] My paper GeoDTR+ has been accepted by IEEE TPAMI. The code and weights have been open-sourced on the GitHub page.

  • [2024.8] I will serve as a reviewer in AAAI 2025.

🌟 Featured Publications
🚀 Recent Publications
(2024). Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
(2024). Image and Object Geo-Localization. International Journal of Computer Vision.
(2024). Fine-Grained Permeable Surface Mapping through Parallel U-Net. Sensors.
(2023). Visual and Object Geo-localization: A Comprehensive Survey. arXiv.
(2023). GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement. IEEE Transactions on Pattern Analysis and Machine Intelligence.