Han Sun
Scholar

Han Sun

Google Scholar ID: 6AXMMusAAAAJ
Ph.D., EPFL
Domain Adaptation
Citations & Impact
All-time
Citations
113
 
H-index
3
 
i10-index
3
 
Publications
8
 
Co-authors
8
list available
Publications
8 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation (ICLR 2025); Unseen Visual Anomaly Generation (CVPR 2025); Prompting diffusion representations for cross-domain semantic segmentation (BMCV 2024); SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory (CoLLAs 2023, Oral); SimMMDG: A simple and effective framework for multi-modal domain generalization (NeurIPS 2023); HoloInspect: Mixed Reality for BIM Applications; Machine Learning-Based Lake Ice Monitoring; SeqLoc: Visual Localization with an Image Sequence.
Research Experience
  • No specific research experience or positions mentioned.
Education
  • 2022 - now: École Polytechnique Fédérale de Lausanne (EPFL), Ph.D. in Robotics, Control, and Intelligent Systems, supervised by Prof. Olga Fink; 2019 - 2022: Eidgenössische Technische Hochschule Zürich (ETHz), Master of Science in Geomatic Engineering, master's thesis supervised by Dr. Rui Gong, Prof. Konrad Schindler, and Prof. Luc Van Gool; 2015 - 2019: Wuhan University, Bachelor in Geodesy and Geomatics Engineering.
Background
  • Currently a Ph.D. student at EPFL, IMOS Lab, focusing on generative modeling and domain adaptation, especially in computer vision and time-series data. Has a deep love for classical music and plays the first violin in the EPFL OChE orchestra. Enjoys snowboarding and playing badminton.
Miscellany
  • Conference Reviewer: ICLR, CVPR, ICCV; Journal Reviewer: IEEE Transactions on Automation Science and Engineering, Machine Learning (Springer Nature), Mechanical Systems and Signal Processing, Engineering Applications of Artificial Intelligence