Rui Gong   I am a fourth-year Ph.D. student at the Computer Vision Lab, ETH Zurich, supervised by Prof. Luc Van Gool. Before that, I obtained my master's degree from ETH Zurich, and closely worked with Prof. Wen Li, Dr. Dengxin Dai and Dr. Yuhua Chen. My research interests include computer vision and machine learning, and more specifically in topics such as domain adaptation, transfer learning, generative AI (image/label synthesis) and scene understanding.   gongr@vision.ee.ethz.ch                   Google Scholar                   Github

Education

• Dec. 2019 - Present: Ph.D. in Computer Vision, ETH Zurich

• Sep. 2017 - Nov. 2019: M.Sc. in Robotics, Systems and Control, ETH Zurich

• Sep. 2013 - Jun. 2017: B.Sc. in Automation, Beijing Institute of Technology

Internship

• May. 2023 - Sep. 2023: Research Scientist Intern, Meta Reality Labs Zurich

Selected Publications

• Prompting Diffusion Representations for Cross-Domain Semantic Segmentation
  Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, and Luc Van Gool
  arxiv, 2023
  [PDF]

• Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations
  Rui Gong, Qin Wang, Dengxin Dai, Martin Danelljan, and Luc Van Gool
  CVPR, 2023
  [PDF]

• SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory
  Han Sun, Rui Gong, Konrad Schindler, and Luc Van Gool
  CoLLAs, 2023
  [PDF]

• TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
  Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, and Luc Van Gool
  ECCV, 2022
  [PDF]

• Style Adaptive Semantic Image Editing with Transformers
  Edward Gunther*, Rui Gong*, and Luc Van Gool (* Equal Contributions)
  ECCV Workshop, 2022
  [PDF]

• mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
  Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, and Luc Van Gool
  ICCV, 2021
  [PDF]

• Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
  Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, and Luc Van Gool
  CVPR, 2021
  [PDF]

• DLOW: Domain Flow and Applications
  Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, and Luc Van Gool
  International Journal of Computer Vision (IJCV), 2021
  [PDF]

• Analogical Image Translation for Fog Generation
  Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, and Luc Van Gool
  AAAI, 2021
  [PDF]

• DLOW: Domain Flow for Adaptation and Generalization
  Rui Gong, Wen Li, Yuhua Chen, and Luc Van Gool
  CVPR (oral), 2019
  [PDF]

Professional Service

• Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, WACV, AAAI
• Journal Reviewer: IJCV, IEEE TCSVT, Neurocomputing

Projects Experience

• During my Ph.D. stage, I am highly enrolled in ENCORE project, which is funded by the EU Horizon 2020 research and innovation program under grant agreement No. 820434. In the ENCORE project, I am mainly responsible for the image processing and reconstruction service (IPRS), which aims at building the pipeline to reconstruct the Industry Foundation Classes (IFC) model given the images and LiDAR points.

© Rui Gong