Scholar
Yuqian Fu
Google Scholar ID: y3Bpp1IAAAAJ
Research Scientist, INSAIT, Sofia University | ETH Zurich | Fudan University
Citations & Impact
Citations
662
H-index
13
i10-index
15
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Including two papers accepted by NeurIPS 2025, Domain-RAG and CamSAM2, one paper accepted by TPAMI, MinD-3D++, four papers accepted by ICCV 2025, ObjectRelator, 3D-MOOD, XTrack, and Museum, two papers accepted by IROS 2025, RAG-6DPose and SeqMultiGrasp, and other papers in conferences like AAAI, ECCV, etc.; Awards: 2nd place in the Correspondences track of the 2025 EgoVis Ego-Exo4D Challenge; Hosted Events: Successfully hosted the 1st CD-FSOD Challenge @ NTIRE CVPR Workshop 2025
Research Experience
- Current Research Scientist at INSAIT, working with Prof. Luc Van Gool and Dr. Danda Paudel; Former Postdoc Researcher at Computer Vision Lab (CVL), ETH Zürich, mentored by Prof. Luc Van Gool
Education
- Ph.D. from School of Computer Science, Fudan University, June 2023, advised by Prof. Yu-Gang Jiang and co-advised by Prof. Yanwei Fu, closely worked with Associate Professor Jingjing Chen; B.S. in Computer Science from Zhejiang University of Technology, June 2018, supervised by Associate Professor Cong Bai
Background
- Research Interests: Computer vision and deep learning. Mainly aims to build more generalizable vision models by addressing challenges that arise when applying them to downstream tasks, such as few-shot learning, cross-domain learning, open-vocabulary learning, and multimodal fusion. Recently, interests have expanded toward cross-view learning, particularly in bridging exo-centric and ego-centric vision.
Miscellany
- Personal Interests: Advancing intelligent assistants for egocentric vision understanding
