Scholar
Ye Fang
Google Scholar ID: ujHiil8AAAAJ
Fudan University
computer vision
multimodality learning
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
254
H-index
5
i10-index
5
Publications
7
Co-authors
0
Contact
Email
yefang23@m.fudan.edu.cn
GitHub
Open ↗
Publications
4 items
V-RGBX: Video Editing with Accurate Controls over Intrinsic Properties
2025
Cited
0
RelightVid: Temporal-Consistent Diffusion Model for Video Relighting
2025
Cited
0
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
2025
Cited
0
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
Computer Vision and Pattern Recognition · 2023
Cited
36
Resume (English only)
Academic Achievements
- [NeurIPS 2024] Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials
- [CVPR 2024] Participant in the AlphaCLIP project
Research Experience
- Research Intern @ Shanghai AI Lab, focusing on Computer Vision
Education
- PhD Candidate: Fudan University, specializing in AI
- Bachelor: Harbin Institute of Technology, majoring in Computer Science
Background
- Research Interests: Multi-modal Learning, 3D Vision
- Field of Study: Artificial Intelligence
- Brief Introduction: Currently a PhD candidate in Computer Science at Fudan University.
Miscellany
- Loves music and traveling
- Always happy to explore new things
Co-authors
0 total
Co-authors: 0 (list not available)
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up