Feng Li
Scholar

Feng Li

Google Scholar ID: mYfWM6oAAAAJ
Hefei University of Technology
Video and Image ProcessingLow-level Computer-vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
814
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Contact
Emailfengli@hfut.edu.cnGitHubOpen ↗
Publications
2 items
Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection
2026
Cited
0
OSDEnhancer: Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusion
2026
Cited
0
Resume (English only)
Academic Achievements
  • Publications:
  • - IEEE TIP, 2025: Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal
  • - IEEE TIP, 2025: Reference-based Iterative Interaction with P^2-Matching for Stereo Image Super-Resolution
  • - CVPR, 2025: EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events
  • - ICLR, 2025: Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption
  • - IJCV, 2025: SRConvNet: A Transformer-Style ConvNet for Lightweight Image Super-Resolution
  • - AAAI, 2025: Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
  • - AAAI, 2025: Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
  • - AAAI, 2025: Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
  • - TPAMI, 2024: PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
  • - Other papers: TII, TOMM, TMM, TCSVT, CVPR 2023 (selected as a highlight paper)
  • Awards:
  • - 2nd place on NTIRE 2024 Stereo Image Super-Resolution Challenge-Track 1 (CVPR2024)
Research Experience
  • Associate Professor with the School of Computer Science and Information Engineering (School of Artificial Intelligence), Hefei University of Technology, under Prof. Meng Wang.
Education
  • Ph.D. degree: Institute of Information Science, Beijing Jiaotong University (BJTU), China, 2022, supervised by Prof. Huihui Bai; Joint Ph.D. Student: School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, from Jul. 2021 to Jul. 2022, supervised by Prof. Weisi Lin; Ph.D. completed in Mepro led by Yao Zhao.
Background
  • Research Interests: Low-level computer vision including AIGC & Detection, text-to-image/video, image/video restoration, compression, and multi-modal models.
Miscellany
  • Email: fengli@hfut.edu.cn; lifeng16.hf@gmail.com
Co-authors
0 total
Co-authors: 0 (list not available)