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Feng Li 李锋

I am an Associate Professor with the School of Computer Science and Information Engineering (School of Artificial Intelligence), Hefei University of Technology under Prof. Meng Wang. I received my Ph.D. degree in the Institute of Information Science, Beijing Jiaotong University (BJTU), China, 2022, supervised by Prof. Huihui Bai. I was a Joint Ph.D. Student from Jul. 2021 to Jul. 2022 in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore, supervised by Prof. Weisi Lin. I was fortunate to complete my Ph.D. degree in Mepro Led by Yao Zhao (BJTU). I also was fortunate to work closely with Prof. Runmin Cong (SDU).

 

Research Interests

Low-level computer vision including AIGC & Detection, text-to-image/video, image/video restoration, compression, and multi-modal models

  fengli@hfut.edu.cn; lifeng16.hf@gmail.com             Google Scholar                            

News

  • One TIP paper is accepted.
  • One CVPR paper is accepted. Congratulations to Shuoyan
  • One ICLR paper is accepted. Congratulations to Anqi
  • Three AAAI papers are accepted.
  • One TPAMI paper is accepted. Congratulations to Man Liu
  • One IJCV paper is accepted.
  • We won the 2nd place on NTIRE 2024 Stereo Image Super-Resolution Challenge-Track 1 (CVPR2024). Congratulations to Rongxin.
  • One TII paper and one TOMM paper are accepted.
  • Two TMM papers are accepted.
  • One TCSVT paper is accepted.
  • One paper is accepted by CVPR 2023 and was selected as 1 of 10% highlight.

Selected Publications

Reference-based Iterative Interaction with P^2-Matching for Stereo Image Super-Resolution
Runmin Cong, Rongxin Liao, Feng Li*, Ronghui Sheng, Huihui Bai, Renjie Wan, Sam Kwong, and Wei Zhang
 IEEE Transactions on Image Processing (IEEE TIP), 2025

EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events
Shuoyan Wei, Feng Li*, Shengen Tang, Yao Zhao, Huihui Bai*
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Top 13.5% highlight), 2025
 [Arxiv] [Code]

Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption
 Anqi Li, Feng Li*, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai*
 International Conference on Learning Representations (ICLR), 2025
 [Arxiv] [Code]

SRConvNet: A Transformer-Style ConvNet for Lightweight Image Super-Resolution
 Feng Li, Runmin Cong*, Jingjing Wu, Huihui Bai, Meng Wang, Yao Zhao
 International Journal of Computer Vision (IJCV), 2025
 [PDF] [Code]

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
 Mingshen Wang, Zhao Zhang*, Feng Li*, Ke Xu, Kang Miao, Meng Wang
 AAAI Conference on Artificial Intelligence (AAAI), 2025
 [Arxiv] [Code]

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Man Liu, Huihui Bai*, Feng Li*, Chunjie Zhang, Yunchao Wei, Tat-Seng Chua, and Yao Zhao
 AAAI Conference on Artificial Intelligence (AAAI), 2025
 [Arxiv]

Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
Shengeng Tang, Jiayi He, Dan Guo, Yanyan Wei*, Feng Li, Richang Hong*
 AAAI Conference on Artificial Intelligence (AAAI, Oral), 2025
 [Arxiv] [Code]

PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
 Man Liu, Huihui Bai*, Feng Li*, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao
 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
 [PDF]

BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-Resolution
Feng Li, Yixuan Wu, Zichao Liang, Runmin Cong, Huihui Bai*, Yao Zhao, and Meng Wang.
Science China-Information Science (SCIS), 2024
 [Arxiv] [Code]

Progressive Semantic-Visual Mutual adaption for Generalized Zero-Shot Learning
 Man Liu, Feng Li, Chunjie Zhang, Yunchao Wei, Huihui Bai*, and Yao Zhao
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR, Top 10% highlight), 2023
 [PDF] [Code]

Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
 Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao
 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
 [PDF] [Supplementary Material] [Homepage]

Cross-Modality Discrepant Interaction Network for RGB-D Salient Object Detection
 Chen Zhang, Runmin Cong, Qinwei Lin, Lin Ma, Feng Li, Yao Zhao, Sam Kwong
 ACM International Conference on Multimedia (ACM MM), 2021
 [PDF] [Code]

Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-aware Extrapolation
 Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao
 IEEE International Conference on Computer Vision (ICCV), 2021
 [PDF]

Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-attention
 Feng Li†, Runmin Cong†, Huihui Bai, Yifan He
 International Joint Conference on Artificial Intelligence (IJCAI), 2020
 [PDF] [Code]

Learning a Deep Dual Attention Network for Video Super-Resolution
 Feng Li, Huihui Bai, and Yao Zhao
 IEEE Transactions on Image Processing (TIP), 2020
 [PDF] [Code]