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, Hefei, China. 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, multi-modal, text-to-image/video, image/video restoration, and compression

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

Selected Publications (* : Corresponding, † : Equal contribution)

2024

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.
[Arxiv] [Code]

Progressive Complementary Knowledge Aggregation for CdZnTe Defect Segmentation
Peihao Li, Feng Li, Man Liu, Huihui Bai*, Yunchao Wei, Anhong Wang, Shijie Ma, and Yao Zhao.
IEEE Transactions on Industrial Informatics (TII)
[PDF]

Enhanced Video Super-Resolution Network Towards Compressed Data
Feng Li, Yixuan Wu, Anqi Li, Huihui Bai*, Runmin Cong, and Yao Zhao
ACM Transactions on Multimedia Computing Communications and Applications (TOMM)
[PDF] [Code]

2023

SYRER: Synergistic Relational Reasoning for RGB-D Cross-modal Re-identification
Hao Liu, Jingjing Wu, Feng Li, Jianguo Jiang, and Richang Hong
IEEE Transactions on Multimedia (TMM)
[PDF]

Reflection Intensity Guided Single Image Reflection Removal and Transmission Recovery
Lingzhi He, Feng Li, Runmin Cong, and Yao Zhao*
IEEE Transactions on Multimedia (TMM)
[PDF]

You Can Mask More For Extremely Low-Bitrate Image Compression
Anqi Li†, Feng Li†, Jiaxin Han, Huihui Bai*, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, and Yao Zhao
[Arxiv] [Code]

Exploring Resolution Fields for Scalable Image Compression with Uncertainty Guidance
Dongyi Zhang†, Feng Li†, Man Liu, Runmin Cong, Huihui Bai*, Meng Wang, and Yao Zhao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
[PDF] [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)
[PDF] [Code] (Top 10% highlight)

2022

SRPose: Low Resolution Human Pose Estimation with Super-Resolution
Xiyue Sun, Feng Li, Huihui Bai*, Rongrong Ni, and Yao Zhao
The 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (Best Paper Award)
[Paper will be available soon]

Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution (Popular Document)
Yixuan Wu†, Feng Li†, Huihui Bai*, Weisi Lin, Runmin Cong, Chunjie Zhang, and Yao Zhao
IEEE Transactions on Multimedia (TMM)
[PDF] [Code]

Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
Feng Li†, Yixuan Wu†, Huihui Bai*, Weisi Lin, Runmin Cong, Chunjie Zhang, and Yao Zhao
IEEE Transactions on Multimedia (TMM)
[PDF] [Code]

SRInpaintor: When Super-Resolution Meets Transformer for Image Inpainting (Popular Document)
Feng Li, Anqi Li, Jia Qin, Huihui Bai*, Weisi Lin, Runmin Cong, and Yao Zhao
IEEE Transactions on Computational Imaging (TCI)
[PDF]

2021

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)
[PDF]

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)
[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)
[PDF] [Supplementary Material] [Homepage]

2020

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

FilterNet: Adaptive Information Filtering Network for Accurate and Fast Image Super-Resolution
Feng Li, Huihui Bai, Yao Zhao
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
[PDF]

Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image Restoration
Feng Li†, Runmin Cong†, Huihui Bai, Yifan He, Yao Zhao, Ce Zhu
Arxiv, 2020
[PDF] [Code]

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)
[PDF] [Code]

2019

Detail-Preserving Image Super-Resolution via Recursively Dilated Residual Network
Feng Li, Huihui Bai, Yao Zhao
Neurocomputing
[PDF]