Juncheng Li (李俊诚)

Postdoctoral Fellow

Center for Mathematical Artificial Intelligence (CMAI),
Department of Mathematics,
The Chinese University of Hong Kong,
G07, Lady Shaw Building, CUHK, Shatin, N.T., Hong Kong.

Email: cvjunchengli[at]gmail.com & junchengli[at]math.cuhk.edu.hk


Success is not final, failure is not fatal, it is the courage to continue that counts.--Churchill



Biography

Dr. Juncheng Li is a Postdoctoral Fellow at the Center for Mathematical Artificial Intelligence, The Chinese University of Hong Kong, co-advised by Prof. ZENG Tieyong and Prof. Ronald Lok Ming LUI. He received the Ph.D. from the School of Computer Science and Technology, East China Normal University (ECNU), China, in 2021, co-advised by Prof. Guixu Zhang and Prof. Faming Fang. His research interests include artificial intelligence and its applications to computer vision (e.g., image stitching, image segmentation, and crowd counting) and image processing (e.g., image super-resolution, image denoising, image dehazing, and medical image reconstruction). He has published 20 papers in top journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Multimedia (TMM), Pattern Recognition (PR), European Conference on Computer Vision (ECCV), International Conference on Computer Vision (ICCV), Association for the Advancement of Artificial Intelligence (AAAI), and ACM International Conference on Multimedia (ACMMM). He received several premium awards including the Outstanding PhD Graduates in Shanghai 2021, CUHK Research Fellowship Scheme 2021, the winner of 2019 ICCV-AIM (Example-based RAW to RGB Mapping Challenge), etc.

News

2018-Now, 20 Papers

One paper is accepted by AAAI 2021.
One paper is accepted by ICCV 2021.
One paper is accepted by ACM MM 2021.
One paper is accepted by IEEE TMM 2021.
One paper is accepted by PR 2021.
One paper is accepted by IEEE TMM 2021.
One paper is accepted by ICME 2021.
One paper is accepted by IEEE TCSVT 2020.
One paper is accepted by IEEE TMM 2020.
One paper is accepted by IEEE Access 2020.
One paper is accepted by IEEE TNNLS 2020.
One paper is accepted by IEEE TIP 2020.
Three papers are accepted by ICCV Workshop 2019.
One paper is accepted by IET Image Processing 2019.
One paper is accepted by ICONIP 2018.
One paper is accepted by ACCV 2018.
One paper is accepted by ECCV 2018.
One paper is accepted by CVPR Workshop 2018.

Honors & Awards

2016-Present (Graduate Period)

Research Fellowship Scheme, The Chinese University of Hong Kong, 2021.
Outstanding PhD Graduates in Shanghai, Shanghai, 2021.
Innovative and Intelligent Youth, East China Normal University, 2020. (0.5%)
Outstanding Student, East China Normal University, 2020. (3.0%)
Wisdom Scholarship, East China Normal University, 2020. (1.5%)
Doctoral Research and Innovation Fund Project, East China Normal University, 2020.
Graduate Scholarship, East China Normal University, 2016-2020.
ICCV Travel Award, 2019.
The 1st place in "Example-based RAW to RGB Mapping Challenge", Track 2: Perceptual. (ICCV-AIM), 2019.
The 2nd place in "Example-based RAW to RGB Mapping Challenge", Track 1: Fidelity. (ICCV-AIM), 2019.
The 4th place and "Geek Award" in Alibaba - "Youku Video Enhancement and Super Resolution Challenge" (4/1514), 2019.
The 3rd place in China Multimedia - "Image Dehazing Challenge", (ChinaMM), 2018.
The 6th place and "Honorable Mention Award" in "Image Dehazing Challenge". (CVPR-NTIRE), 2018.
Ranked 24th in Jingdong Algorithm Challenge - "Potential User Prediction" (24/4240), 2017.

2012-2016 (Undergraduate Period)

Mingde Scholarship, China, 2015. (3.0%)
Second Award in National Computer Design Contest, China, 2014, 2015.
Outstanding Graduates, Jiangxi Normal University, 2016.
Merit Student, Jiangxi Normal University, 2013-2016.
Outstanding Student, Jiangxi Normal University, 2013-2016.
First-class Student Scholarship, Jiangxi Normal University, 2013-2016

Research Experience

Selected Publications [Total Citations: 568] [Highest Citation: 314]

Preprint Papers

Efficient Transformer for Single Image Super-Resolution
Zhisheng Lu, Hong Liu, Juncheng Li, and Linlin Zhang.

arXiv 2108.11084, 2021.
The first Transformer-based lightweight SISR model.
[Paper]

From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution
Juncheng Li, Zehua Pei, and Tieyong Zeng.

arXiv 2109.14335, 2021.
[Paper] [Homepage]

Journal Papers

MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Juncheng Li, Faming Fang, Jiaqian Li, Kangfu Mei, and Guixu Zhang.

IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020.
Improved version of MSRN. SCI-2.
[Paper] [Code] [Homepage]

Soft-edge Assisted Network for Single Image Super-Resolution
Faming Fang, Juncheng Li*, and Tieyong Zeng.

IEEE Transactions on Image Processing (IEEE TIP), 2020.
*First contributor, Author names alphabetically.
This achievement was completed during the visit of the Chinese University of Hong Kong (CUHK). SCI-1, Top journal.
[Paper] [Code] [Homepage]

Multi-level Edge Features Guided Network for Image Denoising
Faming Fang, Juncheng Li*, Yiting Yuan, Tieyong Zeng, and Guixu Zhang.

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020.
*First contributor, Author names alphabetically.
This achievement was completed during the visit of the Chinese University of Hong Kong (CUHK). SCI-1, Top journal.
[Paper] [Code] [Homepage]

Luminance-aware Pyramid Network for Low-light Image Enhancement
Jiaqian Li#, Juncheng Li#, Faming Fang, Fang Li, and Guixu Zhang.

IEEE Transactions on Multimedia (IEEE TMM), 2020.
#Equal Contribution. Guided by me. SCI-1.
[Paper] [Code]

Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Qiaosi Yi#, Juncheng Li#, Faming Fang, Aiwen Jiang, Guixu Zhang

IEEE Transactions on Multimedia (IEEE TMM), 2020.
#Equal Contribution. Guided by me. SCI-1.
[Paper]

Conference Papers

Multi-scale Residual Network for Image Super-Resolution
Juncheng Li, Faming Fang, Kangfu Mei, and Guixu Zhang.

European Conference on Computer Vision (ECCV), 2018.
Top computer vision conference. The most popular paper. 244 stars and 54 forks in Github.
[Paper] [Poster] [Code] [Homepage]

Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
Juncheng Li, Yiting Yuan, Kangfu Mei, and Faming Fang.

International Conference on Computer Vision Workshop (ICCV Workshop), 2019.
Oral Presentation
[Paper] [Poster] [Slides] [Code] [Homepage]

Structure-Preserving Deraining with Residue Channel Prior Guidance
Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, and Tieyong Zeng.

International Conference on Computer Vision (ICCV), 2021.
Top computer vision conference. Guided by me.
[Paper] [Poster] [Code] [Homepage]

Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Qinyan Dai, Juncheng Li, Qiaosi Yi, Faming Fang, and Guixu Zhang1g.

ACM International Conference on Multimedia (ACM MM), 2021.
Top multimedia conference. Guided by me.
[Paper] [Poster] [Code]

HighEr-Resolution Network for Image Demosaicing and Enhancing
Kangfu Mei, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, and Rui Huang.

International Conference on Computer Vision Workshop (ICCV Workshop), 2019.
AIM2019 Winner
[Paper] [Code]

Academic Services

Selected Reviewer

IEEE Transactions on Image Processing
IEEE Transactions on Multimedia
Information Science
Pattern Recognition
Knowledge-Based Systems
IEEE Signal Processing Letters
International Conference on Multimedia and Expo (ICME-2021)
British Machine Vision Conference (BMVC-2020, 2021)
International Conference on Pattern Recognition (ICPR-2020)

Technical Program Committee (TPC)

International Conference on Autonomic and Autonomous Systems (ICAS), 2021.
Transdisciplinary Information Sciences Conferences - Workshop on Algorithm and Big Data, 2022.

Association Member

Member of the Computer Vision Foundation (CVF)
Member of China Computer Federation (CCF)
Member of the China Society of Image Graphics (CSIG)
Member of the Chinese Association for Artificial Intelligence (CAAI)
Founder of CLF Studio 【A non-profit student innovation studio】
Founder of MIVRC 【A non-profit image processing laboratory affiliated with CLF-AI】

Keynotes

Structure-Preserving Deraining with Residue Channel Prior Guidance

Internal meeting, Chinese University of Hong Kong.
Hong Kong, China, 2021.08.20
[Slides]

Exploration and Construction of Lightweight Image Restoration Model

Institute of Big Data Technology and Application, School of Computer and Software, Shenzhen University.
Shenzhen, China, 2020.12.21.
[Poster] [Slides]

Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution

IEEE International Conference on Computer Vision (ICCV).
Seoul, Korea, 2019.11.02.
[Slides]

Meeting (2016.9-Present)

CSIAM-2020, Changsha, China, 2020.
PRCV-2020, Nanjing, China, 2020.
SCF-2020, Shanghai, China, 2019.
NeurlPS-Shanghai, Shanghai, China, 2019.
ICCV-2019, Seoul, Korea, 2019.
YouKu-VSRE-2019, Hanzhou, China, 2019.
RAMIDS-2019, Shanghai Jiao Tong University, Shanghai, China, 2019.
VALSE-2019, Hefei, China, 2019.
ECCV-2018, Munich, Germany, 2018.
ECCV Pre-Conference, Tencent, Shenzhen, China, 2018.
AWS Reinvent, Shanghai, China, 2018.
MICS-2017, Shanghai Jiao Tong University, Shanghai, China, 2017.
FLAIR-2017, Shanghai, China, 2017.
VALSE-2017, Xiamen University, Xiamen, China, 2017.
Tianyuan Class, Zhejiang University, Hanzhou, China, 2017.
ROS Class, East China University, Shanghai, China, 2017.
MLA-2016, Nanjing University, Nanjing, China, 2016.
Youth Vision Seminar, ShanghaiTech University, Shanghai, China, 2016.


© Juncheng Li | Last updated: 2021-12