李俊诚 (Li Juncheng)

博后研究员

数学人工智能研究中心(CMAI)
数学系,香港中文大学,
香港,新界,沙田,香港中文大学,邵逸夫夫人楼,G07室.

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




简介

我是香港中文大学数学人工智能研究中心的一名博后研究员。我的主管是 曾铁勇教授 和 雷乐铭 教授。我于2021年在华东师范大学计算机科学与技术学院取得博士学位,由 张桂戌方发明教授 共同指导。我的研究兴趣包括人工智能及其在计算机视觉(如图像拼接、图像分割)和图像处理(如图像超分辨率、图像去噪、图像去雾和医学图像重建)中的应用。我在著名的期刊和会议上发表了20余篇论文,包括 TNNLS、TIP、TMM、TCSVT、PR、ECCV、ICCV、AAAI、ACMMM、IJCAI。我获得了多项优质奖项,包括2021年上海优秀博士毕业生、2021年香港中文大学研究奖学金计划、2019 ICCV-AIM(基于示例的RAW到RGB映射挑战)全球第一名等奖项。我同时还担任包括TIP、TMM、TCSVT、INS、PR、KBS和SPL在内的20多个国际期刊会议审稿人。如果您对我的研究感兴趣或有任何疑问,请随时与我联系!

最新消息

NTIRE 2022 双目图像超分辨率挑战赛--圆满结束!

2018-现在,23篇论文,3篇比赛报告

----------博后期间----------
一篇论文已被 Neurocomputing, 2022.
一篇论文已被 IJCAI, 2022.
一篇比赛报告已被 CVPR Workshop接收, 2022.
两篇论文已被 CVPR Workshop接收, 2022.
一篇论文已被 IEEE TMM接收, 2022.
一篇论文已被 AAAI接收, 2021.
----------博士期间----------
一篇论文已被 ICCV接收, 2021.
一篇论文已被 ACMMM接收, 2021.
一篇论文已被 IEEE TMM接收, 2021.
一篇论文已被 PR接收, 2021.
一篇论文已被 IEEE TMM接收, 2021.
一篇论文已被 ICME接收 2021.
一篇论文已被 IEEE TCSVT接收, 2020.
一篇论文已被 IEEE TMM接收, 2020.
一篇论文已被 IEEE Access接收, 2020.
一篇论文已被 IEEE TNNLS接收, 2020.
一篇论文已被 IEEE TIP接收, 2020.
两篇论文已被 ICCV Workshop接收, 2019.
一篇比赛报告已被 ICCV Workshop接收, 2019.
一篇论文已被 IET Image Processing接收, 2019.
一篇论文已被 ICONIP接收, 2018.
一篇论文已被 ACCV接收, 2018.
一篇论文已被 ECCV接收, 2018.
一篇比赛报告已被 CVPR Workshop接收, 2018.

荣誉 & 奖项

2016-现在 (研究生期间)

研究奖学金资助, 香港中文大学, 2021.
上海市优秀博士毕业生称号, 上海市教委, 2021.
创智青年称号, 华东师范大学, 2020. (0.5%)
优秀学生称号, 华东师范大学, 2020. (3.0%)
智慧奖学金, 华东师范大学, 2020. (1.5%)
博士生科研创新基金项目, 华东师范大学, 2020.
研究生奖学金, 华东师范大学, 2016-2020.
ICCV学生旅行资助, 2019.
获得"基于示例的RAW图像到RGB图像映射挑战赛"的感知赛道的全球第一名, (ICCV-AIM), 2019.
获得"基于示例的RAW图像到RGB图像映射挑战赛"的保真赛道的全球第二名, (ICCV-AIM), 2019.
获得"阿里巴巴 - 优酷视频增强和超分辨率挑战赛"全国第四名 和 “极客奖”, (4/1514), 2019.
获得"中国多媒体大会 - 去雾挑战赛"全国第三名, 二等奖, (ChinaMM), 2018.
获得"图像去雾挑战赛"全球第六名 和 “荣誉提名奖”, (CVPR-NTIRE), 2018.
获得 "京东算法挑战赛 - 潜在购买用户预测" 全国第24名, (24/4240), 2017.

科研经历

精选出版物 [总引用: 879] [最高引用: 443]

#:共同一作 *:通讯作者

预印本

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.

[论文] [主页]

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution
Guangwei Gao#, Zixiang Xu#, Juncheng Li*, Jian Yang, Tieyong Zeng, and Guo-Jun Qi.

arXiv 2204.08696, 2022.
[论文]

期刊论文

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.
MSRN模型的改进版本。SCI-2区。
[论文] [代码] [主页]

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

IEEE Transactions on Image Processing (IEEE TIP), 2020.
作者按字母序排列。
该工作在香港中文大学访问期间完成。SCI-1区。

[论文] [代码] [主页]

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

IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020.
作者按字母序排列。
该工作在香港中文大学访问期间完成。SCI-1区。

[论文] [代码] [主页]

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.
SCI-1区。
[论文] [代码]

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.
SCI-1区。
[论文]

FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation 【New】
Guangwei Gao#, Guoan Xu#, Juncheng Li*, Yi Yu*, Huimin Lu, and Jian Yang

IEEE Transactions on Multimedia (IEEE TMM), 2022.
SCI-1区。
[论文] [主页]

Adjustable Super-Resolution Network via Deep Supervised Learning and Progressive Self-Distillation
Juncheng Li, Faming Fang*, Tieyong Zeng, Guixu Zhang, and Xizhao Wang

Neurocomputing (NC), 2022.
SCI-2.
[论文]

会议论文

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

European Conference on Computer Vision (ECCV), 2018.
计算机视觉顶级会议。【引用:430+】

[论文] [海报] [代码] [主页]

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.
计算机顶级会议。
[论文] [海报] [代码] [主页]

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

ACM International Conference on Multimedia (ACM MM), 2021.
多媒体顶级会议。
[论文] [海报] [代码]

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution 【New】
Guangwei Gao#, Wenjie Li#, Juncheng Li*, Fei Wu, Huimin Lu, and Yi Yu

Association for the Advancement of Artificial Intelligence (AAAI), 2022.
人工智能顶会.
[论文] [海报] [代码] [主页]

Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer 【New】
Guangwei Gao#, Zhengxue Wang#, Juncheng Li*, Wenjie Li, Yi Yu, and Tieyong Zeng

International Joint Conference on Artificial Intelligence (IJCAI), 2022.
人工智能顶会.
[论文] [代码] [主页]

研讨会论文

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.
口头报告(Oral Presentation)
[论文] [海报] [报告PPT] [代码] [主页]

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

IInternational Conference on Computer Vision Workshop (ICCV Workshop), 2019.
AIM2019 图像增强挑战赛冠军模型。
[论文] [代码]

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation 【New】
Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng*, and Guixu Zhang

The Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 2022.
NTIRE
[论文] [海报]

Transformer for Single Image Super-Resolution 【New】
Zhisheng Lu#, Juncheng Li#, Hong Liu*, Chaoyan Huang, Linlin Zhang, and Tieyong Zeng

The Conference on Computer Vision and Pattern Recognition Workshop (CVPR Workshop), 2022.
NTIRE

[论文] [补充材料] [海报] [代码] [主页]

比赛报告

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

CVPR NTIRE, 2018.
第六名 及 荣誉提名奖。
[论文]

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results

ICCV AIM, 2019.
第2赛道第1名。第1赛道第2名。
[论文]

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results 【New】

CVPR NTIRE, 2022.
Longguang Wang, Yulan Guo*, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte
组织者

[论文] [视频] [主页]

学术服务

组织者

NTIRE 2022: Stereo Image Super-Resolution Challenge.
IEEE ICME 2021 Special Session "Advanced Representation Learning for Robust Multimedia Image Understanding".

程序委员会成员 (PC)

New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE), 2022.

技术委员会成员 (TPC)

The 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, 2022.
Transdisciplinary Information Sciences conferences - Workshop on Algorithm and Big Data, 2022.
International Conference on Autonomic and Autonomous Systems (ICAS), 2021.

期刊审稿人

IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Information Science (INS)
Pattern Recognition (PR)
Knowledge-Based Systems (KBS)
IEEE Signal Processing Letters (SPL)

会议审稿人

New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE)
IEEE International Conference on Multimedia & Expo (ICME)
The British Machine Vision Conference (BMVC)
International Conference on Pattern Recognition (ICPR)

学会会员

CVF/CCF/CSIG/CAAI会员
MIVRC 发起人
丛林蜂工作室(CLF Studio)创始人【非营利学生创新工作室】

主题演讲

Structure-Preserving Deraining with Residue Channel Prior Guidance

内部组会,香港中文大学.
香港, 中国, 2021.08.20
[PPT]

Exploration and Construction of Lightweight Image Restoration Model

大数据技术与应用研究所,计算机与软件学院,深圳大学.
深圳, 中国, 2020.12.21.
[海报] [PPT]

Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution

IEEE International Conference on Computer Vision Workshop (ICCVW).
首尔, 韩国, 2019.11.02.
[PPT]

合作者

Tieyong Zeng Kangfu Mei Guangwei Gao Longguang Wang Yingqian Wang


© 李俊诚 | 最后更新: 2022-5