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
李俊诚 (Li Juncheng)博后研究员
数学人工智能研究中心（CMAI），
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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 和 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！
| ----------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. |
| 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. |
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From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution Juncheng Li, Zehua Pei, and Tieyong Zeng*. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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NTIRE 2018 Challenge on Image Dehazing: Methods and Results CVPR NTIRE, 2018. |
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AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results ICCV AIM, 2019. |
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NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results 【New】 CVPR NTIRE, 2022. |
| NTIRE 2022: Stereo Image Super-Resolution Challenge. |
| IEEE ICME 2021 Special Session "Advanced Representation Learning for Robust Multimedia Image Understanding". |
| New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing (NTIRE), 2022. |
| 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) |
| 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) |
| 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】 |
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Structure-Preserving Deraining with Residue Channel Prior Guidance 内部组会，香港中文大学. |
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Exploration and Construction of Lightweight Image Restoration Model |
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Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution IEEE International Conference on Computer Vision Workshop (ICCVW). |
| Tieyong Zeng | Kangfu Mei | Guangwei Gao | Longguang Wang | Yingqian Wang |