Chuming Lin (林楚铭)

Chuming Lin (林楚铭)

Chuming is a Researcher at Tencent Youtu Lab, Shanghai.

He got his Master degree from School of Computer Science, Fudan University in 2020, supervised by Prof. Bo Yan. Previously, he received the Bachelor degree from Fudan University in 2017.

His research interests include computer vision and deep learning, particularly focusing on AIGC, temporal action localization and image/video enhancement tasks.

Email / Google Scholar / Github

Recent news

08/2023 – Tencent 2023H1 Outstanding Contributor
04/2023 – 正式对外推出腾讯云智能小样本数智人： 公众号介绍
11/2022 – Our CRI on GAN inversion is accepted by AAAI'23, with the acceptance rate to be 19.6%.
08/2022 – Tencent 2022H1 Outstanding Contributor
06/2022 – Our CDSR on blind image super-resolution is accepted by ACMMM'22, with the acceptance rate to be 27.9%.
09/2021 – Our S2K on blind image super-resolution is accepted by NeurIPS'21, with the acceptance rate to be 26%.
04/2021 – Our Team Imagination is the winner of CVPR NTIRE 2021 Challenge on Video Spatial-Temporal Super-Resolution.
04/2021 – Our Team Imagination is the runner-up of CVPR NTIRE 2021 Challenge on Video Spatial Super-Resolution.
03/2021 – Our AFSD on temporal action localization is accepted by CVPR'21, with the acceptance rate to be 23.7%.
11/2019 – Our DBG on temporal action proposal is accepted by AAAI'20, with the acceptance rate to be 20.6%. The code of our DBG is released at [ActionDetection-DBG], which achieves Top 1 performance on ActivityNet Challenge on Temporal Action Proposals.
11/2018 – Our FFCVSR on video super-resolution is accepted by AAAI'19, with the acceptance rate to be ONLY 16.2%.

Publications (* equal contribution, ^# first student author)

	High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets Y. Wang, C. Lin, D. Luo, Y. Tai, Z. Zhang, Y. Xie. AAAI Conference on Artificial Intelligence (AAAI), 2023 arXiv / Code (Official)
	Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution Y. Zhou, C. Lin, D. Luo, Y. Liu, Y. Tai, C. Wang, M. Chen. ACM International Conference on Multimedia (ACM MM), 2022 arXiv / Paper / Code (Official)
	Learning Salient Boundary Feature for Anchor-free Temporal Action Localization C. Lin, C. Xu, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang and Y. Fu. Computer Vision and Pattern Recognition (CVPR), 2021 arXiv / Paper / Code (Official)
	Fine-Grained Motion Estimation for Video Frame Interpolation B. Yan, W. Tan, C. Lin^#, L. Shen. IEEE Transactions on Broadcasting (IEEE Trans. Broadcast.), 2020 Paper
	Fast Learning of Temporal Action Proposal via Dense Boundary Generator C. Lin, J. Li, Y. Wang, Y. Tai, D. Luo, Z. Cui, C. Wang, J. Li, F. Huang and R. Ji. AAAI Conference on Artificial Intelligence (AAAI), 2020 arXiv / Code (Official) No. 1 performace on ActivityNet Challenge on Temporal Action Proposals
	Frame and Feature-Context Video Super-Resolution B. Yan, C. Lin^#, W. Tan. AAAI Conference on Artificial Intelligence (AAAI), 2019 arXiv / Code (Official)
	Cycle-IR: Deep Cyclic Image Retargeting W. Tan, B. Yan, C. Lin, X. Niu. IEEE Transactions on Multimedia (TMM), 2019 arXiv / Code (Official)
	Foreground Detection in Surveillance Video with Fully Convolutional Semantic Network C. Lin, B. Yan, W. Tan. IEEE International Conference on Image Processing (ICIP), 2018 Paper

Awards

2021 Winner Award of CVPR NTIRE 2021 Challenge on Video Super-Resolution: Spatial-Temporal (Team name: Imagination)
2021 Runner-Up Award of CVPR NTIRE 2021 Challenge on Video Super-Resolution: Spatial (Team name: Imagination)
2020 Shanghai outstanding graduates
2018 and 2019 Huawei Graduate Scholarship of Fudan University
2017 2nd Prize of Graduate Mathematical Contest in Modeling, China
2013 1st Prize of National Olympiad in Informatics in Province (NOIP)

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