Jing Lin 林靖

Tsinghua University

jinglin.stu gmail.com

Biography

I am currently a 3rd-Year Master student at Tsinghua University, under the guidance of Haoqian Wang. I got B.Eng. degree in Automation at Harbin Institute of Technology (Shenzhen).

Currently, my research topic is 3D computer vision, with a particular focus on 3D human-scene perception and generation from in-the-wild images/videos. Previously, I focused on low-level vision, e.g., image/video restoration and computational imaging.

I'm passionate about open-source code. Codes, models, and datasets from my projects are released and have earned over 1.3K stars. Check out my GitHub page! I am an activate player in competitions of international top academic conferences and I have won the champion on NTIRE Spectral Recovery Challenge at CVPR2022, Third Place on NTIRE Video Super-Resolution Challenge at CVPR 2021. Our OSX ranks top-1 on AGORA benchmark from Nov. 2022 to Apr. 2023.

I am looking for a PhD position in Fall, 2024. I'm open to any meaningful research topics during my doctoral studies.

Publications

	Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang Conference on Neural Information Processing Systems 2023 (NeurIPS 2023)* Home [arXiv, Reader]
	One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li Computer Vision and Pattern Recognition 2023 (CVPR 2023) Home [arXiv, Reader] Video
	Flow-Guided Sparse Transformer for Video Deblurring Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader]
	Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader]
	Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool Computer Vision and Pattern Recognition (CVPR 2022) Home [arXiv, Reader]
	Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool European Conference on Computer Vision 2022 (ECCV 2022) Home [arXiv, Reader]
	Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool Conference on Neural Information Processing Systems 2022 (NeurIPS 2022) Home [arXiv, Reader]
	MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool Conference on Computer Vision and Pattern Recognition Workshops 2022 (CVPRW 2022 Oral) Home [arXiv, Reader]

Honors & Awards

Winner of NTIRE Spectral Reconstruction Challenge at CVPR 2022
Third Place of NTIRE Video Super-Resolution Challenge at CVPR 2021
National Scholarship (2019)
First Class Scholarship (2019, 2020, 2022)

Academic Service

Reviewers of: CVPR, ECCV, ICCV, NeurIPS, ICME

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	Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang Conference on Neural Information Processing Systems 2023 (NeurIPS 2023)* Home [arXiv, Reader]
	One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li Computer Vision and Pattern Recognition 2023 (CVPR 2023) Home [arXiv, Reader] Video
	Flow-Guided Sparse Transformer for Video Deblurring Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader]
	Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool International Conference on Machine Learning 2022 (ICML 2022) Home [arXiv, Reader]
	Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool Computer Vision and Pattern Recognition (CVPR 2022) Home [arXiv, Reader]
	Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool European Conference on Computer Vision 2022 (ECCV 2022) Home [arXiv, Reader]
	Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool Conference on Neural Information Processing Systems 2022 (NeurIPS 2022) Home [arXiv, Reader]
	MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool Conference on Computer Vision and Pattern Recognition Workshops 2022 (CVPRW 2022 Oral) Home [arXiv, Reader]