Jing Lin

Binarized Spectral Compressive Imaging

May 17, 2023
Yuanhao Cai, Yuxin Zheng, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang

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* The first work to study binarized spectral compressive imaging reconstruction problem

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One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer

Mar 28, 2023
Jing Lin, Ailing Zeng, Haoqian Wang, Lei Zhang, Yu Li

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* Accepted to CVPR2023; Top-1 on AGORA SMPLX benchmark; Project Page: https://osx-ubody.github.io/

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Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement

Mar 12, 2023
Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang

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Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration

May 20, 2022
Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool

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* ICML 2022; The first sequence-to-sequence model for video restoration

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Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

May 20, 2022
Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool

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* The first Transformer-based deep unfolding method for spectral compressive imaging

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PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

May 19, 2022
Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu

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* International Joint Conference on Neural Networks (IJCNN 2022, Padua, Italy), 8 pages, Camera-Ready Version

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MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Apr 17, 2022
Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool

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* CVPRW 2022
* Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB; The First Transformer-based Method for Spectral Reconstruction

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Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Mar 09, 2022
Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool

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* A novel state-of-the-art Transformer-based method for hyperspectral image reconstruction

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HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

Mar 04, 2022
Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool

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* CVPR 2022

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