Shanxin Yuan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 50

Top Topics

High Dynamic Range

Top Venues

Publications

Lin Liu, Junfeng An, Shanxin Yuan, Wengang Zhou, Houqiang Li, Yan-Feng Wang, Qi Tian
Video Demoiréing With Deep Temporal Color Embedding and Video-Image Invertible Consistency. IEEE Trans. Multim. 26 (2024)
Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
Wavelet-based network for high dynamic range imaging. Comput. Vis. Image Underst. 238 (2024)
Quan Chen, Bolun Zheng, Chenggang Yan, Zunjie Zhu, Tingyu Wang, Gregory G. Slabaugh, Shanxin Yuan
GoLDFormer: A global-local deformable window transformer for efficient image restoration. J. Vis. Commun. Image Represent. 100 (2024)
Qianyu Zhang, Bolun Zheng, Zongpeng Li, Yu Liu, Zunjie Zhu, Gregory G. Slabaugh, Shanxin Yuan
Non-local degradation modeling for spatially adaptive single image super-resolution. Neural Networks 175 (2024)
Rufeng Chen, Bolun Zheng, Hua Zhang, Quan Chen, Chenggang Yan, Gregory G. Slabaugh, Shanxin Yuan
Improving Dynamic HDR Imaging with Fusion Transformer. AAAI (2023)
Henry Senior, Gregory G. Slabaugh, Shanxin Yuan, Luca Rossi
Graph Neural Networks in Vision-Language Image Understanding: A Survey. CoRR (2023)
Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu, Xiaokang Yang, Weichao Qiu, Wei Shen
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds. CVPR (2023)
Lin Liu, Mingming Zhao, Shanxin Yuan, Wenlong Lyu, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
Exploring Effective Mask Sampling Modeling for Neural Image Compression. CoRR (2023)
Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
Low-Light Video Enhancement with Synthetic Event Guidance. AAAI (2023)
Chen Yang, Peihao Li, Zanwei Zhou, Shanxin Yuan, Bingbing Liu, Xiaokang Yang, Weichao Qiu, Wei Shen
NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds. CoRR (2023)
Quan Chen, Bolun Zheng, Xiaofei Zhou, Aiai Huang, Yaoqi Sun, Chuqiao Chen, Chenggang Yan, Shanxin Yuan
Depth-guided deep filtering network for efficient single image bokeh rendering. Neural Comput. Appl. 35 (28) (2023)
Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. BMVC (2022)
Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian
TAPE: Task-Agnostic Prior Embedding for Image Restoration. ECCV (18) (2022)
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers. AAAI (2022)
Bolun Zheng, Xiaokai Pan, Hua Zhang, Xiaofei Zhou, Gregory G. Slabaugh, Chenggang Yan, Shanxin Yuan
DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging. ACM Multimedia (2022)
Wei Li, Shuai Xiao, Tianhong Dai, Shanxin Yuan, Tao Wang, Cheng Li, Fenglong Song
SJ-HD^2R: Selective Joint High Dynamic Range and Denoising Imaging for Dynamic Scenes. CoRR (2022)
Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. CoRR (2022)
Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian
Low-Light Video Enhancement with Synthetic Event Guidance. CoRR (2022)
Hengrun Zhao, Bolun Zheng, Shanxin Yuan, Hua Zhang, Chenggang Yan, Liang Li, Gregory G. Slabaugh
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Bolun Zheng, Quan Chen, Shanxin Yuan, Xiaofei Zhou, Hua Zhang, Jiyong Zhang, Chenggang Yan, Gregory G. Slabaugh
Constrained Predictive Filters for Single Image Bokeh Rendering. IEEE Trans. Computational Imaging 8 (2022)
Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, Gregory G. Slabaugh
Learning Frequency Domain Priors for Image Demoireing. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian
TAPE: Task-Agnostic Prior Embedding for Image Restoration. CoRR (2022)
Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
Wavelet-Based Network For High Dynamic Range Imaging. CoRR (2021)
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers. CoRR (2021)
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian
Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs. CoRR (2020)
Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis
Image Demoireing with Learnable Bandpass Filters. CoRR (2020)
Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian
Wavelet-Based Dual-Branch Network for Image Demoiréing. ECCV (13) (2020)
Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CoRR (2020)
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory G. Slabaugh, Qi Tian
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs. NeurIPS (2020)
Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian
Wavelet-Based Dual-Branch Network for Image Demoireing. CoRR (2020)
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
Video Super-resolution with Temporal Group Attention. CoRR (2020)
Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis
Image Demoireing with Learnable Bandpass Filters. CVPR (2020)
Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory G. Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, Vien Gia An, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S. Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P. S, C. V. Jiji, Ashish Sinha, Xuan Zhao
NTIRE 2020 Challenge on Image Demoireing: Methods and Results. CVPR Workshops (2020)
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory G. Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian
Video Super-Resolution With Temporal Group Attention. CVPR (2020)
Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan
AIM 2019 Challenge on Image Demoireing: Methods and Results. CoRR (2019)
Danhang Tang, Qi Ye, Shanxin Yuan, Jonathan Taylor, Pushmeet Kohli, Cem Keskin, Tae-Kyun Kim, Jamie Shotton
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis
AIM 2019 Challenge on Image Demoireing: Dataset and Study. ICCV Workshops (2019)
Shanxin Yuan, Radu Timofte, Gregory G. Slabaugh, Ales Leonardis
AIM 2019 Challenge on Image Demoireing: Dataset and Study. CoRR (2019)
Shanxin Yuan, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Radu Timofte, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Gregory G. Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng
AIM 2019 Challenge on Image Demoireing: Methods and Results. ICCV Workshops (2019)
Shanxin Yuan, Björn Stenger, Tae-Kyun Kim
3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data. ICCV Workshops (2019)
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim
First-Person Hand Action Benchmark With RGB-D Videos and 3D Hand Pose Annotations. CVPR (2018)
Shanxin Yuan, Björn Stenger, Tae-Kyun Kim
RGB-based 3D Hand Pose Estimation via Privileged Learning with Depth Images. CoRR (2018)
Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. CVPR (2018)
Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. CVPR (2017)
Shanxin Yuan, Qi Ye, Guillermo Garcia-Hernando, Tae-Kyun Kim
The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation. CoRR (2017)
Shanxin Yuan, Qi Ye, Björn Stenger, Siddhant Jain, Tae-Kyun Kim
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis. CoRR (2017)
Guillermo Garcia-Hernando, Shanxin Yuan, Seungryul Baek, Tae-Kyun Kim
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations. CoRR (2017)
Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis A. Argyros, Tae-Kyun Kim
3D Hand Pose Estimation: From Current Achievements to Future Goals. CoRR (2017)
Qi Ye, Shanxin Yuan, Tae-Kyun Kim
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. ECCV (8) (2016)
Qi Ye, Shanxin Yuan, Tae-Kyun Kim
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation. CoRR (2016)
Shanxin Yuan, Jun Miao, Laiyun Qing
Robust multi-patch tracking. ICIP (2013)