Shanxin Yuan


Senior Research Scientist
Huawei Noah's Ark Lab

Personal: [Google Scholar]
Email: shanxin.yuan@huawei.com or  shanxinyuan@gmail.com

This website is no longer being maintained, please see my new website here. 


News

September 2020: I have one paper accepted to NeurIPS 2020.
July 2020: I have one paper accepted to ECCV 2020.
February 2020: I have two papers accepted to CVPR 2020.
March 2020: I am hosting the image demoireing challenge along with NTIRE 2020 workshop. 
July 2019: I am hosting the image demoireing challenge along with AIM 2019 workshop.
April 2018: I have one paper accepted to TPAMI!
February 2018: I have two papers accepted to CVPR 2018!
October 2017: I made a presentation in the HANDS17 workshop at ICCV 2017.
September 2017: I am helping out at BMVC2017 as a volunteer.
July 2017The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation is now live!
July 2017: I made a poster presentation at CVPR 2017! 
March 2017: I have one paper accepted to CVPR 2017!
March 2017: I am a co-organizer of the HANDS17 workshop at ICCV 2017. More details coming soon! Check previous edition here
October 2016: I made a poster presentation at ECCV 2016!
July 2016: I have one paper accepted to ECCV 2016!
July 2015: I am attending the International Computer Vision Summer School (ICVSS 2015) held in Sicily, Italy.


About Me

Shanxin Yuan is a Senior Research Scientist in Computer Vision for Huawei Technologies Research and Development, UK. He received the PhD degree from Imperial College London, the MSc degree from the University of Chinese Academy of Sciences, and the BSc degree from China Agricultural University. His research interests are machine learning and computer vision, he has been working on hand pose estimation and low-level vision. He was co-organizer of NTIRE 2020 workshop along with CVPR 2020 and AIM 2019 workshop along with ICCV 2019. He was the lead organizer of the HIM2017 challenge along with the HANDS17 workshop along with ICCV 2017. He regularly reviews for major computer vision conferences (CVPR, ICCV, ECCV, and NeurIPS) and related journals (TPAMI, IJCV and TIP).


Selected Publications


Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs, 
L Liu, S Yuan, J Liu, L Bao, G Slabaugh, Q Tian
NeurIPS, 2020.

Wavelet-Based Dual-Branch Network for Image Demoireing,
L Liu, J Liu, S Yuan, G Slabaugh, A Leonardis, W Zhou, Q Tian
ECCV, 2020.
Download: [PDF]

NTIRE 2020 Challenge on Image Demoireing: Methods and Results
S Yuan, R Timofte, A Leonardis, G Slabaugh, others
CVPRW, 2020.
Download: [PDF]

Video Super-resolution with Temporal Group Attention
T Isobe, S Li, X Jia, S Yuan, G Slabaugh, C Xu, YL Li, S Wang, Q Tian
CVPR, 2020.
Download: [PDF]

Image Demoireing with Learnable Bandpass Filters
B Zheng, S Yuan, G Slabaugh, A Leonardis
CVPR, 2020.
Download: [PDF]

Aim 2019 challenge on image demoireing: Methods and results
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Aleš 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, AN Rajagopalan
ICCVW, 2019.
Download: [PDF]

Aim 2019 challenge on image demoireing: Dataset and study
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Aleš Leonardis
ICCVW, 2019.
Download: [PDF]

3D Hand Pose Estimation from RGB Using Privileged Learning with Depth Data
Shanxin Yuan, Bjorn Stenger, Tae-Kyun Kim
ICCVW, 2019
Download: [PDF]

Opening the Black Box: Hierarchical Sampling Optimization for Estimating Human Hand Pose,
D. Tang, Q. Ye, S. Yuan, J. Taylor, P. Kohli, C. Keskin, T-K. Kim, J. Shotton
IEEE Trans on PAMI (TPAMI), 2018.
Download: [PDF]

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals,
S. Yuan, G. Garcia-Hernando, B. Stenger, G. Moon, J. Y. Chang, K. M. Lee, P. Molchanov, J. Kautz, S. Honari, L. Ge, J. Yuan, X. Chen, G. Wang, F. Yang, K. Akiyama, Y. Wu, Q. Wan, M. Madadi, S. Escalera, S. Li, D. Lee, I. Oikonomidis, A. Argyros, and T-K. Kim
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018 (Spotlight).
Download: [PDF] [arXiv] [poster] [slides] [video]

First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations,
G. Garcia-Hernando, S. Yuan, S. Baek, T-K. Kim
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018.
Download: [PDF] [arXiv][Demo video]

Markerless and Marker-based Solution to Estimate Kinematics
L. Gionfrida, S. Yuan, T-K. Kim, A. Williamon, A.A Bharath, A.E. Kedgle
BioMedEng, London, UK, 2018.

The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation,
S. Yuan, Q. Ye, G. Garcia-Hernando, T-K. Kim
arXiv, 2017
Download: [arXiv]

BigHand2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis,
S. Yuan*, Q. Ye*, B. Stenger, S. Jain, T-K. Kim
Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017.(*indicates equal contribution) 
Download: [PDF][arXiv ][Dataset]

Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation,
Q. Ye*,  S. Yuan*, T-K. Kim
Proc. of European Conf. on Computer Vision (ECCV), Amsterdam, Netherlands, 2016.(*indicates equal contribution) 
Download: [PDF][arXiv][Demo video]

Robust Multi-patch Tracking,
S. Yuan, J. Miao, L. Qing
Proc. of IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sep. 15-20, 2013 
Download: [PDF]


Professional Activities

Co-organizer
1. Co-organizer of the HANDS17 workshop at ICCV 2017
2. Leading organizer of The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation along with the HANDS17 workshop.

Conference/Journal reviewer
1. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017, 2018) 
2. IEEE International Conference on Computer Vision (ICCV 2017)
3. IEEE Transactions on Image Processing (TIP 2018)
4. Elsevier Journal of Image and Vision Computing (IVC)
5. International Journal of Computer Vision (IJCV)
6. Elsevier Journal of Computer Vision and Image Understanding (CVIU)


Awards and Honors

1. Department Fees Scholarship, Department of Electrical and Electronic Engineering, Imperial College London. Oct.2014.
2. Certificate of Outstanding Contribution in Reviewing for Elsevier Journal of Image and Vision Computing (IVC).
3. Excellent Student of the Institute of Computing Technology(ICT), Chinese Academy of Sciences(CAS). Jun.2014.
4. Director Scholarship of the Institute of Computing Technology, Chinese Academy of Sciences. Jan.2014.
5. Outstanding Graduate of China Agricultural University (top 5%). Jun.2011.
6. In China Agricultural University, I was Selected to read the Honors Program, which was directed by the university's president. Sep.2008-Jul.2011.