Dr Shanxin Yuan

Shanxin Yuan

Lecturer in Digital Environment

School of Electronic Engineering and Computer Science
Queen Mary University of London
07512 334589
shanxinyuan.github.io/

Research

3D modeling, Body pose estimation, Body motion analysis, Machine learning, Computer vision, multi-modal learning

Interests

I am an expert in computer vision and machine learning, with a strong interest in applying my skills to research related to the human body across various disciplines. My work has focused on human behavior analysis, including 3D body, hand, and face pose estimation, motion estimation and retargeting, as well as surface reconstruction, rendering, and editing. My expertise extends to segmentation, detection, clustering, prediction, and 3D reconstruction of cells and organs. Additionally, I have experience in low-level vision tasks such as image and video denoising, super-resolution, and compression, all of which are applicable to biomedical image analysis.

Publications

solid heart iconPublications of specific relevance to Predictive in vitro Models

2024

Zhang Q, Zheng B, Li Z, Liu Y, Zhu Z, Slabaugh G and Yuan S (2024). Non-local degradation modeling for spatially adaptive single image super-resolution. Elsevier  Neural Networks  vol. 175, 106293-106293.  
Chen Q, Zheng B, Yan C, Zhu Z, Wang T, Slabaugh G and Yuan S (2024). GoLDFormer: A global–local deformable window transformer for efficient image restoration. Elsevier  Journal of Visual Communication and Image Representation  vol. 100, 104117-104117.  
Senior H, Slabaugh G, Yuan S and Rossi L (2024). Graph neural networks in vision-language image understanding: a survey. Springer Science and Business Media LLC  The Visual Computer   
Liu L, An J, Yuan S, Zhou W, Li H, Wang Y and Tian Q (2024). Video Demoiring With Deep Temporal Color Embedding and Video-Image Invertible Consistency. Institute of Electrical and Electronics Engineers (IEEE)  IEEE Transactions on Multimedia  vol. 26, 7386-7397.  
Dai T, Li W, Cao X, Liu J, Jia X, Leonardis A, Yan Y and Yuan S (2024). Wavelet-based network for high dynamic range imaging. Elsevier  Computer Vision and Image Understanding  vol. 238,  

2023

Chen Q, Zheng B, Zhou X, Huang A, Sun Y, Chen C, Yan C and Yuan S (2023). Depth-guided deep filtering network for efficient single image bokeh rendering. Springer  Neural Computing and Applications  vol. 35, (28) 20869-20887.  

2022

Zheng B, Yuan S, Yan C, Tian X, Zhang J, Sun Y, Liu L, Leonardis A and Slabaugh G (2022). Learning Frequency Domain Priors for Image Demoireing. Institute of Electrical and Electronics Engineers (IEEE)  IEEE Transactions on Pattern Analysis and Machine Intelligence  vol. 44, (11) 7705-7717.  
Zheng B, Chen Q, Yuan S, Zhou X, Zhang H, Zhang J, Yan C and Slabaugh G (2022). Constrained Predictive Filters for Single Image Bokeh Rendering. Institute of Electrical and Electronics Engineers (IEEE)  IEEE Transactions on Computational Imaging  vol. 8, 346-357.  

2021

Zhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L and Slabaugh G (2021). CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement. Institute of Electrical and Electronics Engineers (IEEE)  IEEE Transactions on Circuits and Systems for Video Technology  vol. 32, (7) 4138-4149.  

2018

Tang D, Ye Q, Yuan S, Taylor J, Kohli P, Keskin C, Kim T-K and Shotton J (2018). Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose Estimation. Institute of Electrical and Electronics Engineers (IEEE)  IEEE Transactions on Pattern Analysis and Machine Intelligence  vol. 41, (9) 2161-2175.