Dr Shanxin Yuan
Lecturer in Digital Environment
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
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
2024
Non-local degradation modeling for spatially adaptive single image super-resolutionZhang Q, Zheng B, Li Z, Liu Y, Zhu Z, Slabaugh G and Yuan S
Neural Networks, Elsevier vol. 175, 106293-106293.
10-04-2024
GoLDFormer: A global–local deformable window transformer for efficient image restorationChen Q, Zheng B, Yan C, Zhu Z, Wang T, Slabaugh G and Yuan S
Journal of Visual Communication and Image Representation, Elsevier vol. 100, 104117-104117.
01-04-2024
Graph neural networks in vision-language image understanding: a surveySenior H, Slabaugh G, Yuan S and Rossi L
The Visual Computer, Springer Science and Business Media Llc
29-03-2024
Video Demoiring With Deep Temporal Color Embedding and Video-Image Invertible ConsistencyLiu L, An J, Yuan S, Zhou W, Li H, Wang Y and Tian Q
Ieee Transactions On Multimedia, Institute of Electrical and Electronics Engineers (Ieee) vol. 26, 7386-7397.
26-02-2024
Wavelet-based network for high dynamic range imagingDai T, Li W, Cao X, Liu J, Jia X, Leonardis A, Yan Y and Yuan S
Computer Vision and Image Understanding, Elsevier vol. 238
01-01-2024
2023
Depth-guided deep filtering network for efficient single image bokeh renderingChen Q, Zheng B, Zhou X, Huang A, Sun Y, Chen C, Yan C and Yuan S
Neural Computing and Applications, Springer vol. 35 (28), 20869-20887.
26-07-2023
2022
Learning Frequency Domain Priors for Image DemoireingZheng B, Yuan S, Yan C, Tian X, Zhang J, Sun Y, Liu L, Leonardis A and Slabaugh G
Ieee Transactions On Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (Ieee) vol. 44 (11), 7705-7717.
04-10-2022
Constrained Predictive Filters for Single Image Bokeh RenderingZheng B, Chen Q, Yuan S, Zhou X, Zhang H, Zhang J, Yan C and Slabaugh G
Ieee Transactions On Computational Imaging, Institute of Electrical and Electronics Engineers (Ieee) vol. 8, 346-357.
03-05-2022
2021
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality EnhancementZhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L and Slabaugh G
Ieee Transactions On Circuits and Systems For Video Technology, Institute of Electrical and Electronics Engineers (Ieee) vol. 32 (7), 4138-4149.
27-10-2021
2018
Opening the Black Box: Hierarchical Sampling Optimization for Hand Pose EstimationTang D, Ye Q, Yuan S, Taylor J, Kohli P, Keskin C, Kim T-K and Shotton J
Ieee Transactions On Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (Ieee) vol. 41 (9), 2161-2175.
15-06-2018