Dr Yuyao Yan is currently an Assistant Professor at Xi’an Jiaotong-Liverpool University Entrepreneur College (Taicang). He received his Ph.D. degree, B.Sc. degree, and M.Sc. degree from the University of Liverpool, Liverpool, U.K. His research interests lie in the field of 3D computer vision and pattern recognition.
Qualifications
Ph.D. in Electrical Engineering and Electronics from University of Liverpool
Experience
Assistant Professor, Xi’an Jiaotong-Liverpool University, Suzhou, China, 2023 - Present
Research Manager, Zero Spring Technology Co. Ltd, Suzhou, China, 2021 - 2023
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image Generation, Z. Tan, X. Yang, Z. Ye, Q. Wang, Y. Yan, A. Nguye, K. Huang, Pattern Recognition, 2023
Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation, Z. Su, K. Yao, X. Yang, Q. Wang, Y. Yan, J. Sun, K. Huang, IEEE journal of biomedical and health informatics, 2023
Generalised Image Outpainting with U-Transformer, P. Gao, X. Yang, R, Zhang, J, Y. Goulermas, Y. Geng, Y. Yan, Neural Networks, 2023.
Moving shadow detection via binocular vision and color clustering, L. Lu, M. Xu, J. S. Smith, Y. Yan, IET Computer Vision, 2020.
Multicamera Pedestrian Detection Using Logic Minimization, Y. Yan, M. Xu, J. S. Smith, M. Shen, J. Xi, Pattern Recognition. 2020
Generalised vertical projection histograms using multi plane homology, Y. Yan, M. Xu, J. S. Smith, Electronics Letters, 2019
Proceedings
Divide and Conquer: 3D Point Cloud Instance Segmentation with Point-Wise Binarization, W. Zhao, Y. Yan, C. Yang, J. Ye, X. Yang, K. Huang, IEEE Int. Conf. on Computer Vision, 2023
3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization, R. Qiu, M. Xu, Y. Yan, J. S. Smith, X Yang, European Conference on Computer Vision, 2022
VSB DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model, X. Yang, Y. Yan, K. Huang, R. Zhang, IEEE Int. Conf. on Data Mining, 2019
Multiview pedestrian localisation via a prime candidate chart based on occupancy likelihoods, Y. Yan, M. Xu, and J. S. Smith, IEEE Int. Conf. on Image Processing, 2017
Chapters, cases, readings and supplements
A Methodology Review on Multi-view Pedestrian Detection, R. Qiu, M. Xu, Y. Yan, J. S. Smith, Recent Advancements in Multi-View Data Analytics, 2022
