Senior Lecturer

In 2023, Dr Yanran Li was a Machine Learning Lead at the Polysurance Company to build up road understanding models. In 2022, she was a postdoctoral in the Alan Turing Institution of University of Edinburgh. She was selected to be the reviewer for CVPR, ECCV, ACMM, ICCV and AAAI.

Yanran won the Automation Fellowship from the South West Creative Technology Network (SWCTN) and was honoured as a New Talent candidate. Now her research interest includes graph neural networks, videos prediction, 3D detection, human motion understanding, human interaction understanding and spatial-temporal understanding.

Qualifications

PhD in Human Motion, from The National Centre for Computer Animation (NCCA), at Bournemouth University, 2021.

Teaching Areas

• Computer Science
• Computer Animation
• Machine Learning
• Computer Vision

Research Interests

• Graph neural networks
• Diffusion Models
• AIGC
• Videos prediction
• 3D detection
• Human motion understanding
• Human interaction understanding and spatial-temporal understanding

Membership

• A member of WiML

Publications

• Peeking into occluded joints: A novel framework for crowd pose estimation. L Qiu, X Zhang, Y Li, G Li, X Wu, Z Xiong, X Han, S Cui Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIX 16
• Efficient convolutional hierarchical autoencoder for human motion prediction. Y Li, Z Wang, X Yang, M Wang, SI Poiana, E Chaudhry, J Zhang. The Visual Computer 35, 1143-1156
• SharpContour: a contour-based boundary refinement approach for efficient and accurate instance segmentation. C Zhu, X Zhang, Y Li, L Qiu, K Han, X Han. Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition 4392-4401
• MIMO is all you need: A strong multi-in-multi-out baseline for video prediction. S Ning, M Lan, Y Li, C Chen, Q Chen, X Chen, X Han, S Cui. Proceedings of the AAAI conference on artificial intelligence 37 (2), 1975-1983
• Sketch‐based modeling with a differentiable renderer. N Xiang, R Wang, T Jiang, L Wang, Y Li, X Yang, J Zhang. Computer Animation and Virtual Worlds 31 (4-5), e1939
• Shifting perspective to see difference: A novel multi-view method for skeleton based action recognition.R Hou, Y Li, N Zhang, Y Zhou, X Yang, Z Wang. Proceedings of the 30th ACM International Conference on Multimedia, 4987-4995
• Fine-grained color sketch-based image retrieval. Y Xia, S Wang, Y Li, L You, X Yang, JJ Zhang. Advances in Computer Graphics: 36th Computer Graphics International Conference, CGI 2019, Calgary, AB, Canada, June 17–20, 2019, Proceedings 36
• Single-image mesh reconstruction and pose estimation via generative normal map. N Xiang, L Wang, T Jiang, Y Li, X Yang, J Zhang. Proceedings of the 32nd International Conference on Computer Animation and Social Agents.
• Densely connected GCN model for motion prediction. Y Li, L Qiu, L Wang, F Liu, Z Wang, S Iulian Poiana, X Yang, J Zhang. Computer Animation and Virtual Worlds 31 (4-5), e1958
• KeyFrame extraction for human motion capture data via multiple binomial fitting. C Xu, W Yu, Y Li, X Lu, M Wang, X Yang. Computer Animation and Virtual Worlds 32 (1), e1976
• Single Color Sketch-Based Image Retrieval in HSV Color Space. Y Xia, S Wang, Y Li, L You, X Yang, JJ Zhang. Transactions on Computational Science XXXVII: Special Issue on Computer Graphics 77-90
• From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting. M Lan, S Ning, Y Li, Q Chen, X Chen, X Han, S Cu. iarXiv preprint arXiv:2107.10068
• Human motion prediction.Y Li. Bournemouth University.