| End-to-End Multi-Task Learning with Attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1695 | 2019 |
| iMAP: Implicit Mapping and Positioning in Real-Time E Sucar, S Liu, J Ortiz, AJ Davison International Conference on Computer Vision (ICCV), 2021 | 899 | 2021 |
| Self-Supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS), 2019 | 234 | 2019 |
| Bootstrapping Semantic Segmentation with Regional Contrast S Liu, S Zhi, E Johns, AJ Davison International Conference on Learning Representations (ICLR), 2022 | 191 | 2022 |
| vMAP: Vectorised Object Mapping for Neural Field SLAM X Kong, S Liu, M Taher, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 119 | 2023 |
| Learning a Hierarchical Latent-Variable Model of 3D Shapes S Liu, CL Giles, AG Ororbia II International Conference on 3D Vision (3DV), 2018 | 102 | 2018 |
| Auto-Lambda: Disentangling Dynamic Task Relationships S Liu, S James, AJ Davison, E Johns Transactions on Machine Learning Research (TMLR), 2022 | 100 | 2022 |
| Prismer: A Vision-Language Model with Multi-Task Experts S Liu, L Fan, E Johns, Z Yu, C Xiao, A Anandkumar Transactions on Machine Learning Research (TMLR), 2024 | 78* | 2024 |
| EscherNet: A Generative Model for Scalable View Synthesis X Kong, S Liu, X Lyu, M Taher, X Qi, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 75 | 2024 |
| MarDini: Masked Autoregressive Diffusion for Video Generation at Scale H Liu, S Liu, Z Zhou, M Xu, Y Xie, X Han, JC Pérez, D Liu, K Kahatapitiya, ... Transactions on Machine Learning Research (TMLR), 2025 | 32 | 2025 |
| Learning Flow Fields in Attention for Controllable Person Image Generation Z Zhou, S Liu, X Han, H Liu, KW Ng, T Xie, Y Cong, H Li, M Xu, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2025 | 14 | 2025 |
| Shape Adaptor: A Learnable Resizing Module S Liu, Z Lin, Y Wang, J Zhang, F Perazzi, E Johns European Conference on Computer Vision (ECCV), 2020 | 13 | 2020 |
| HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming H Qiu, S Liu, Z Zhou, Z An, W Ren, Z Liu, J Schult, S He, S Chen, Y Cong, ... arXiv preprint arXiv:2512.21338, 2025 | | 2025 |
| Scaling Zero-Shot Reference-to-Video Generation Z Zhou, S Liu, H Liu, H Qiu, Z An, W Ren, Z Liu, X Huang, KW Ng, T Xie, ... arXiv preprint arXiv:2512.06905, 2025 | | 2025 |
| Mixture of States: Routing Token-Level Dynamics for Multimodal Generation H Liu, D Liu, M Zhuge, Z Zhou, T Xie, S He, Y Yang, S Liu, Y Cong, J Guo, ... arXiv preprint arXiv:2511.12207, 2025 | | 2025 |
| Scaling Sequence-to-Sequence Generative Neural Rendering S Liu, KW Ng, W Jang, J Guo, J Han, H Liu, Y Douratsos, JC Pérez, ... arXiv preprint arXiv:2510.04236, 2025 | | 2025 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
