| End-to-End Multi-Task Learning with Attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 1082 | 2019 |
| iMAP: Implicit Mapping and Positioning in Real-Time E Sucar, S Liu, J Ortiz, AJ Davison International Conference on Computer Vision (ICCV), 2021 | 450 | 2021 |
| Self-Supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS), 2019 | 175 | 2019 |
| Bootstrapping Semantic Segmentation with Regional Contrast S Liu, S Zhi, E Johns, AJ Davison International Conference on Learning Representations (ICLR), 2022 | 119 | 2022 |
| Learning a Hierarchical Latent-Variable Model of 3D Shapes S Liu, CL Giles, AG Ororbia II International Conference on 3D Vision (3DV), 2018 | 88 | 2018 |
| Auto-Lambda: Disentangling Dynamic Task Relationships S Liu, S James, AJ Davison, E Johns Transactions on Machine Learning Research (TMLR), 2022 | 55 | 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 | 50 | 2023 |
| 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 | 39* | 2024 |
| 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 | 10 | 2020 |
| 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 | 8 | 2024 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College London在 doc.ic.ac.uk 的电子邮件经过验证
