| Unsupervised learning of object landmarks by factorized spatial embeddings J Thewlis, H Bilen, A Vedaldi ICCV 2017, 2017 | 83 | 2017 |
| Unsupervised learning of object frames by dense equivariant image labelling J Thewlis, H Bilen, A Vedaldi NeurIPS 2017, 2017 | 61 | 2017 |
| Fully-trainable deep matching J Thewlis, S Zheng, PHS Torr, A Vedaldi BMVC 2016, 2016 | 35 | 2016 |
| Cross Pixel Optical Flow Similarity for Self-Supervised Learning A Mahendran, J Thewlis, A Vedaldi ACCV 2018, 2018 | 27 | 2018 |
| Unsupervised learning of landmarks by descriptor vector exchange J Thewlis, S Albanie, H Bilen, A Vedaldi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 15 | 2019 |
| Slim densepose: Thrifty learning from sparse annotations and motion cues N Neverova, J Thewlis, RA Guler, I Kokkinos, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 11 | 2019 |
| Modelling and unsupervised learning of symmetric deformable object categories J Thewlis, H Bilen, A Vedaldi NeurIPS 2018, 2018 | 5 | 2018 |
| Self-Supervised Segmentation by Grouping Optical-Flow A Mahendran, J Thewlis, A Vedaldi POCV 2018 Workshop on Action, Perception and Organization, 0 | 3* | |
| Objects from motion J Thewlis University of Oxford, 2018 | | 2018 |
| Supplementary Material: Unsupervised learning of landmarks by Descriptor Vector Exchange J Thewlis, S Albanie, H Bilen, A Vedaldi | | |
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
