| Orthographic feature transform for monocular 3d object detection T Roddick, A Kendall, R Cipolla arXiv preprint arXiv:1811.08188, 2018 | 421 | 2018 |
| Predicting semantic map representations from images using pyramid occupancy networks T Roddick, R Cipolla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 271 | 2020 |
| Creatures great and smal: Recovering the shape and motion of animals from video B Biggs, T Roddick, A Fitzgibbon, R Cipolla Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 110 | 2019 |
| Large scale labelled video data augmentation for semantic segmentation in driving scenarios I Budvytis, P Sauer, T Roddick, K Breen, R Cipolla Proceedings of the IEEE international conference on computer vision …, 2017 | 41 | 2017 |
| Predicting semantic map representations from images using pyramid occupancy networks. In 2020 IEEE T Roddick, R Cipolla CVF Conference on Computer Vision and Pattern Recognition, CVPR, 13-19, 2020 | 19 | 2020 |
| Orthographic feature transform for monocular 3d object detection. arXiv 2018 T Roddick, A Kendall, R Cipolla arXiv preprint arXiv:1811.08188, 0 | 7 | |
| On the road to large-scale 3d monocular scene reconstruction using deep implicit functions T Roddick, B Biggs, DO Reino, R Cipolla Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| Learning Birds-Eye View Representations for Autonomous Driving T Roddick | 4 | 2021 |
Roberto CipollaProfessor of Information Engineering, University of CambridgeVerified email at eng.cam.ac.uk
