| Indirect deep structured learning for 3d human body shape and pose prediction JKV Tan, I Budvytis, R Cipolla British Machine Vision Association, 2017 | 117 | 2017 |
| Semi-supervised video segmentation using tree structured graphical models V Badrinarayanan, I Budvytis, R Cipolla IEEE transactions on pattern analysis and machine intelligence 35 (11), 2751 …, 2013 | 67 | 2013 |
| Semi-supervised video segmentation using tree structured graphical models I Budvytis, V Badrinarayanan, R Cipolla CVPR 2011, 2257-2264, 2011 | 52 | 2011 |
| Label propagation in complex video sequences using semi-supervised learning. I Budvytis, V Badrinarayanan, R Cipolla BMVC 2257, 2258-2259, 2010 | 40 | 2010 |
| Synthetic training for accurate 3d human pose and shape estimation in the wild A Sengupta, I Budvytis, R Cipolla arXiv preprint arXiv:2009.10013, 2020 | 34 | 2020 |
| Mixture of trees probabilistic graphical model for video segmentation V Badrinarayanan, I Budvytis, R Cipolla International journal of computer vision 110 (1), 14-29, 2014 | 34 | 2014 |
| 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 | 24 | 2017 |
| Triggering data capture based on pointing direction JW Scott, I Budvytis, SE Hodges US Patent 7,720,364, 2010 | 20 | 2010 |
| MoT-Mixture of Trees Probabilistic Graphical Model for Video Segmentation. I Budvytis, V Badrinarayanan, R Cipolla BMVC 1 (2), 7, 2012 | 16 | 2012 |
| Px-net: Simple and efficient pixel-wise training of photometric stereo networks F Logothetis, I Budvytis, R Mecca, R Cipolla Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| A CNN based approach for the near-field photometric stereo problem F Logothetis, I Budvytis, R Mecca, R Cipolla arXiv preprint arXiv:2009.05792, 2020 | 14 | 2020 |
| Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression I Budvytis, M Teichmann, T Vojir, R Cipolla arXiv preprint arXiv:1909.10239, 2019 | 14 | 2019 |
| Probabilistic 3D human shape and pose estimation from multiple unconstrained images in the wild A Sengupta, I Budvytis, R Cipolla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11 | 2021 |
| Deep multi-view stereo for dense 3D reconstruction from monocular endoscopic video G Bae, I Budvytis, CK Yeung, R Cipolla International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 8 | 2020 |
| Making a shallow network deep: Conversion of a boosting classifier into a decision tree by boolean optimisation TK Kim, I Budvytis, R Cipolla International journal of computer vision 100 (2), 203-215, 2012 | 7 | 2012 |
| Hierarchical kinematic probability distributions for 3D human shape and pose estimation from images in the wild A Sengupta, I Budvytis, R Cipolla Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| Semantic localisation via globally unique instance segmentation I Budvytis, P Sauer, R Cipolla | 5 | 2019 |
| Rotation equivariant orientation estimation for omnidirectional localization C Zhang, I Budvytis, S Liwicki, R Cipolla Proceedings of the Asian Conference on Computer Vision, 2020 | 4 | 2020 |
| Tangible Interaction in a Mobile Context AF Blackwell, G Bailey, I Budvytis, V Chen, L Church, L Dubuc, D Edge, ... CHIâ A Z07 Workshop on Tangible User Int. in Context and Theory, 2007 | 4 | 2007 |
| Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation G Bae, I Budvytis, R Cipolla Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 3 | 2021 |
Roberto CipollaProfessor of Information Engineering, University of CambridgeVerified email at eng.cam.ac.uk
