| Indirect deep structured learning for 3d human body shape and pose prediction JKV Tan, I Budvytis, R Cipolla British Machine Vision Association, 2017 | 129 | 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 | 71 | 2013 |
| 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 | 58 | 2020 |
| Semi-supervised video segmentation using tree structured graphical models I Budvytis, V Badrinarayanan, R Cipolla CVPR 2011, 2257-2264, 2011 | 53 | 2011 |
| Label propagation in complex video sequences using semi-supervised learning. I Budvytis, V Badrinarayanan, R Cipolla BMVC 2257, 2258-2259, 2010 | 43 | 2010 |
| Mixture of trees probabilistic graphical model for video segmentation V Badrinarayanan, I Budvytis, R Cipolla International journal of computer vision 110, 14-29, 2014 | 35 | 2014 |
| 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 | 32 | 2021 |
| 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 | 31 | 2021 |
| 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 | 27 | 2017 |
| 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 | 26 | 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 | 24 | 2020 |
| 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 | 21 | 2021 |
| 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 | 21 | 2019 |
| 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 |
| Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry G Bae, I Budvytis, R Cipolla Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
| Deep multi-view stereo for dense 3D reconstruction from monocular endoscopic video G Bae, I Budvytis, CK Yeung, R Cipolla Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 11 | 2020 |
| Luces: A dataset for near-field point light source photometric stereo R Mecca, F Logothetis, I Budvytis, R Cipolla arXiv preprint arXiv:2104.13135, 2021 | 10 | 2021 |
| IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty G Bae, I Budvytis, R Cipolla arXiv preprint arXiv:2210.03676, 2022 | 7 | 2022 |
| 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), 2012 | 7 | 2012 |
Roberto CipollaProfessor of Information Engineering, University of CambridgeVerified email at eng.cam.ac.uk
