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Ignas Budvytis
Ignas Budvytis
Assistant Professor, Department of Engineering, University of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Indirect deep structured learning for 3d human body shape and pose prediction
JKV Tan, I Budvytis, R Cipolla
British Machine Vision Association, 2017
1682017
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
1292020
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
1222021
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
812013
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
752021
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
712021
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
652021
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
622022
Semi-supervised video segmentation using tree structured graphical models
I Budvytis, V Badrinarayanan, R Cipolla
CVPR 2011, 2257-2264, 2011
572011
Label propagation in complex video sequences using semi-supervised learning.
I Budvytis, V Badrinarayanan, R Cipolla
BMVC 2257, 2258-2259, 2010
462010
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
412017
Sfd2: Semantic-guided feature detection and description
F Xue, I Budvytis, R Cipolla
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
382023
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
382022
Mixture of trees probabilistic graphical model for video segmentation
V Badrinarayanan, I Budvytis, R Cipolla
International journal of computer vision 110, 14-29, 2014
372014
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
312020
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
272020
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
262021
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
262019
A cnn based approach for the point-light photometric stereo problem
F Logothetis, R Mecca, I Budvytis, R Cipolla
International Journal of Computer Vision 131 (1), 101-120, 2023
252023
Efficient large-scale localization by global instance recognition
F Xue, I Budvytis, DO Reino, R Cipolla
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
232022
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