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Ignas Budvytis
Ignas Budvytis
Assistant Professor, Department of Engineering, University of Cambridge
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1282020
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
1172021
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
732021
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
602022
Semi-supervised video segmentation using tree structured graphical models
I Budvytis, V Badrinarayanan, R Cipolla
CVPR 2011, 2257-2264, 2011
562011
Label propagation in complex video sequences using semi-supervised learning.
I Budvytis, V Badrinarayanan, R Cipolla
BMVC 2257, 2258-2259, 2010
442010
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
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
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
362022
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
312023
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
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
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
252020
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
242019
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
232021
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
222022
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