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Ignas Budvytis
Ignas Budvytis
University Lecturer (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
1422017
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
742020
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
742013
Semi-supervised video segmentation using tree structured graphical models
I Budvytis, V Badrinarayanan, R Cipolla
CVPR 2011, 2257-2264, 2011
542011
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
522021
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
442021
Label propagation in complex video sequences using semi-supervised learning.
I Budvytis, V Badrinarayanan, R Cipolla
BMVC 2257, 2258-2259, 2010
442010
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
402021
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
392021
Mixture of trees probabilistic graphical model for video segmentation
V Badrinarayanan, I Budvytis, R Cipolla
International journal of computer vision 110, 14-29, 2014
362014
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
322022
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
322017
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
272020
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
212019
Triggering data capture based on pointing direction
JW Scott, I Budvytis, SE Hodges
US Patent 7,720,364, 2010
202010
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
172020
MoT-Mixture of Trees Probabilistic Graphical Model for Video Segmentation.
I Budvytis, V Badrinarayanan, R Cipolla
BMVC 1 (2), 7, 2012
162012
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
152021
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
132022
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
102023
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