Follow
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
1592017
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
1092020
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
842021
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
772013
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
582021
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
572021
Semi-supervised video segmentation using tree structured graphical models
I Budvytis, V Badrinarayanan, R Cipolla
CVPR 2011, 2257-2264, 2011
552011
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
532021
Label propagation in complex video sequences using semi-supervised learning.
I Budvytis, V Badrinarayanan, R Cipolla
BMVC 2257, 2258-2259, 2010
442010
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
392022
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
392017
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
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
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
242022
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
232020
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
232019
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
212023
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
202021
Triggering data capture based on pointing direction
JW Scott, I Budvytis, SE Hodges
US Patent 7,720,364, 2010
202010
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
182023
The system can't perform the operation now. Try again later.
Articles 1–20