Ignas Budvytis

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 53

Top Topics

Reflectance Properties

Pose Estimation

Photometric Stereo

Top Venues

Publications

Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo. CoRR (2024)
Fei Xue, Ignas Budvytis, Roberto Cipolla
PRAM: Place Recognition Anywhere Model for Efficient Visual Localization. CoRR (2024)
Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem. WACV (2024)
Sahil J. Sindhi, Ignas Budvytis
Task Agnostic Architecture for Algorithm Induction via Implicit Composition. CoRR (2024)
Chao Zhang, Mohan Li, Ignas Budvytis, Stephan Liwicki
DiaLoc: An Iterative Approach to Embodied Dialog Localization. CoRR (2024)
Fei Xue, Ignas Budvytis, Daniel Olmeda Reino, Roberto Cipolla
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field. CoRR (2024)
Fei Xue, Ignas Budvytis, Roberto Cipolla
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling. CVPR (2023)
Fotios Logothetis, Roberto Mecca, Ignas Budvytis, Roberto Cipolla
A CNN Based Approach for the Point-Light Photometric Stereo Problem. Int. J. Comput. Vis. 131 (1) (2023)
Fei Xue, Ignas Budvytis, Roberto Cipolla
SFD2: Semantic-guided Feature Detection and Description. CoRR (2023)
Fei Xue, Ignas Budvytis, Roberto Cipolla
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling. CoRR (2023)
Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem. CoRR (2023)
Patrick Hajali, Ignas Budvytis
Function-constrained Program Synthesis. CoRR (2023)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation. CVPR (2023)
Florian Langer, Ignas Budvytis, Roberto Cipolla
Sparse Multi-Object Render-and-Compare. CoRR (2023)
Florian Langer, Ignas Budvytis, Roberto Cipolla
Sparse Multi-Object Render-and-Compare. BMVC (2023)
Fei Xue, Ignas Budvytis, Roberto Cipolla
SFD2: Semantic-Guided Feature Detection and Description. CVPR (2023)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation. CoRR (2023)
Florian Langer, Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB Image. BMVC (2022)
Fei Xue, Ignas Budvytis, Daniel Olmeda Reino, Roberto Cipolla
Efficient Large-scale Localization by Global Instance Recognition. CVPR (2022)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty. CoRR (2022)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. CVPR (2022)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty. BMVC (2022)
Fotios Logothetis, Roberto Mecca, Ignas Budvytis, Roberto Cipolla
A CNN Based Approach for the Point-Light Photometric Stereo Problem. CoRR (2022)
Florian Langer, Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image. CoRR (2022)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. CoRR (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild. CVPR (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model. BMVC (2021)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation. ICCV (2021)
Gwangbin Bae, Ignas Budvytis, Roberto Cipolla
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation. CoRR (2021)
Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo. BMVC (2021)
Roberto Mecca, Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo. CoRR (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild. ICCV (2021)
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks. ICCV (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild. CoRR (2021)
Chao Zhang, Ignas Budvytis, Stephan Liwicki, Roberto Cipolla
Lifted Semantic Graph Embedding for Omnidirectional Place Recognition. 3DV (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model. CoRR (2021)
Florian Langer, Ignas Budvytis, Roberto Cipolla
Leveraging Geometry for Shape Estimation from a Single RGB Image. BMVC (2021)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild. CoRR (2021)
Florian Langer, Ignas Budvytis, Roberto Cipolla
Leveraging Geometry for Shape Estimation from a Single RGB Image. CoRR (2021)
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla
A CNN Based Approach for the Near-Field Photometric Stereo Problem. BMVC (2020)
Akash Sengupta, Roberto Cipolla, Ignas Budvytis
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild. BMVC (2020)
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla
PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks. CoRR (2020)
Tomas Vojir, Ignas Budvytis, Roberto Cipolla
Efficient Large-Scale Semantic Visual Localization in 2D Maps. ACCV (3) (2020)
Akash Sengupta, Ignas Budvytis, Roberto Cipolla
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild. CoRR (2020)
Gwangbin Bae, Ignas Budvytis, Chung-Kwong Yeung, Roberto Cipolla
Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video. MICCAI (3) (2020)
Chao Zhang, Ignas Budvytis, Stephan Liwicki, Roberto Cipolla
Rotation Equivariant Orientation Estimation for Omnidirectional Localization. ACCV (4) (2020)
Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla
A CNN Based Approach for the Near-Field Photometric Stereo Problem. CoRR (2020)
Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla
Large Scale Joint Semantic Re-Localisation and Scene Understanding via Globally Unique Instance Coordinate Regression. CoRR (2019)
Ignas Budvytis, Marvin Teichmann, Tomas Vojir, Roberto Cipolla
Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression. BMVC (2019)
Ignas Budvytis, Patrick Sauer, Roberto Cipolla
Semantic Localisation via Globally Unique Instance Segmentation. BMVC (2018)
Vince Tan, Ignas Budvytis, Roberto Cipolla
Indirect deep structured learning for 3D human body shape and pose prediction. BMVC (2017)
James Charles, Ignas Budvytis, Roberto Cipolla
Real-time Factored ConvNets: Extracting the X Factor in Human Parsing. BMVC (2017)
Ignas Budvytis, Patrick Sauer, Thomas Roddick, Kesar Breen, Roberto Cipolla
Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios. ICCV Workshops (2017)
Vijay Badrinarayanan, Ignas Budvytis, Roberto Cipolla
Mixture of Trees Probabilistic Graphical Model for Video Segmentation. Int. J. Comput. Vis. 110 (1) (2014)
Vijay Badrinarayanan, Ignas Budvytis, Roberto Cipolla
Semi-Supervised Video Segmentation Using Tree Structured Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Tae-Kyun Kim, Ignas Budvytis, Roberto Cipolla
Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. Int. J. Comput. Vis. 100 (2) (2012)
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. BMVC (2012)
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
Semi-supervised video segmentation using tree structured graphical models. CVPR (2011)
Tae-Kyun Kim, Ignas Budvytis, Roberto Cipolla
Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier. BMVC (2010)
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipolla
Label propagation in complex video sequences using semi-supervised learning. BMVC (2010)