Label propagation in complex video sequences using semi-supervised learning. - Ignas Budvytis; Vijay Badrinarayanan; Roberto Cipolla (BMVC, 2010)

Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier. - Tae-Kyun Kim 001; Ignas Budvytis; Roberto Cipolla (BMVC, 2010)

MoT - Mixture of Trees Probabilistic Graphical Model for Video Segmentation. - Ignas Budvytis; Vijay Badrinarayanan; Roberto Cipolla (BMVC, 2012)

Making a Shallow Network Deep: Conversion of a Boosting Classifier into a Decision Tree by Boolean Optimisation. - Tae-Kyun Kim 001; Ignas Budvytis; Roberto Cipolla (Int. J. Comput. Vis., 2012)

Semi-Supervised Video Segmentation Using Tree Structured Graphical Models. - Vijay Badrinarayanan; Ignas Budvytis; Roberto Cipolla (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Mixture of Trees Probabilistic Graphical Model for Video Segmentation. - Vijay Badrinarayanan; Ignas Budvytis; Roberto Cipolla (Int. J. Comput. Vis., 2014)

Real-time Factored ConvNets: Extracting the X Factor in Human Parsing. - James Charles; Ignas Budvytis; Roberto Cipolla (BMVC, 2017)

Indirect deep structured learning for 3D human body shape and pose prediction. - Vince Tan; Ignas Budvytis; Roberto Cipolla (BMVC, 2017)

Large Scale Labelled Video Data Augmentation for Semantic Segmentation in Driving Scenarios. - Ignas Budvytis; Patrick Sauer; Thomas Roddick; Kesar Breen; Roberto Cipolla (ICCV Workshops, 2017)

Semantic Localisation via Globally Unique Instance Segmentation. - Ignas Budvytis; Patrick Sauer; Roberto Cipolla (BMVC, 2018)

Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression. - Ignas Budvytis; Marvin Teichmann; Tomas Vojir; Roberto Cipolla (BMVC, 2019)

Efficient Large-Scale Semantic Visual Localization in 2D Maps. - Tomas Vojir; Ignas Budvytis; Roberto Cipolla (ACCV (3), 2020)

Rotation Equivariant Orientation Estimation for Omnidirectional Localization. - Chao Zhang 023; Ignas Budvytis; Stephan Liwicki; Roberto Cipolla (ACCV (4), 2020)

A CNN Based Approach for the Near-Field Photometric Stereo Problem. - Fotios Logothetis; Ignas Budvytis; Roberto Mecca; Roberto Cipolla (BMVC, 2020)

Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild. - Akash Sengupta; Roberto Cipolla; Ignas Budvytis (BMVC, 2020)

Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video. - Gwangbin Bae; Ignas Budvytis; Chung-Kwong Yeung; Roberto Cipolla (MICCAI (3), 2020)

PX-NET: Simple, Efficient Pixel-Wise Training of Photometric Stereo Networks. - Fotios Logothetis; Ignas Budvytis; Roberto Mecca; Roberto Cipolla (CoRR, 2020)

Lifted Semantic Graph Embedding for Omnidirectional Place Recognition. - Chao Zhang 023; Ignas Budvytis; Stephan Liwicki; Roberto Cipolla (3DV, 2021)

Leveraging Geometry for Shape Estimation from a Single RGB Image. - Florian Langer; Ignas Budvytis; Roberto Cipolla (BMVC, 2021)

LUCES: A Dataset for Near-Field Point Light Source Photometric Stereo. - Roberto Mecca; Fotios Logothetis; Ignas Budvytis; Roberto Cipolla (BMVC, 2021)

Probabilistic Estimation of 3D Human Shape and Pose with a Semantic Local Parametric Model. - Akash Sengupta; Ignas Budvytis; Roberto Cipolla (BMVC, 2021)

Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild. - Akash Sengupta; Ignas Budvytis; Roberto Cipolla (CVPR, 2021)

Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation. - Gwangbin Bae; Ignas Budvytis; Roberto Cipolla (ICCV, 2021)

PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks. - Fotios Logothetis; Ignas Budvytis; Roberto Mecca; Roberto Cipolla (ICCV, 2021)

Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild. - Akash Sengupta; Ignas Budvytis; Roberto Cipolla (ICCV, 2021)

IronDepth: Iterative Refinement of Single-View Depth using Surface Normal and its Uncertainty. - Gwangbin Bae; Ignas Budvytis; Roberto Cipolla (BMVC, 2022)

SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB Image. - Florian Langer; Gwangbin Bae; Ignas Budvytis; Roberto Cipolla (BMVC, 2022)

Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. - Gwangbin Bae; Ignas Budvytis; Roberto Cipolla (CVPR, 2022)

Efficient Large-scale Localization by Global Instance Recognition. - Fei Xue; Ignas Budvytis; Daniel Olmeda Reino; Roberto Cipolla (CVPR, 2022)

Sparse Multi-Object Render-and-Compare. - Florian Langer; Ignas Budvytis; Roberto Cipolla (BMVC, 2023)

HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation. - Akash Sengupta; Ignas Budvytis; Roberto Cipolla (CVPR, 2023)

SFD2: Semantic-Guided Feature Detection and Description. - Fei Xue; Ignas Budvytis; Roberto Cipolla (CVPR, 2023)

IMP: Iterative Matching and Pose Estimation with Adaptive Pooling. - Fei Xue; Ignas Budvytis; Roberto Cipolla (CVPR, 2023)

Function-constrained Program Synthesis. - Patrick Hajali; Ignas Budvytis (CoRR, 2023)

A CNN Based Approach for the Point-Light Photometric Stereo Problem. - Fotios Logothetis; Roberto Mecca; Ignas Budvytis; Roberto Cipolla (Int. J. Comput. Vis., 2023)

DiaLoc: An Iterative Approach to Embodied Dialog Localization. - Chao Zhang; Mohan Li; Ignas Budvytis; Stephan Liwicki (CVPR, 2024)

VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field. - Fei Xue; Ignas Budvytis; Daniel Olmeda Reino; Roberto Cipolla (ECCV Workshops (23), 2024)

A Neural Height-Map Approach for the Binocular Photometric Stereo Problem. - Fotios Logothetis; Ignas Budvytis; Roberto Cipolla (WACV, 2024)

DiaLoc: An Iterative Approach to Embodied Dialog Localization. - Chao Zhang 023; Mohan Li; Ignas Budvytis; Stephan Liwicki (CoRR, 2024)

Task Agnostic Architecture for Algorithm Induction via Implicit Composition. - Sahil J. Sindhi; Ignas Budvytis (CoRR, 2024)

PRAM: Place Recognition Anywhere Model for Efficient Visual Localization. - Fei Xue; Ignas Budvytis; Roberto Cipolla (CoRR, 2024)

NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo. - Fotios Logothetis; Ignas Budvytis; Roberto Cipolla (CoRR, 2024)

LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo. - Fotios Logothetis; Ignas Budvytis; Stephan Liwicki; Roberto Cipolla (CoRR, 2024)

NPL-MVPS: Neural Point-Light Multi-View Photometric Stereo. - Fotios Logothetis; Ignas Budvytis; Roberto Cipolla (WACV, 2025)

LoRAtorio: An intrinsic approach to LoRA Skill Composition. - Niki Foteinopoulou; Ignas Budvytis; Stephan Liwicki (CoRR, 2025)