Lubor Ladicky

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 18

Top Venues

CoRR

CVPR

Int. J. Comput. Vis.

SIGGRAPH Real Time Live!

Oxford Brookes University, UK (PHD)

Education History

Oxford Brookes University, UK

PHD

Publications

Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR (2023)
Lubor Ladicky, Sohyeon Jeong
Real-time Collision using AI. SIGGRAPH Real Time Live! (2023)
Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI (2022)
Daniel Thul, Vagia Tsiminaki, Lubor Ladicky, Marc Pollefeys
Precomputed Radiance Transfer for Reflectance and Lighting Estimation. 3DV (2020)
Linfei Pan, Lubor Ladicky, Marc Pollefeys
Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold. 3DV (2020)
Nikolay Savinov, Lubor Ladicky, Christian Häne, Marc Pollefeys
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. CoRR (2019)
Daniel Thul, Lubor Ladicky, SoHyeon Jeong, Marc Pollefeys
Approximate convex decomposition and transfer for animated meshes. ACM Trans. Graph. 37 (6) (2018)
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
Matching neural paths: transfer from recognition to correspondence search. CoRR (2017)
Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr
Efficient minimization of higher order submodular functions using monotonic Boolean functions. Discret. Appl. Math. 220 (2017)
Nikolay Savinov, Lubor Ladicky, Marc Pollefeys
Matching neural paths: transfer from recognition to correspondence search. NIPS (2017)
Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. CoRR (2017)
Lubor Ladicky, Olivier Saurer, SoHyeon Jeong, Fabio Maninchedda, Marc Pollefeys
From Point Clouds to Mesh Using Regression. ICCV (2017)
Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. CVPR (2017)
Lubor Ladicky, SoHyeon Jeong, Nemanja Bartolovic, Marc Pollefeys, Markus Gross
Physicsforests: real-time fluid simulation using machine learning. SIGGRAPH Real Time Live! (2017)
Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CVPR (2016)
Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
Quad-networks: unsupervised learning to rank for interest point detection. CoRR (2016)
Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CoRR (2016)
Olivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys
Image Based Geo-localization in the Alps. Int. J. Comput. Vis. 116 (3) (2016)
Javier A. Montoya-Zegarra, Jan D. Wegner, Lubor Ladicky, Konrad Schindler
On the evaluation of higher-order cliques for road network extraction. JURSE (2015)
Christian Hane, Lubor Ladicky, Marc Pollefeys
Direction matters: Depth estimation with a surface normal classifier. CVPR (2015)
Lubor Ladicky, SoHyeon Jeong, Barbara Solenthaler, Marc Pollefeys, Markus H. Gross
Data-driven fluid simulations using regression forests. ACM Trans. Graph. 34 (6) (2015)
Lubor Ladicky, Christian Häne, Marc Pollefeys
Learning the Matching Function. CoRR (2015)
Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys
Discrete optimization of ray potentials for semantic 3D reconstruction. CVPR (2015)
Minh Hoai, Lubor Ladicky, Andrew Zisserman
Action Recognition From Weak Alignment of Body Parts. BMVC (2014)
Lubor Ladicky, Jianbo Shi, Marc Pollefeys
Pulling Things out of Perspective. CVPR (2014)
Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
Associative Hierarchical Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 36 (6) (2014)
Javier A. Montoya-Zegarra, Jan Dirk Wegner, Lubor Ladicky, Konrad Schindler
Mind the Gap: Modeling Local and Global Context in (Road) Networks. GCPR (2014)
Lubor Ladicky, Bernhard Zeisl, Marc Pollefeys
Discriminatively Trained Dense Surface Normal Estimation. ECCV (5) (2014)
Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. CVPR (2013)
Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
Inference Methods for CRFs with Co-occurrence Statistics. Int. J. Comput. Vis. 103 (2) (2013)
Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä
Depth Map Inpainting under a Second-Order Smoothness Prior. SCIA (2013)
Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman
Latent SVMs for Human Detection with a Locally Affine Deformation Field. BMVC (2012)
Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr
Automatic dense visual semantic mapping from street-level imagery. IROS (2012)
Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts CoRR (2012)
Paul Sturgess, Lubor Ladicky, Nigel T. Crook, Philip H. S. Torr
Scalable Cascade Inference for Semantic Image Segmentation. BMVC (2012)
Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr
Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. Int. J. Comput. Vis. 100 (2) (2012)
Lubor Ladicky, Philip H. S. Torr
Locally Linear Support Vector Machines. ICML (2011)
Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr
Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC (2011)
Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari
Learning Anchor Planes for Classification. NIPS (2011)
Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions CoRR (2011)
Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr
What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) (2010)
Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI (2010)
Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. BMVC (2010)
Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) (2010)
Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr
Associative hierarchical CRFs for object class image segmentation. ICCV (2009)
Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr
Robust Higher Order Potentials for Enforcing Label Consistency. Int. J. Comput. Vis. 82 (3) (2009)
Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr
Combining Appearance and Structure from Motion Features for Road Scene Understanding. BMVC (2009)
Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr
Robust higher order potentials for enforcing label consistency. CVPR (2008)

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Publication Activity (10 Years)

Top Topics

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Lubor Ladicky