Lubor Ladicky

According to our database, Lubor Ladicky authored at least 42 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Real-time Collision using AI.

Lubor Ladicky, Sohyeon Jeong

Proceedings of the ACM SIGGRAPH 2023 Real-Time Live!, 2023

2022

Quantification of Predictive Uncertainty via Inference-Time Sampling.

Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2020

Precomputed Radiance Transfer for Reflectance and Lighting Estimation.

Daniel Thul, Vagia Tsiminaki, Lubor Ladicky, Marc Pollefeys

Proceedings of the 8th International Conference on 3D Vision, 2020

Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold.

Linfei Pan, Lubor Ladicky, Marc Pollefeys

Proceedings of the 8th International Conference on 3D Vision, 2020

2018

Approximate convex decomposition and transfer for animated meshes.

Daniel Thul, Lubor Ladicky, SoHyeon Jeong, Marc Pollefeys

ACM Trans. Graph., 2018

2017

Efficient minimization of higher order submodular functions using monotonic Boolean functions.

Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr

Discret. Appl. Math., 2017

Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark.

Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys

CoRR, 2017

Physicsforests: real-time fluid simulation using machine learning.

Lubor Ladicky, SoHyeon Jeong, Nemanja Bartolovic, Marc Pollefeys, Markus Gross

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Matching neural paths: transfer from recognition to correspondence search.

Nikolay Savinov, Lubor Ladicky, Marc Pollefeys

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

From Point Clouds to Mesh Using Regression.

Lubor Ladicky, Olivier Saurer, SoHyeon Jeong, Fabio Maninchedda, Marc Pollefeys

Proceedings of the IEEE International Conference on Computer Vision, 2017

Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection.

Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Image-Based Large-Scale Geo-localization in Mountainous Regions.

Olivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

Image Based Geo-localization in the Alps.

Olivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys

Int. J. Comput. Vis., 2016

Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint.

Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Data-driven fluid simulations using regression forests.

Lubor Ladicky, SoHyeon Jeong, Barbara Solenthaler, Marc Pollefeys, Markus H. Gross

ACM Trans. Graph., 2015

Learning the Matching Function.

Lubor Ladicky, Christian Häne, Marc Pollefeys

CoRR, 2015

On the evaluation of higher-order cliques for road network extraction.

Javier A. Montoya-Zegarra, Jan D. Wegner, Lubor Ladicky, Konrad Schindler

Proceedings of the Joint Urban Remote Sensing Event, 2015

Discrete optimization of ray potentials for semantic 3D reconstruction.

Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Direction matters: Depth estimation with a surface normal classifier.

Christian Hane, Lubor Ladicky, Marc Pollefeys

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Associative Hierarchical Random Fields.

Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Discriminatively Trained Dense Surface Normal Estimation.

Lubor Ladicky, Bernhard Zeisl, Marc Pollefeys

Proceedings of the Computer Vision - ECCV 2014, 2014

Mind the Gap: Modeling Local and Global Context in (Road) Networks.

Javier A. Montoya-Zegarra, Jan Dirk Wegner, Lubor Ladicky, Konrad Schindler

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Pulling Things out of Perspective.

Lubor Ladicky, Jianbo Shi, Marc Pollefeys

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Action Recognition From Weak Alignment of Body Parts.

Minh Hoai, Lubor Ladicky, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2014

2013

Inference Methods for CRFs with Co-occurrence Statistics.

Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

Int. J. Comput. Vis., 2013

Depth Map Inpainting under a Second-Order Smoothness Prior.

Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation.

Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction.

Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr

Int. J. Comput. Vis., 2012

Automatic dense visual semantic mapping from street-level imagery.

Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Scalable Cascade Inference for Semantic Image Segmentation.

Paul Sturgess, Lubor Ladicky, Nigel T. Crook, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2012

Latent SVMs for Human Detection with a Locally Affine Deformation Field.

Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2012

2011

Global structured models towards scene understanding.

Lubor Ladicky

PhD thesis, 2011

Learning Anchor Planes for Classification.

Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Locally Linear Support Vector Machines.

Lubor Ladicky, Philip H. S. Torr

Proceedings of the 28th International Conference on Machine Learning, 2011

Human Instance Segmentation from Video using Detector-based Conditional Random Fields.

Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2011

2010

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts.

Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr

Proceedings of the UAI 2010, 2010

What, Where and How Many? Combining Object Detectors and CRFs.

Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr

Proceedings of the Computer Vision, 2010

Graph Cut Based Inference with Co-occurrence Statistics.

Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2010, 2010

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction.

Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2010

2009

Robust Higher Order Potentials for Enforcing Label Consistency.

Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr

Int. J. Comput. Vis., 2009

Associative hierarchical CRFs for object class image segmentation.

Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip H. S. Torr

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Combining Appearance and Structure from Motion Features for Road Scene Understanding.

Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2009