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Ľubor Ladický


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Journals
Ľubor Ladický, SoHyeon Jeong, Barbara Solenthaler, Marc Pollefeys, Markus Gross
Data-Driven Fluid Simulations using Regression Forests [paper] [youtube] [website]
Transactions on Graphics (SIGGRAPH Asia), 2015.

Olivier Saurer, Georges Baatz, Kevin Köser, Ľubor Ladický, Marc Pollefeys
Image Based Geo-Localization in the Alps [paper]
International Journal of Computer Vision, 2015.

Ľubor Ladický, Chris Russell, Pushmeet Kohli, Philip H.S. Torr
Associative Hierarchical Random Fields [paper]
Transactions on Pattern Analysis and Machine Intelligence, 2013.

Ľubor Ladický, Chris Russell, Pushmeet Kohli, Philip H.S. Torr
Inference Methods for CRFs with Co-occurrence Statistics [paper]
International Journal of Computer Vision, 2012.

Ľubor Ladický, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin, Philip H.S. Torr
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction [paper] [Leuven]
International Journal of Computer Vision, 2012.

Pushmeet Kohli, Ľubor Ladický, Philip H.S. Torr
Robust Higher Order Potentials for Enforcing Label Consistency [paper]
International Journal of Computer Vision, 2009.


Conferences
Nikolay Savinov, Christian Häne, Ľubor Ladický, Marc Pollefeys
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint [paper]
Conference of Computer Vision and Pattern Recognition, 2016.

Nikolay Savinov, Ľubor Ladický, Christian Häne, Marc Pollefeys
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction [paper] [video]
Conference of Computer Vision and Pattern Recognition, 2015.

Christian Häne, Ľubor Ladický, Marc Pollefeys
Direction Matters: Depth Estimation with a Surface Normal Classifier [paper]
Conference of Computer Vision and Pattern Recognition, 2015.

Javier A. Montoya-Zegarra, Jan D. Wegner, Ľubor Ladický, Konrad Schindler
Semantic Segmentation of Aerial Images in Urban Areas with Class-specific Higher-order Cliques [paper]
Photogrammetric Image Analysis, 2015.
Best Paper Award

Javier A. Montoya-Zegarra, Jan D. Wegner, Ľubor Ladický, Konrad Schindler
On the Evaluation of Higher-Order Cliques for Road Network Extraction [paper]
Joint Urban Remote Sensing Event, 2015.

Ľubor Ladický, Bernhard Zeisl, Marc Pollefeys
Discriminatively Trained Dense Surface Normal Estimation [paper] [supp material] [poster] [RMRC talk] [NYU_gt]
European Conference on Computer Vision, 2014.

Ľubor Ladický, Jianbo Shi, Marc Pollefeys
Pulling Things out of Perspective [paper] [talk] [poster] [KITTI_gt]
Conference of Computer Vision and Pattern Recognition, 2014.

Minh Hoai, Ľubor Ladický, Andrew Zisserman
Action Recognition from Weak Alignment of Body Parts [paper] [supp material]
British Machine Vision Conference, 2014.

Javier A. Montoya-Zegarra, Jan D. Wegner, Ľubor Ladický, Konrad Schindler
Mind the Gap: Modeling Local and Global Context in (Road) Networks [paper]
German Conference on Pattern Recognition, 2014.

Ľubor Ladický, Philip H.S. Torr, Andrew Zisserman
Human Pose Estimation using a Joint Pixel-wise and Part-wise Formulation [paper] [poster] [Buffy]
Conference of Computer Vision and Pattern Recognition, 2013.

Daniel Herrera C., Juho Kannala, Ľubor Ladický, Janne Heikkilä
Depth Map Inpainting under a Second-order Smoothness Prior[paper]
Scandinavian Conference on Image Analysis, 2013.

Ľubor Ladický, Philip H.S. Torr, Andrew Zisserman
Latent SVMs for Human Detection with a Locally Affine Deformation Field [paper] [talk] [Buffy]
British Machine Vision Conference, 2012.

Paul Sturgess, Ľubor Ladický, Chris Russell, Nigel Crook, Philip H.S. Torr
Scalable Cascade Inference for Semantic Image Segmentation [paper]
British Machine Vision Conference, 2012.

Sunando Sengupta, Paul Sturgess, Ľubor Ladický, Philip H.S. Torr
Automatic Dense Visual Semantic Mapping from Street-Level Imagery [paper] [video]
International Conference on Intelligent Robots and Systems, 2012.

Ziming Zhang, Ľubor Ladický, Amir Saffari, Philip H.S. Torr
Learning Anchor Planes for Classification [paper]
Neural Information Processing Systems, 2011.

Ľubor Ladický, Philip H.S. Torr
Locally Linear Support Vector Machines [paper] [talk] [poster]
International Conference on Machine Learning, 2011.

Vibhav Vineet, Jonathan Warell, Ľubor Ladický, Philip H.S. Torr
Human Instance Segmentation from Video using Detector-based Conditional Random Fields [paper]
British Machine Vision Conference, 2011.

Ľubor Ladický, Chris Russell, Pushmeet Kohli, Philip H.S. Torr
Graph Cut based Inference with Co-occurrence Statistics [paper] [talk]
European Conference on Computer Vision, 2010.
Best Paper Award

Ľubor Ladický, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H.S. Torr
What,Where & How Many? Combining Object Detectors and CRFs [paper] [talk]
European Conference on Computer Vision, 2010.

Ľubor Ladický, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William Clocksin, Philip H.S. Torr
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction [paper] [talk] [Leuven]
British Machine Vision Conference, 2010.
Best Paper Award

Chris Russell, Ľubor Ladický, Pushmeet Kohli, Philip H.S. Torr
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts [paper] [poster]
Conference on Uncertainty in Artificial Intelligence, 2010.

Ľubor Ladický, Chris Russell, Pushmeet Kohli, Philip H.S. Torr
Associative Hierarchical CRFs for Object Class Image Segmentation [paper] [poster]
International Conference on Computer Vision, 2009.

Paul Sturgess, Karteek Alahari, Ľubor Ladický, Philip H.S. Torr
Combining Appearance and Structure from Motion Features for Road Scene Understanding [paper]
British Machine Vision Conference, 2009.

Pushmeet Kohli, Ľubor Ladický, Philip H.S. Torr
Robust Higher Order Potentials for Enforcing Label Consistency [paper]
Conference of Computer Vision and Pattern Recognition, 2008.


Thesis
Ľubor Ladický
Global Structured Models towards Scene Understanding [thesis]
PhD thesis, 2011.


Tech reports
Ľubor Ladický, Christian Häne, Marc Pollefeys
Learning the Matching Function [paper]
Arxiv preprint arXiv:1502.00652, 2015

Srikumar Ramalingam, Chris Russell, Ľubor Ladický, Philip H.S. Torr
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions [paper]
Arxiv preprint arXiv:1109.2304, 2011

Pushmeet Kohli, Ľubor Ladický, Philip H.S. Torr
Graph Cuts for Minimizing Robust Higher Order Potentials [paper]
Tech report, 2008