Journals
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Srikumar Ramalingam, Chris Russell, Ľubor Ladický, Philip H.S. Torr
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions [paper]
Discrete Applied Mathematics, 2017
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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.
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Olivier Saurer, Georges Baatz, Kevin Köser, Ľubor Ladický, Marc Pollefeys
Image Based Geo-Localization in the Alps [paper]
International Journal of Computer Vision, 2015.
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Ľubor Ladický, Chris Russell, Pushmeet Kohli, Philip H.S. Torr
Associative Hierarchical Random Fields [paper]
Transactions on Pattern Analysis and Machine Intelligence, 2013.
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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.
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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.
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Pushmeet Kohli, Ľubor Ladický, Philip H.S. Torr
Robust Higher Order Potentials for Enforcing Label Consistency [paper]
International Journal of Computer Vision, 2009.
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Conferences
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Nikolay Savinov, Ľubor Ladický, Marc Pollefeys
Matching Neural Paths: Transfer from Recognition to Correspondence Search [paper]
Neural Information Processing Systems, 2017.
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Ľubor Ladický, Olivier Saurer, SoHyeon Jeong, Fabio Maninchedda, Marc Pollefeys
From Point Clouds to Mesh using Regression [paper]
International Conference on Computer Vision, 2017.
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Nikolay Savinov, Akihito Seki, Ľubor Ladický, Torsten Sattler, Marc Pollefeys
Quad-networks: unsupervised learning to rank for interest point detection [paper]
Conference of Computer Vision and Pattern Recognition, 2017.
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Timo Hackel, Nikolay Savinov, Ľubor Ladický, Jan D. Wegner, Konrad Schindler, Marc Pollefeys
Semantic3D.NET: A New Large-scale Point Cloud Classification Benchmark [paper]
Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017.
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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.
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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.
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Christian Häne, Ľubor Ladický, Marc Pollefeys
Direction Matters: Depth Estimation with a Surface Normal Classifier [paper]
Conference of Computer Vision and Pattern Recognition, 2015.
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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
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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.
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Ľubor Ladický, Jianbo Shi, Marc Pollefeys
Pulling Things out of Perspective [paper] [talk] [poster] [KITTI_gt]
Conference of Computer Vision and Pattern Recognition, 2014.
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Minh Hoai, Ľubor Ladický, Andrew Zisserman
Action Recognition from Weak Alignment of Body Parts [paper] [supp material]
British Machine Vision Conference, 2014.
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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.
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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.
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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.
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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.
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Paul Sturgess, Ľubor Ladický, Nigel Crook, Philip H.S. Torr
Scalable Cascade Inference for Semantic Image Segmentation [paper]
British Machine Vision Conference, 2012.
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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.
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Ziming Zhang, Ľubor Ladický, Amir Saffari, Philip H.S. Torr
Learning Anchor Planes for Classification [paper]
Neural Information Processing Systems, 2011.
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Ľubor Ladický, Philip H.S. Torr
Locally Linear Support Vector Machines [paper] [talk] [poster]
International Conference on Machine Learning, 2011.
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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.
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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
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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.
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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
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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.
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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.
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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.
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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.
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Thesis
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Ľubor Ladický
Global Structured Models towards Scene Understanding [thesis]
PhD thesis, 2011.
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Tech reports
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Ľubor Ladický, Christian Häne, Marc Pollefeys
Learning the Matching Function [paper]
Arxiv preprint arXiv:1502.00652, 2015
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Pushmeet Kohli, Ľubor Ladický, Philip H.S. Torr
Graph Cuts for Minimizing Robust Higher Order Potentials [paper]
Tech report, 2008
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