Combining Appearance and Structure from Motion Features for Road Scene Understanding. - Paul Sturgess; Karteek Alahari; Lubor Ladicky; Philip H. S. Torr (BMVC, 2009)

Associative hierarchical CRFs for object class image segmentation. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (ICCV, 2009)

Robust Higher Order Potentials for Enforcing Label Consistency. - Pushmeet Kohli; Lubor Ladicky; Philip H. S. Torr (Int. J. Comput. Vis., 2009)

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. - Lubor Ladicky; Paul Sturgess; Chris Russell 001; Sunando Sengupta; Yalin Bastanlar; William F. Clocksin; Philip H. S. Torr (BMVC, 2010)

Graph Cut Based Inference with Co-occurrence Statistics. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (ECCV (5), 2010)

What, Where and How Many? Combining Object Detectors and CRFs. - Lubor Ladicky; Paul Sturgess; Karteek Alahari; Chris Russell 001; Philip H. S. Torr (ECCV (4), 2010)

Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. - Chris Russell 001; Lubor Ladicky; Pushmeet Kohli; Philip H. S. Torr (UAI, 2010)

Human Instance Segmentation from Video using Detector-based Conditional Random Fields. - Vibhav Vineet; Jonathan Warrell; Lubor Ladicky; Philip H. S. Torr (BMVC, 2011)

Locally Linear Support Vector Machines. - Lubor Ladicky; Philip H. S. Torr (ICML, 2011)

Learning Anchor Planes for Classification. - Ziming Zhang; Lubor Ladicky; Philip H. S. Torr; Amir Saffari (NIPS, 2011)

Global structured models towards scene understanding. - Lubor Ladicky (2011)

Latent SVMs for Human Detection with a Locally Affine Deformation Field. - Lubor Ladicky; Philip H. S. Torr; Andrew Zisserman (BMVC, 2012)

Scalable Cascade Inference for Semantic Image Segmentation. - Paul Sturgess; Lubor Ladicky; Nigel T. Crook; Philip H. S. Torr (BMVC, 2012)

Automatic dense visual semantic mapping from street-level imagery. - Sunando Sengupta; Paul Sturgess; Lubor Ladicky; Philip H. S. Torr (IROS, 2012)

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. - Lubor Ladicky; Paul Sturgess; Chris Russell 001; Sunando Sengupta; Yalin Bastanlar; William F. Clocksin; Philip H. S. Torr (Int. J. Comput. Vis., 2012)

Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. - Lubor Ladicky; Philip H. S. Torr; Andrew Zisserman (CVPR, 2013)

Depth Map Inpainting under a Second-Order Smoothness Prior. - Daniel Herrera C.; Juho Kannala; Lubor Ladicky; Janne Heikkilä (SCIA, 2013)

Inference Methods for CRFs with Co-occurrence Statistics. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (Int. J. Comput. Vis., 2013)

Action Recognition From Weak Alignment of Body Parts. - Minh Hoai; Lubor Ladicky; Andrew Zisserman (BMVC, 2014)

Pulling Things out of Perspective. - Lubor Ladicky; Jianbo Shi; Marc Pollefeys (CVPR, 2014)

Mind the Gap: Modeling Local and Global Context in (Road) Networks. - Javier A. Montoya-Zegarra; Jan Dirk Wegner; Lubor Ladicky; Konrad Schindler (GCPR, 2014)

Discriminatively Trained Dense Surface Normal Estimation. - Lubor Ladicky; Bernhard Zeisl; Marc Pollefeys (ECCV (5), 2014)

Associative Hierarchical Random Fields. - Lubor Ladicky; Chris Russell 001; Pushmeet Kohli; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Direction matters: Depth estimation with a surface normal classifier. - Christian Hane; Lubor Ladicky; Marc Pollefeys (CVPR, 2015)

Discrete optimization of ray potentials for semantic 3D reconstruction. - Nikolay Savinov; Lubor Ladicky; Christian Hane; Marc Pollefeys (CVPR, 2015)

On the evaluation of higher-order cliques for road network extraction. - Javier A. Montoya-Zegarra; Jan D. Wegner; Lubor Ladicky; Konrad Schindler (JURSE, 2015)

Learning the Matching Function. - Lubor Ladicky; Christian Häne; Marc Pollefeys (CoRR, 2015)

Data-driven fluid simulations using regression forests. - Lubor Ladicky; SoHyeon Jeong; Barbara Solenthaler; Marc Pollefeys; Markus H. Gross (ACM Trans. Graph., 2015)

Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. - Nikolay Savinov; Christian Häne; Lubor Ladicky; Marc Pollefeys (CVPR, 2016)

Image Based Geo-localization in the Alps. - Olivier Saurer; Georges Baatz; Kevin Köser; Lubor Ladicky; Marc Pollefeys (Int. J. Comput. Vis., 2016)

Image-Based Large-Scale Geo-localization in Mountainous Regions. - Olivier Saurer; Georges Baatz; Kevin Köser; Lubor Ladicky; Marc Pollefeys (Large-Scale Visual Geo-Localization, 2016)

Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. - Nikolay Savinov; Akihito Seki; Lubor Ladicky; Torsten Sattler; Marc Pollefeys (CVPR, 2017)

From Point Clouds to Mesh Using Regression. - Lubor Ladicky; Olivier Saurer; SoHyeon Jeong; Fabio Maninchedda; Marc Pollefeys (ICCV, 2017)

Matching neural paths: transfer from recognition to correspondence search. - Nikolay Savinov; Lubor Ladicky; Marc Pollefeys (NIPS, 2017)

Physicsforests: real-time fluid simulation using machine learning. - Lubor Ladicky; SoHyeon Jeong; Nemanja Bartolovic; Marc Pollefeys; Markus Gross 001 (SIGGRAPH Real Time Live!, 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)

Efficient minimization of higher order submodular functions using monotonic Boolean functions. - Srikumar Ramalingam; Chris Russell 001; Lubor Ladicky; Philip H. S. Torr (Discret. Appl. Math., 2017)

Approximate convex decomposition and transfer for animated meshes. - Daniel Thul; Lubor Ladicky; SoHyeon Jeong; Marc Pollefeys (ACM Trans. Graph., 2018)

Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold. - Linfei Pan; Lubor Ladicky; Marc Pollefeys (3DV, 2020)

Precomputed Radiance Transfer for Reflectance and Lighting Estimation. - Daniel Thul; Vagia Tsiminaki; Lubor Ladicky; Marc Pollefeys (3DV, 2020)

Quantification of Predictive Uncertainty via Inference-Time Sampling. - Katarína Tóthová; Lubor Ladicky; Daniel Thul; Marc Pollefeys; Ender Konukoglu (UNSURE@MICCAI, 2022)

Real-time Collision using AI. - Lubor Ladicky; Sohyeon Jeong (SIGGRAPH Real Time Live!, 2023)