Lubor Ladicky - RankMe

50 papers A* 10A 8Journal 17Unranked 13

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