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Lubor Ladicky
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2020 – today
- 2023
- [c31]Lubor Ladicky
, Sohyeon Jeong
:
Real-time Collision using AI. SIGGRAPH Real Time Live! 2023: 7:1-7:2 - [i9]Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR abs/2308.01731 (2023) - 2022
- [c30]Katarína Tóthová
, Lubor Ladicky, Daniel Thul, Marc Pollefeys
, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI 2022: 14-25 - 2020
- [c29]Linfei Pan, Lubor Ladicky, Marc Pollefeys
:
Compression and Completion of Animated Point Clouds using Topological Properties of the Manifold. 3DV 2020: 734-742 - [c28]Daniel Thul, Vagia Tsiminaki, Lubor Ladicky, Marc Pollefeys
:
Precomputed Radiance Transfer for Reflectance and Lighting Estimation. 3DV 2020: 1147-1156
2010 – 2019
- 2019
- [i8]Nikolay Savinov, Lubor Ladicky, Christian Häne, Marc Pollefeys:
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction. CoRR abs/1906.10491 (2019) - 2018
- [j8]Daniel Thul, Lubor Ladicky, SoHyeon Jeong, Marc Pollefeys
:
Approximate convex decomposition and transfer for animated meshes. ACM Trans. Graph. 37(6): 226 (2018) - 2017
- [j7]Srikumar Ramalingam
, Chris Russell
, Lubor Ladicky, Philip H. S. Torr:
Efficient minimization of higher order submodular functions using monotonic Boolean functions. Discret. Appl. Math. 220: 1-19 (2017) - [c27]Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys
:
Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection. CVPR 2017: 3929-3937 - [c26]Lubor Ladicky, Olivier Saurer, SoHyeon Jeong, Fabio Maninchedda, Marc Pollefeys
:
From Point Clouds to Mesh Using Regression. ICCV 2017: 3913-3922 - [c25]Nikolay Savinov, Lubor Ladicky, Marc Pollefeys:
Matching neural paths: transfer from recognition to correspondence search. NIPS 2017: 1205-1214 - [c24]Lubor Ladicky, SoHyeon Jeong, Nemanja Bartolovic, Marc Pollefeys, Markus Gross:
Physicsforests: real-time fluid simulation using machine learning. SIGGRAPH Real Time Live! 2017: 22 - [i7]Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys:
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. CoRR abs/1704.03847 (2017) - [i6]Nikolay Savinov, Lubor Ladicky, Marc Pollefeys:
Matching neural paths: transfer from recognition to correspondence search. CoRR abs/1705.08272 (2017) - 2016
- [j6]Olivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys
:
Image Based Geo-localization in the Alps. Int. J. Comput. Vis. 116(3): 213-225 (2016) - [c23]Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys
:
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CVPR 2016: 5460-5469 - [p1]Olivier Saurer, Georges Baatz, Kevin Köser, Lubor Ladicky, Marc Pollefeys
:
Image-Based Large-Scale Geo-localization in Mountainous Regions. Large-Scale Visual Geo-Localization 2016: 205-223 - [i5]Nikolay Savinov, Christian Häne, Lubor Ladicky, Marc Pollefeys:
Semantic 3D Reconstruction with Continuous Regularization and Ray Potentials Using a Visibility Consistency Constraint. CoRR abs/1604.02885 (2016) - [i4]Nikolay Savinov, Akihito Seki, Lubor Ladicky, Torsten Sattler, Marc Pollefeys:
Quad-networks: unsupervised learning to rank for interest point detection. CoRR abs/1611.07571 (2016) - 2015
- [j5]Lubor Ladicky, SoHyeon Jeong, Barbara Solenthaler
, Marc Pollefeys
, Markus H. Gross
:
Data-driven fluid simulations using regression forests. ACM Trans. Graph. 34(6): 199:1-199:9 (2015) - [c22]Christian Hane, Lubor Ladicky, Marc Pollefeys
:
Direction matters: Depth estimation with a surface normal classifier. CVPR 2015: 381-389 - [c21]Nikolay Savinov, Lubor Ladicky, Christian Hane, Marc Pollefeys
:
Discrete optimization of ray potentials for semantic 3D reconstruction. CVPR 2015: 5511-5518 - [c20]Javier A. Montoya-Zegarra
, Jan D. Wegner, Lubor Ladicky, Konrad Schindler:
On the evaluation of higher-order cliques for road network extraction. JURSE 2015: 1-4 - [i3]Lubor Ladicky, Christian Häne, Marc Pollefeys:
Learning the Matching Function. CoRR abs/1502.00652 (2015) - 2014
- [j4]Lubor Ladicky, Chris Russell
, Pushmeet Kohli, Philip H. S. Torr:
Associative Hierarchical Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1056-1077 (2014) - [c19]Minh Hoai, Lubor Ladicky, Andrew Zisserman:
Action Recognition From Weak Alignment of Body Parts. BMVC 2014 - [c18]Lubor Ladicky, Jianbo Shi, Marc Pollefeys
:
Pulling Things out of Perspective. CVPR 2014: 89-96 - [c17]Javier A. Montoya-Zegarra
, Jan Dirk Wegner, Lubor Ladicky, Konrad Schindler:
Mind the Gap: Modeling Local and Global Context in (Road) Networks. GCPR 2014: 212-223 - [c16]Lubor Ladicky, Bernhard Zeisl, Marc Pollefeys
:
Discriminatively Trained Dense Surface Normal Estimation. ECCV (5) 2014: 468-484 - 2013
- [j3]Lubor Ladicky, Chris Russell
, Pushmeet Kohli, Philip H. S. Torr:
Inference Methods for CRFs with Co-occurrence Statistics. Int. J. Comput. Vis. 103(2): 213-225 (2013) - [c15]Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman:
Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation. CVPR 2013: 3578-3585 - [c14]Daniel Herrera C., Juho Kannala, Lubor Ladicky, Janne Heikkilä:
Depth Map Inpainting under a Second-Order Smoothness Prior. SCIA 2013: 555-566 - 2012
- [j2]Lubor Ladicky, Paul Sturgess, Chris Russell
, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr:
Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction. Int. J. Comput. Vis. 100(2): 122-133 (2012) - [c13]Lubor Ladicky, Philip H. S. Torr, Andrew Zisserman:
Latent SVMs for Human Detection with a Locally Affine Deformation Field. BMVC 2012: 1-11 - [c12]Paul Sturgess, Lubor Ladicky, Nigel T. Crook, Philip H. S. Torr:
Scalable Cascade Inference for Semantic Image Segmentation. BMVC 2012: 1-10 - [c11]Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr:
Automatic dense visual semantic mapping from street-level imagery. IROS 2012: 857-862 - [i2]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. CoRR abs/1203.3512 (2012) - 2011
- [b1]Lubor Ladicky:
Global structured models towards scene understanding. Oxford Brookes University, UK, 2011 - [c10]Vibhav Vineet, Jonathan Warrell, Lubor Ladicky, Philip H. S. Torr:
Human Instance Segmentation from Video using Detector-based Conditional Random Fields. BMVC 2011: 1-11 - [c9]Lubor Ladicky, Philip H. S. Torr:
Locally Linear Support Vector Machines. ICML 2011: 985-992 - [c8]Ziming Zhang, Lubor Ladicky, Philip H. S. Torr, Amir Saffari:
Learning Anchor Planes for Classification. NIPS 2011: 1611-1619 - [i1]Srikumar Ramalingam, Chris Russell, Lubor Ladicky, Philip H. S. Torr:
Efficient Minimization of Higher Order Submodular Functions using Monotonic Boolean Functions. CoRR abs/1109.2304 (2011) - 2010
- [c7]Lubor Ladicky, Paul Sturgess, Chris Russell
, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr:
Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction. BMVC 2010: 1-11 - [c6]Lubor Ladicky, Chris Russell
, Pushmeet Kohli, Philip H. S. Torr:
Graph Cut Based Inference with Co-occurrence Statistics. ECCV (5) 2010: 239-253 - [c5]Lubor Ladicky, Paul Sturgess, Karteek Alahari
, Chris Russell
, Philip H. S. Torr:
What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) 2010: 424-437 - [c4]Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip H. S. Torr:
Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts. UAI 2010: 501-508
2000 – 2009
- 2009
- [j1]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr:
Robust Higher Order Potentials for Enforcing Label Consistency. Int. J. Comput. Vis. 82(3): 302-324 (2009) - [c3]Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr:
Combining Appearance and Structure from Motion Features for Road Scene Understanding. BMVC 2009: 1-11 - [c2]Lubor Ladicky, Chris Russell
, Pushmeet Kohli, Philip H. S. Torr:
Associative hierarchical CRFs for object class image segmentation. ICCV 2009: 739-746 - 2008
- [c1]Pushmeet Kohli, Lubor Ladicky, Philip H. S. Torr:
Robust higher order potentials for enforcing label consistency. CVPR 2008
Coauthor Index
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