Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLubor Ladicky
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-03-26 01:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
