Daniel Barath

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Jiri MatasProfessor, Czech Technical UniversityDirección de correo verificada de cmp.felk.cvut.cz
Levente HajderEötvös Loránd UniversityDirección de correo verificada de inf.elte.hu
Zuzana KukelovaAssistant Professor, Czech Technical University in PragueDirección de correo verificada de cmp.felk.cvut.cz
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, MicrosoftDirección de correo verificada de inf.ethz.ch
Ivan EichhardtELTEDirección de correo verificada de inf.elte.hu
Torsten SattlerSenior Researcher, Czech Technical University in PragueDirección de correo verificada de cvut.cz
Dmytro MishkinPostdoc, Czech Technical University in PragueDirección de correo verificada de fel.cvut.cz
Ji ZhaoPhD, Huazhong University of Science and TechnologyDirección de correo verificada de cmu.edu
Banglei GuanNational University of Defense TechnologyDirección de correo verificada de nudt.edu.cn
Tomáš HodaňResearch Scientist, Reality Labs at MetaDirección de correo verificada de cmp.felk.cvut.cz
Viktor LarssonAssistant Professor at Lund UniversityDirección de correo verificada de math.lth.se
Friedrich FraundorferProfessor, TU GrazDirección de correo verificada de icg.tugraz.at
Wolfgang FörstnerProfessor of Photogrammetry, Univerity BonnDirección de correo verificada de ipb.uni-bonn.de
Michal PolicPhD student, Czech Technical University in PragueDirección de correo verificada de cvut.cz
Iro ArmeniStanford UniversityDirección de correo verificada de stanford.edu
Tomas PajdlaAssociate professor, Czech Technical University in PragueDirección de correo verificada de cvut.cz
Gábor ValasekFaculty of Informatics, Eötvös Loránd UniversityDirección de correo verificada de inf.elte.hu
Zoltan KatoUniversity of SzegedDirección de correo verificada de inf.u-szeged.hu

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Daniel Barath

ETH Zürich

Dirección de correo verificada de ethz.ch - Página principal

Computer vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Graph-Cut RANSAC D Barath, J Matas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	311	2018
MAGSAC: marginalizing sample consensus D Barath, J Noskova, J Matas Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019	277	2019
EPOS: Estimating 6d pose of objects with symmetries T Hodan, D Barath, J Matas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	227	2020
MAGSAC++, a fast, reliable and accurate robust estimator D Barath, J Noskova, M Ivashechkin, J Matas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	216	2020
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm D Barath, J Matas Proceedings of the International Conference on Computer Vision (ICCV), 2019	65	2019
Efficient recovery of essential matrix from two affine correspondences D Barath, L Hajder IEEE Transactions on Image Processing 27 (11), 5328-5337, 2018	49	2018
Multi-class model fitting by energy minimization and mode-seeking D Barath, J Matas Proceedings of the European Conference on Computer Vision (ECCV), 221-236, 2018	49	2018
Homography from two orientation-and scale-covariant features D Barath, Z Kukelova Proceedings of the International Conference on Computer Vision (ICCV), 2019	47	2019
Five-point fundamental matrix estimation for uncalibrated cameras D Barath Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	45	2018
A Theory of Point-wise Homography Estimation D Barath, L Hajder Pattern Recognition Letters, 2017	45	2017
A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences D Barath, T Toth, L Hajder Conference on Computer Vision and Pattern Recognition, 2017	43	2017
Graph-cut RANSAC: Local optimization on spatially coherent structures D Barath, J Matas IEEE transactions on pattern analysis and machine intelligence 44 (9), 4961-4974, 2021	41	2021
Making Affine Correspondences Work in Camera Geometry Computation D Barath, M Polic, W Förstner, T Sattler, T Pajdla, Z Kukelova European Conference on Computer Vision, 2020	33	2020
Progressive NAPSAC: sampling from gradually growing neighborhoods D Barath, M Ivashechkin, J Matas arXiv preprint arXiv:1906.02295, 2019	30	2019
Use of siRNAs for diagnosis of viruses associated to woody plants in nurseries and stock collections N Czotter, J Molnár, R Pesti, E Demián, D Baráth, T Varga, É Várallyay Viral metagenomics: Methods and protocols, 115-130, 2018	27	2018
Relative planar motion for vehicle-mounted cameras from a single affine correspondence L Hajder, D Barath 2020 IEEE International Conference on Robotics and Automation (ICRA), 8651-8657, 2020	26	2020
VSAC: Efficient and Accurate Estimator for H and F M Ivashechkin, D Barath, J Matas International Conference on Computer Vision (ICCV), 2021	25	2021
Deeplsd: Line segment detection and refinement with deep image gradients R Pautrat, D Barath, V Larsson, MR Oswald, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	24	2023
Learning to find good models in RANSAC D Barath, L Cavalli, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	23	2022
Marginalizing sample consensus D Barath, J Noskova, J Matas IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8420 …, 2021	23	2021

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