| Graph-Cut RANSAC D Barath, J Matas Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 358 | 2018 |
| MAGSAC: marginalizing sample consensus D Barath, J Noskova, J Matas Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 309 | 2019 |
| 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 | 257 | 2020 |
| 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 | 252 | 2020 |
| Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm D Barath, J Matas Proceedings of the International Conference on Computer Vision (ICCV), 2019 | 71 | 2019 |
| 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 | 55 | 2021 |
| Five-point fundamental matrix estimation for uncalibrated cameras D Barath Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 52 | 2018 |
| Homography from two orientation-and scale-covariant features D Barath, Z Kukelova Proceedings of the International Conference on Computer Vision (ICCV), 2019 | 51 | 2019 |
| Efficient recovery of essential matrix from two affine correspondences D Barath, L Hajder IEEE Transactions on Image Processing 27 (11), 5328-5337, 2018 | 51 | 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 | 50 | 2018 |
| A Theory of Point-wise Homography Estimation D Barath, L Hajder Pattern Recognition Letters, 2017 | 47 | 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 | 46 | 2017 |
| 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 | 39 | 2023 |
| 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 | 37 | 2020 |
| 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 | 36 | 2022 |
| Progressive NAPSAC: sampling from gradually growing neighborhoods D Barath, M Ivashechkin, J Matas arXiv preprint arXiv:1906.02295, 2019 | 33 | 2019 |
| Marginalizing sample consensus D Barath, J Noskova, J Matas IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8420 …, 2021 | 30 | 2021 |
| VSAC: Efficient and Accurate Estimator for H and F M Ivashechkin, D Barath, J Matas International Conference on Computer Vision (ICCV), 2021 | 28 | 2021 |
| 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 | 28 | 2020 |
| Generalized Differentiable RANSAC T Wei, Y Patel, J Matas, D Barath International Conference on Computer Vision (ICCV), 2023 | 27* | 2023 |
Jiri MatasProfessor, Czech Technical University在 cmp.felk.cvut.cz 的电子邮件经过验证
