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ORCIDDaniel Barath
Dániel Baráth – Dániel Béla Baráth
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2020 – today
- 2024
[c66]Petr Hruby, Shaohui Liu, Rémi Pautrat, Marc Pollefeys, Daniel Barath:
Handbook on Leveraging Lines for Two-View Relative Pose Estimation. 3DV 2024: 376-386- [c65]Shengze Jin, Daniel Barath, Marc Pollefeys, Iro Armeni:
Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature. 3DV 2024: 1330-1339 - [c64]Shengze Jin, Iro Armeni, Marc Pollefeys, Dániel Baráth:
Multiway Point Cloud Mosaicking with Diffusion and Global Optimization. CVPR 2024: 20838-20849 - [c63]Jonathan Ventura, Zuzana Kukelova, Torsten Sattler, Dániel Baráth:
Absolute Pose from One or Two Scaled and Oriented Features. CVPR 2024: 20870-20880 - [c62]Shuzhe Wang, Juho Kannala, Daniel Barath:
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. CVPR 2024: 20881-20891 - [c61]Petr Hruby, Marc Pollefeys
, Daniel Barath:
Semicalibrated Relative Pose from an Affine Correspondence and Monodepth. ECCV (40) 2024: 39-57 - [c60]Linfei Pan, Dániel Baráth, Marc Pollefeys, Johannes L. Schönberger:
Global Structure-from-Motion Revisited. ECCV (40) 2024: 58-77 - [c59]Linfei Pan, Marc Pollefeys, Dániel Baráth:
Gravity-Aligned Rotation Averaging with Circular Regression. ECCV (40) 2024: 97-116 - [c58]Yang Miao, Francis Engelmann, Olga Vysotska, Federico Tombari, Marc Pollefeys, Dániel Béla Baráth:
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs. ECCV (8) 2024: 127-150 - [c57]Luca Di Giammarino, Boyang Sun, Giorgio Grisetti, Marc Pollefeys, Hermann Blum, Daniel Barath:
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization Using Geometrical Information. ECCV (86) 2024: 188-205 - [c56]Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni:
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps. ECCV (39) 2024: 220-237 - [c55]Shinjeong Kim, Marc Pollefeys, Daniel Barath:
Learning to Make Keypoints Sub-pixel Accurate. ECCV (78) 2024: 413-431 - [c54]Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys:
StereoGlue: Robust Estimation with Single-Point Solvers. ECCV (57) 2024: 421-441 - [c53]Oguzhan Ilter, Iro Armeni, Marc Pollefeys, Daniel Barath:
Semantically Guided Feature Matching for Visual SLAM. ICRA 2024: 12013-12019 - [i52]Shengze Jin, Iro Armeni, Marc Pollefeys, Daniel Barath:
Multiway Point Cloud Mosaicking with Diffusion and Global Optimization. CoRR abs/2404.00429 (2024) - [i51]Yang Miao, Francis Engelmann, Olga Vysotska, Federico Tombari, Marc Pollefeys, Dániel Béla Baráth:
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs. CoRR abs/2404.00469 (2024) - [i50]Jiaqi Chen, Daniel Barath, Iro Armeni, Marc Pollefeys, Hermann Blum:
"Where am I?" Scene Retrieval with Language. CoRR abs/2404.14565 (2024) - [i49]Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni:
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps. CoRR abs/2406.05849 (2024) - [i48]Tong Wei, Philipp Lindenberger, Jiri Matas, Daniel Barath:
Breaking the Frame: Image Retrieval by Visual Overlap Prediction. CoRR abs/2406.16204 (2024) - [i47]Shinjeong Kim, Marc Pollefeys, Daniel Barath:
Learning to Make Keypoints Sub-Pixel Accurate. CoRR abs/2407.11668 (2024) - [i46]Luca Di Giammarino, Boyang Sun, Giorgio Grisetti, Marc Pollefeys, Hermann Blum, Daniel Barath:
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information. CoRR abs/2407.15593 (2024) - [i45]Linfei Pan, Dániel Baráth, Marc Pollefeys, Johannes L. Schönberger:
Global Structure-from-Motion Revisited. CoRR abs/2407.20219 (2024) - [i44]Linfei Pan, Marc Pollefeys, Dániel Baráth:
Gravity-aligned Rotation Averaging with Circular Regression. CoRR abs/2410.12763 (2024) - [i43]Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys:
DepthSplat: Connecting Gaussian Splatting and Depth. CoRR abs/2410.13862 (2024) - 2023
- [j8]Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer:
Minimal Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences. Int. J. Comput. Vis. 131(1): 324-345 (2023) - [j7]Daniel Barath:
On Making SIFT Features Affine Covariant. Int. J. Comput. Vis. 131(9): 2316-2332 (2023) - [c52]Daniel Barath, Denys Rozumnyi, Ivan Eichhardt, Levente Hajder, Jiri Matas:
Finding Geometric Models by Clustering in the Consensus Space. CVPR 2023: 5414-5424 - [c51]Ganlin Zhang, Viktor Larsson, Daniel Barath:
Revisiting Rotation Averaging: Uncertainties and Robust Losses. CVPR 2023: 17215-17224 - [c50]Rémi Pautrat, Daniel Barath, Viktor Larsson, Martin R. Oswald, Marc Pollefeys:
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. CVPR 2023: 17327-17336 - [c49]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large-Scale Homography Benchmark. CVPR 2023: 21360-21370 - [c48]Levente Hajder, Lajos Lóczi, Daniel Barath:
Fast Globally Optimal Surface Normal from an Affine Correspondence. ICCV 2023: 3367-3378 - [c47]Rémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys, Daniel Barath:
Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction. ICCV 2023: 14072-14081 - [c46]Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath:
Generalized Differentiable RANSAC. ICCV 2023: 17603-17614 - [c45]Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath:
Guiding Local Feature Matching with Surface Curvature. ICCV 2023: 17935-17945 - [c44]Tong Wei, Jirí Matas, Daniel Barath:
Adaptive Reordering Sampler with Neurally Guided MAGSAC. ICCV 2023: 18117-18127 - [c43]Jonathan Ventura, Zuzana Kukelova, Torsten Sattler, Dániel Baráth:
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. ICCV 2023: 19694-19704 - [c42]Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, Iro Armeni:
SGAligner: 3D Scene Alignment with Scene Graphs. ICCV 2023: 21870-21880 - [i42]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large Scale Homography Benchmark. CoRR abs/2302.09997 (2023) - [i41]Ganlin Zhang, Viktor Larsson, Daniel Barath:
Revisiting Rotation Averaging: Uncertainties and Robust Losses. CoRR abs/2303.05195 (2023) - [i40]Charalambos Tzamos, Daniel Barath, Torsten Sattler, Zuzana Kukelova:
Efficient solutions to the relative pose of three calibrated cameras from four points using virtual correspondences. CoRR abs/2303.16078 (2023) - [i39]Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, Iro Armeni:
SGAligner : 3D Scene Alignment with Scene Graphs. CoRR abs/2304.14880 (2023) - [i38]Shuzhe Wang, Juho Kannala, Daniel Barath:
DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. CoRR abs/2306.12547 (2023) - [i37]Luca Cavalli, Daniel Barath, Marc Pollefeys, Viktor Larsson:
Consensus-Adaptive RANSAC. CoRR abs/2307.14030 (2023) - [i36]Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys:
AffineGlue: Joint Matching and Robust Estimation. CoRR abs/2307.15381 (2023) - [i35]Rémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys, Daniel Barath:
Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction. CoRR abs/2308.10694 (2023) - [i34]Yang Miao, Iro Armeni, Marc Pollefeys, Daniel Barath:
Volumetric Semantically Consistent 3D Panoptic Mapping. CoRR abs/2309.14737 (2023) - [i33]Shengze Jin, Daniel Barath, Marc Pollefeys, Iro Armeni:
Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature. CoRR abs/2309.16023 (2023) - [i32]Petr Hruby, Shaohui Liu, Rémi Pautrat, Marc Pollefeys, Daniel Barath:
Handbook on Leveraging Lines for Two-View Relative Pose Estimation. CoRR abs/2309.16040 (2023) - 2022
- [j6]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4961-4974 (2022) - [j5]Daniel Barath, Jana Noskova, Jiri Matas:
Marginalizing Sample Consensus. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8420-8432 (2022) - [c41]Daniel Barath, Jana Noskova, Ivan Eichhardt, Jiri Matas:
Pose-graph via Adaptive Image Re-ordering. BMVC 2022: 127 - [c40]Yaqing Ding, Daniel Barath, Jian Yang, Zuzana Kukelova:
Relative Pose from a Calibrated and an Uncalibrated Smartphone Image. CVPR 2022: 12756-12765 - [c39]Daniel Barath, Luca Cavalli, Marc Pollefeys:
Learning to Find Good Models in RANSAC. CVPR 2022: 15723-15732 - [c38]Luca Cavalli, Marc Pollefeys, Daniel Barath:
NeFSAC: Neurally Filtered Minimal Samples. ECCV (32) 2022: 351-366 - [c37]Daniel Barath, Zuzana Kukelova:
Relative Pose from SIFT Features. ECCV (32) 2022: 454-469 - [c36]Daniel Barath, Gábor Valasek:
Space-Partitioning RANSAC. ECCV (32) 2022: 721-737 - [c35]Daniel Barath, Chris Sweeney:
Relative Pose Solvers using Monocular Depth. ICPR 2022: 4037-4043 - [i31]Daniel Barath, Zuzana Kukelova:
Relative Pose from SIFT Features. CoRR abs/2203.07930 (2022) - [i30]Luca Cavalli, Marc Pollefeys, Daniel Barath:
NeFSAC: Neurally Filtered Minimal Samples. CoRR abs/2207.07872 (2022) - [i29]Rémi Pautrat, Daniel Barath, Viktor Larsson, Martin R. Oswald, Marc Pollefeys:
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. CoRR abs/2212.07766 (2022) - [i28]Tong Wei, Yash Patel, Jiri Matas, Daniel Barath:
Fully Differentiable RANSAC. CoRR abs/2212.13185 (2022) - 2021
- [c34]Daniel Barath, Yaqing Ding, Zuzana Kukelova, Viktor Larsson:
Image Stitching with Locally Shared Rotation Axis. 3DV 2021: 1382-1391 - [c33]Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova:
Globally Optimal Relative Pose Estimation With Gravity Prior. CVPR 2021: 394-403 - [c32]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-Graph Generation for Global SfM. CVPR 2021: 14546-14555 - [c31]Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Minimal Solutions for Panoramic Stitching Given Gravity Prior. ICCV 2021: 5559-5568 - [c30]Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova:
Calibrated and Partially Calibrated Semi-Generalized Homographies. ICCV 2021: 5916-5925 - [c29]Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer:
Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences. ICCV 2021: 6048-6057 - [c28]Maksym Ivashechkin, Daniel Barath, Jirí Matas:
VSAC: Efficient and Accurate Estimator for H and F. ICCV 2021: 15223-15232 - [c27]Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer:
Efficient Recovery of Multi-Camera Motion from Two Affine Correspondences. ICRA 2021: 1305-1311 - [c26]Istan Gergo Gal, Daniel Barath, Levente Hajder:
Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes. ICRA 2021: 7620-7626 - [i27]Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova:
Calibrated and Partially Calibrated Semi-Generalized Homographies. CoRR abs/2103.06535 (2021) - [i26]Daniel Barath, Denys Rozumnyi, Ivan Eichhardt, Levente Hajder, Jiri Matas:
Progressive-X+: Clustering in the Consensus Space. CoRR abs/2103.13875 (2021) - [i25]Maksym Ivashechkin, Daniel Barath, Jiri Matas:
USACv20: robust essential, fundamental and homography matrix estimation. CoRR abs/2104.05044 (2021) - [i24]Maksym Ivashechkin, Daniel Barath, Jiri Matas:
VSAC: Efficient and Accurate Estimator for H and F. CoRR abs/2106.10240 (2021) - [i23]Daniel Barath, Gábor Valasek:
Space-Partitioning RANSAC. CoRR abs/2111.12385 (2021) - [i22]Wei Tong, Jiri Matas, Daniel Barath:
Deep MAGSAC++. CoRR abs/2111.14093 (2021) - 2020
- [b1]Daniel Barath:
Affine Correspondences and their Applications for Model Estimation. Eötvös Loránd University, Hungary, 2020 - [c25]Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Homography-Based Egomotion Estimation Using Gravity and SIFT Features. ACCV (1) 2020: 278-294 - [c24]Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. CVPR 2020: 1301-1309 - [c23]Tomás Hodan, Dániel Baráth, Jiri Matas:
EPOS: Estimating 6D Pose of Objects With Symmetries. CVPR 2020: 11700-11709 - [c22]Ivan Eichhardt, Daniel Barath:
Relative Pose from Deep Learned Depth and a Single Affine Correspondence. ECCV (12) 2020: 627-644 - [c21]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. ECCV (11) 2020: 723-740 - [c20]Levente Hajder, Daniel Barath:
Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. ICRA 2020: 8644-8650 - [c19]Levente Hajder, Daniel Barath:
Relative planar motion for vehicle-mounted cameras from a single affine correspondence. ICRA 2020: 8651-8657 - [i21]Tomas Hodan, Daniel Barath, Jiri Matas:
EPOS: Estimating 6D Pose of Objects with Symmetries. CoRR abs/2004.00605 (2020) - [i20]Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomás Pajdla, Zuzana Kukelova:
Making Affine Correspondences Work in Camera Geometry Computation. CoRR abs/2007.10032 (2020) - [i19]Ivan Eichhardt, Daniel Barath:
Relative Pose from Deep Learned Depth and a Single Affine Correspondence. CoRR abs/2007.10082 (2020) - [i18]Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer:
Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences. CoRR abs/2007.10700 (2020) - [i17]Istan Gergo Gal, Daniel Barath, Levente Hajder:
Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes. CoRR abs/2008.05743 (2020) - [i16]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-graph Generation for Global SfM. CoRR abs/2011.11986 (2020) - [i15]Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova:
Globally Optimal Relative Pose Estimation with Gravity Prior. CoRR abs/2012.00458 (2020) - [i14]Yaqing Ding, Daniel Barath, Zuzana Kukelova:
Minimal Solutions for Panoramic Stitching Given Gravity Prior. CoRR abs/2012.00465 (2020)
2010 – 2019
- 2019
- [j4]Daniel Barath, Ivan Eichhardt, Levente Hajder:
Optimal Multi-View Surface Normal Estimation Using Affine Correspondences. IEEE Trans. Image Process. 28(7): 3301-3311 (2019) - [c18]Ivan Eichhardt, Daniel Barath:
Optimal Multi-view Correction of Local Affine Frames. BMVC 2019: 166 - [c17]Daniel Barath, Jiri Matas, Jana Noskova:
MAGSAC: Marginalizing Sample Consensus. CVPR 2019: 10197-10205 - [c16]Dániel Baráth, Zuzana Kukelova:
Homography From Two Orientation- and Scale-Covariant Features. ICCV 2019: 1091-1099 - [c15]Dániel Baráth, Jiri Matas:
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. ICCV 2019: 3779-3787 - [i13]Ivan Eichhardt, Daniel Barath:
Optimal Multi-view Correction of Local Affine Frames. CoRR abs/1905.00519 (2019) - [i12]Daniel Barath, Jiri Matas:
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. CoRR abs/1906.02290 (2019) - [i11]Daniel Barath, Maksym Ivashechkin, Jiri Matas:
Progressive NAPSAC: sampling from gradually growing neighborhoods. CoRR abs/1906.02295 (2019) - [i10]Daniel Barath, Zuzana Kukelova:
Homography from two orientation- and scale-covariant features. CoRR abs/1906.11927 (2019) - [i9]Daniel Barath, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a fast, reliable and accurate robust estimator. CoRR abs/1912.05909 (2019) - [i8]Levente Hajder, Daniel Barath:
Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. CoRR abs/1912.06464 (2019) - [i7]Levente Hajder, Daniel Barath:
Relative planar motion for vehicle-mounted cameras from a single affine correspondence. CoRR abs/1912.06465 (2019) - 2018
- [j3]Dániel Baráth:
Efficient energy-based topological outlier rejection. Comput. Vis. Image Underst. 174: 70-81 (2018) - [j2]Daniel Barath, Levente Hajder:
Efficient Recovery of Essential Matrix From Two Affine Correspondences. IEEE Trans. Image Process. 27(11): 5328-5337 (2018) - [c14]Daniel Barath:
Recovering Affine Features from Orientation- and Scale-Invariant Ones. ACCV (1) 2018: 266-281 - [c13]Daniel Barath:
Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras. CVPR 2018: 235-243 - [c12]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC. CVPR 2018: 6733-6741 - [c11]Daniel Barath, Jiri Matas:
Multi-class Model Fitting by Energy Minimization and Mode-Seeking. ECCV (16) 2018: 229-245 - [c10]Daniel Barath:
Approximate Epipolar Geometry from Six Rotation Invariant Correspondences. VISIGRAPP (5: VISAPP) 2018: 464-471 - [i6]Daniel Barath:
Five-point Fundamental Matrix Estimation for Uncalibrated Cameras. CoRR abs/1803.00260 (2018) - [i5]Daniel Barath, Jiri Matas:
MAGSAC: marginalizing sample consensus. CoRR abs/1803.07469 (2018) - [i4]Daniel Barath:
Recovering affine features from orientation- and scale-invariant ones. CoRR abs/1807.03503 (2018) - 2017
- [j1]Daniel Barath, Levente Hajder:
A theory of point-wise homography estimation. Pattern Recognit. Lett. 94: 7-14 (2017) - [c9]Daniel Barath, Tekla Toth, Levente Hajder:
A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences. CVPR 2017: 2557-2565 - [c8]Daniel Barath:
P-HAF: Homography Estimation using Partial Local Affine Frames. VISIGRAPP (6: VISAPP) 2017: 227-235 - [i3]Daniel Barath, Jiri Matas:
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking. CoRR abs/1706.00827 (2017) - [i2]Daniel Barath, Jiri Matas:
Graph-Cut RANSAC. CoRR abs/1706.00984 (2017) - [i1]Daniel Barath, Tekla Toth, Levente Hajder:
A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences. CoRR abs/1706.01649 (2017) - 2016
- [c7]