Novel Methods for Estimating Surface Normals from Affine Transformations. - Daniel Barath; József Molnár; Levente Hajder (VISIGRAPP (Selected Papers), 2015)

Optimal Surface Normal from Affine Transformation. - Daniel Barath; József Molnár; Levente Hajder (VISAPP (3), 2015)

Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry. - Daniel Barath; Jiri Matas; Levente Hajder (BMVC, 2016)

Multi-H: Efficient recovery of tangent planes in stereo images. - Daniel Barath; Jiri Matas; Levente Hajder (BMVC, 2016)

Energy-based topological outlier filtering. - Daniel Barath; Levente Hajder (ICPR, 2016)

A Novel Technique for Point-wise Surface Normal Estimation. - Daniel Barath; Ivan Eichhardt (VISIGRAPP (3: VISAPP), 2016)

Novel Ways to Estimate Homography from Local Affine Transformations. - Daniel Barath; Levente Hajder (VISIGRAPP (3: VISAPP), 2016)

A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences. - Daniel Barath; Tekla Toth; Levente Hajder (CVPR, 2017)

P-HAF: Homography Estimation using Partial Local Affine Frames. - Daniel Barath (VISIGRAPP (6: VISAPP), 2017)

A theory of point-wise homography estimation. - Daniel Barath; Levente Hajder (Pattern Recognit. Lett., 2017)

Recovering Affine Features from Orientation- and Scale-Invariant Ones. - Daniel Barath (ACCV (1), 2018)

Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras. - Daniel Barath (CVPR, 2018)

Graph-Cut RANSAC. - Daniel Barath; Jiri Matas (CVPR, 2018)

Multi-class Model Fitting by Energy Minimization and Mode-Seeking. - Daniel Barath; Jiri Matas (ECCV (16), 2018)

Approximate Epipolar Geometry from Six Rotation Invariant Correspondences. - Daniel Barath (VISIGRAPP (5: VISAPP), 2018)

MAGSAC: marginalizing sample consensus. - Daniel Barath; Jiri Matas (CoRR, 2018)

Efficient energy-based topological outlier rejection. - Dániel Baráth (Comput. Vis. Image Underst., 2018)

Efficient Recovery of Essential Matrix From Two Affine Correspondences. - Daniel Barath; Levente Hajder (IEEE Trans. Image Process., 2018)

Optimal Multi-view Correction of Local Affine Frames. - Ivan Eichhardt; Daniel Barath (BMVC, 2019)

MAGSAC: Marginalizing Sample Consensus. - Daniel Barath; Jiri Matas; Jana Noskova (CVPR, 2019)

Homography From Two Orientation- and Scale-Covariant Features. - Dániel Baráth; Zuzana Kukelova (ICCV, 2019)

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm. - Dániel Baráth; Jiri Matas (ICCV, 2019)

Progressive NAPSAC: sampling from gradually growing neighborhoods. - Daniel Barath; Maksym Ivashechkin; Jiri Matas (CoRR, 2019)

Optimal Multi-View Surface Normal Estimation Using Affine Correspondences. - Daniel Barath; Ivan Eichhardt; Levente Hajder (IEEE Trans. Image Process., 2019)

Homography-Based Egomotion Estimation Using Gravity and SIFT Features. - Yaqing Ding 001; Daniel Barath; Zuzana Kukelova (ACCV (1), 2020)

MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. - Dániel Baráth; Jana Noskova; Maksym Ivashechkin; Jiri Matas (CVPR, 2020)

EPOS: Estimating 6D Pose of Objects With Symmetries. - Tomás Hodan; Dániel Baráth; Jiri Matas (CVPR, 2020)

Making Affine Correspondences Work in Camera Geometry Computation. - Daniel Barath; Michal Polic; Wolfgang Förstner; Torsten Sattler; Tomás Pajdla; Zuzana Kukelova (ECCV (11), 2020)

Relative Pose from Deep Learned Depth and a Single Affine Correspondence. - Ivan Eichhardt; Daniel Barath (ECCV (12), 2020)

Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras. - Levente Hajder; Daniel Barath (ICRA, 2020)

Relative planar motion for vehicle-mounted cameras from a single affine correspondence. - Levente Hajder; Daniel Barath (ICRA, 2020)

Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences. - Banglei Guan; Ji Zhao 001; Daniel Barath; Friedrich Fraundorfer (CoRR, 2020)

Affine Correspondences and their Applications for Model Estimation - Daniel Barath (2020)

Image Stitching with Locally Shared Rotation Axis. - Daniel Barath; Yaqing Ding 001; Zuzana Kukelova; Viktor Larsson (3DV, 2021)

Efficient Initial Pose-Graph Generation for Global SfM. - Daniel Barath; Dmytro Mishkin; Ivan Eichhardt; Ilia Shipachev; Jiri Matas (CVPR, 2021)

Globally Optimal Relative Pose Estimation With Gravity Prior. - Yaqing Ding 001; Daniel Barath; Jian Yang 003; Hui Kong 001; Zuzana Kukelova (CVPR, 2021)

Calibrated and Partially Calibrated Semi-Generalized Homographies. - Snehal Bhayani; Torsten Sattler; Daniel Barath; Patrik Beliansky; Janne Heikkilä; Zuzana Kukelova (ICCV, 2021)

Minimal Solutions for Panoramic Stitching Given Gravity Prior. - Yaqing Ding 001; Daniel Barath; Zuzana Kukelova (ICCV, 2021)

Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences. - Banglei Guan; Ji Zhao 001; Daniel Barath; Friedrich Fraundorfer (ICCV, 2021)

VSAC: Efficient and Accurate Estimator for H and F. - Maksym Ivashechkin; Daniel Barath; Jirí Matas (ICCV, 2021)

Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes. - Istan Gergo Gal; Daniel Barath; Levente Hajder (ICRA, 2021)

Efficient Recovery of Multi-Camera Motion from Two Affine Correspondences. - Banglei Guan; Ji Zhao 001; Daniel Barath; Friedrich Fraundorfer (ICRA, 2021)

Progressive-X+: Clustering in the Consensus Space. - Daniel Barath; Denys Rozumnyi; Ivan Eichhardt; Levente Hajder; Jiri Matas (CoRR, 2021)

USACv20: robust essential, fundamental and homography matrix estimation. - Maksym Ivashechkin; Daniel Barath; Jiri Matas (CoRR, 2021)

Deep MAGSAC++. - Wei Tong; Jiri Matas; Daniel Barath (CoRR, 2021)

Pose-graph via Adaptive Image Re-ordering. - Daniel Barath; Jana Noskova; Ivan Eichhardt; Jiri Matas (BMVC, 2022)

Relative Pose from a Calibrated and an Uncalibrated Smartphone Image. - Yaqing Ding 001; Daniel Barath; Jian Yang 003; Zuzana Kukelova (CVPR, 2022)

Learning to Find Good Models in RANSAC. - Daniel Barath; Luca Cavalli; Marc Pollefeys (CVPR, 2022)

Relative Pose from SIFT Features. - Daniel Barath; Zuzana Kukelova (ECCV (32), 2022)

Space-Partitioning RANSAC. - Daniel Barath; Gábor Valasek (ECCV (32), 2022)

NeFSAC: Neurally Filtered Minimal Samples. - Luca Cavalli; Marc Pollefeys; Daniel Barath (ECCV (32), 2022)

Relative Pose Solvers using Monocular Depth. - Daniel Barath; Chris Sweeney (ICPR, 2022)

Fully Differentiable RANSAC. - Tong Wei 002; Yash Patel; Jiri Matas; Daniel Barath (CoRR, 2022)

Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures. - Daniel Barath; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Marginalizing Sample Consensus. - Daniel Barath; Jana Noskova; Jiri Matas (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Large-Scale Homography Benchmark. - Daniel Barath; Dmytro Mishkin; Michal Polic; Wolfgang Förstner; Jiri Matas (CVPR, 2023)

Finding Geometric Models by Clustering in the Consensus Space. - Daniel Barath; Denys Rozumnyi; Ivan Eichhardt; Levente Hajder; Jiri Matas (CVPR, 2023)

DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. - Rémi Pautrat; Daniel Barath; Viktor Larsson; Martin R. Oswald; Marc Pollefeys (CVPR, 2023)

Revisiting Rotation Averaging: Uncertainties and Robust Losses. - Ganlin Zhang; Viktor Larsson; Daniel Barath (CVPR, 2023)

Fast Globally Optimal Surface Normal from an Affine Correspondence. - Levente Hajder; Lajos Lóczi; Daniel Barath (ICCV, 2023)

Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction. - Rémi Pautrat; Shaohui Liu; Petr Hruby; Marc Pollefeys; Daniel Barath (ICCV, 2023)

SGAligner: 3D Scene Alignment with Scene Graphs. - Sayan Deb Sarkar; Ondrej Miksik; Marc Pollefeys; Daniel Barath; Iro Armeni (ICCV, 2023)

P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. - Jonathan Ventura; Zuzana Kukelova; Torsten Sattler; Dániel Baráth (ICCV, 2023)

Guiding Local Feature Matching with Surface Curvature. - Shuzhe Wang; Juho Kannala; Marc Pollefeys; Daniel Barath (ICCV, 2023)

Adaptive Reordering Sampler with Neurally Guided MAGSAC. - Tong Wei 002; Jirí Matas; Daniel Barath (ICCV, 2023)

Generalized Differentiable RANSAC. - Tong Wei 002; Yash Patel; Alexander Shekhovtsov; Jirí Matas; Daniel Barath (ICCV, 2023)

Efficient solutions to the relative pose of three calibrated cameras from four points using virtual correspondences. - Charalambos Tzamos; Daniel Barath; Torsten Sattler; Zuzana Kukelova (CoRR, 2023)

DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. - Shuzhe Wang; Juho Kannala; Daniel Barath (CoRR, 2023)

Consensus-Adaptive RANSAC. - Luca Cavalli; Daniel Barath; Marc Pollefeys; Viktor Larsson (CoRR, 2023)

AffineGlue: Joint Matching and Robust Estimation. - Daniel Barath; Dmytro Mishkin; Luca Cavalli; Paul-Edouard Sarlin; Petr Hruby; Marc Pollefeys (CoRR, 2023)

Minimal Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences. - Banglei Guan; Ji Zhao 001; Daniel Barath; Friedrich Fraundorfer (Int. J. Comput. Vis., 2023)

On Making SIFT Features Affine Covariant. - Daniel Barath (Int. J. Comput. Vis., 2023)

Handbook on Leveraging Lines for Two-View Relative Pose Estimation. - Petr Hruby; Shaohui Liu; Rémi Pautrat; Marc Pollefeys; Daniel Barath (3DV, 2024)

Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature. - Shengze Jin; Daniel Barath; Marc Pollefeys; Iro Armeni (3DV, 2024)

Multiway Point Cloud Mosaicking with Diffusion and Global Optimization. - Shengze Jin; Iro Armeni; Marc Pollefeys; Dániel Baráth (CVPR, 2024)

Absolute Pose from One or Two Scaled and Oriented Features. - Jonathan Ventura; Zuzana Kukelova; Torsten Sattler; Dániel Baráth (CVPR, 2024)

DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching. - Shuzhe Wang; Juho Kannala; Daniel Barath (CVPR, 2024)

StereoGlue: Robust Estimation with Single-Point Solvers. - Daniel Barath; Dmytro Mishkin; Luca Cavalli; Paul-Edouard Sarlin; Petr Hruby; Marc Pollefeys (ECCV (57), 2024)

"Where am I?" Scene Retrieval with Language. - Jiaqi Chen; Daniel Barath; Iro Armeni; Marc Pollefeys; Hermann Blum (ECCV (37), 2024)

Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization Using Geometrical Information. - Luca Di Giammarino; Boyang Sun; Giorgio Grisetti; Marc Pollefeys; Hermann Blum; Daniel Barath (ECCV (86), 2024)

Semicalibrated Relative Pose from an Affine Correspondence and Monodepth. - Petr Hruby; Marc Pollefeys; Daniel Barath (ECCV (40), 2024)

Learning to Make Keypoints Sub-pixel Accurate. - Shinjeong Kim; Marc Pollefeys; Daniel Barath (ECCV (78), 2024)

SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs. - Yang Miao; Francis Engelmann; Olga Vysotska; Federico Tombari; Marc Pollefeys; Dániel Béla Baráth (ECCV (8), 2024)

Global Structure-from-Motion Revisited. - Linfei Pan; Dániel Baráth; Marc Pollefeys; Johannes L. Schönberger (ECCV (40), 2024)

Gravity-Aligned Rotation Averaging with Circular Regression. - Linfei Pan; Marc Pollefeys; Dániel Baráth (ECCV (40), 2024)

MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps. - Jianhao Zheng; Daniel Barath; Marc Pollefeys; Iro Armeni (ECCV (39), 2024)

Semantically Guided Feature Matching for Visual SLAM. - Oguzhan Ilter; Iro Armeni; Marc Pollefeys; Daniel Barath (ICRA, 2024)

Volumetric Semantically Consistent 3D Panoptic Mapping. - Yang Miao; Iro Armeni; Marc Pollefeys; Daniel Barath (IROS, 2024)

Breaking the Frame: Image Retrieval by Visual Overlap Prediction. - Tong Wei 002; Philipp Lindenberger; Jiri Matas; Daniel Barath (CoRR, 2024)

Learning to Filter Outlier Edges in Global SfM. - Nicole Damblon; Marc Pollefeys; Daniel Barath (CVPR, 2025)

CrossOver: 3D Scene Cross-Modal Alignment. - Sayan Deb Sarkar; Ondrej Miksik; Marc Pollefeys; Daniel Barath; Iro Armeni (CVPR, 2025)

Learning Affine Correspondences by Integrating Geometric Constraints. - Pengju Sun; Banglei Guan; Zhenbao Yu; Yang Shang; Qifeng Yu; Daniel Barath (CVPR, 2025)

Practical Solutions to the Relative Pose of Three Calibrated Cameras. - Charalambos Tzamos; Viktor Kocur; Yaqing Ding 001; Daniel Barath; Zuzana Berger Haladová; Torsten Sattler; Zuzana Kukelova (CVPR, 2025)

DepthSplat: Connecting Gaussian Splatting and Depth. - Haofei Xu; Songyou Peng; Fangjinhua Wang; Hermann Blum; Daniel Barath; Andreas Geiger 001; Marc Pollefeys (CVPR, 2025)

Breaking the Frame: Visual Place Recognition by Overlap Prediction. - Tong Wei 002; Philipp Lindenberger; Jirí Matas; Daniel Barath (WACV, 2025)

Multi-HexPlanes: A Lightweight Map Representation for Rendering and 3D Reconstruction. - Jianhao Zheng; Gábor Valasek; Daniel Barath; Iro Armeni (WACV, 2025)

Robust Human Registration with Body Part Segmentation on Noisy Point Clouds. - Kai Lascheit; Daniel Barath; Marc Pollefeys; Leonidas J. Guibas; Francis Engelmann (CoRR, 2025)

Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations. - Gaia Di Lorenzo; Federico Tombari; Marc Pollefeys; Daniel Barath (CoRR, 2025)

SupeRANSAC: One RANSAC to Rule Them All. - Daniel Barath (CoRR, 2025)

Generalized Relative Pose and Scale from Affine Correspondences. - Wanting Xu; Xinyue Zhang; Marc Pollefeys; Daniel Barath; Laurent Kneip (Int. J. Comput. Vis., 2025)