Daniel Barath

Orcid: 0000-0002-8736-0222

According to our database1, Daniel Barath authored at least 75 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On Making SIFT Features Affine Covariant.
Int. J. Comput. Vis., September, 2023

Minimal Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences.
Int. J. Comput. Vis., 2023

Handbook on Leveraging Lines for Two-View Relative Pose Estimation.
CoRR, 2023

Q-REG: End-to-End Trainable Point Cloud Registration with Surface Curvature.
CoRR, 2023

Volumetric Semantically Consistent 3D Panoptic Mapping.
CoRR, 2023

AffineGlue: Joint Matching and Robust Estimation.
CoRR, 2023

Consensus-Adaptive RANSAC.
CoRR, 2023

DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching.
CoRR, 2023

Efficient solutions to the relative pose of three calibrated cameras from four points using virtual correspondences.
CoRR, 2023

Generalized Differentiable RANSAC.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Reordering Sampler with Neurally Guided MAGSAC.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Guiding Local Feature Matching with Surface Curvature.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

P1AC: Revisiting Absolute Pose From a Single Affine Correspondence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SGAligner: 3D Scene Alignment with Scene Graphs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fast Globally Optimal Surface Normal from an Affine Correspondence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Revisiting Rotation Averaging: Uncertainties and Robust Losses.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Finding Geometric Models by Clustering in the Consensus Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Large-Scale Homography Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Marginalizing Sample Consensus.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Fully Differentiable RANSAC.
CoRR, 2022

Relative Pose Solvers using Monocular Depth.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

NeFSAC: Neurally Filtered Minimal Samples.
Proceedings of the Computer Vision - ECCV 2022, 2022

Space-Partitioning RANSAC.
Proceedings of the Computer Vision - ECCV 2022, 2022

Relative Pose from SIFT Features.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Find Good Models in RANSAC.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Relative Pose from a Calibrated and an Uncalibrated Smartphone Image.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pose-graph via Adaptive Image Re-ordering.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Deep MAGSAC++.
CoRR, 2021

USACv20: robust essential, fundamental and homography matrix estimation.
CoRR, 2021

Progressive-X+: Clustering in the Consensus Space.
CoRR, 2021

Efficient Recovery of Multi-Camera Motion from Two Affine Correspondences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Pose Estimation for Vehicle-mounted Cameras via Horizontal and Vertical Planes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

VSAC: Efficient and Accurate Estimator for H and F.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Minimal Solutions for Panoramic Stitching Given Gravity Prior.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Calibrated and Partially Calibrated Semi-Generalized Homographies.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Globally Optimal Relative Pose Estimation With Gravity Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Efficient Initial Pose-Graph Generation for Global SfM.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Image Stitching with Locally Shared Rotation Axis.
Proceedings of the International Conference on 3D Vision, 2021

2020
Affine Correspondences and their Applications for Model Estimation
PhD thesis, 2020

Relative Pose Estimation for Multi-Camera Systems from Affine Correspondences.
CoRR, 2020

Relative planar motion for vehicle-mounted cameras from a single affine correspondence.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Relative Pose from Deep Learned Depth and a Single Affine Correspondence.
Proceedings of the Computer Vision - ECCV 2020, 2020

Making Affine Correspondences Work in Camera Geometry Computation.
Proceedings of the Computer Vision - ECCV 2020, 2020

EPOS: Estimating 6D Pose of Objects With Symmetries.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

MAGSAC++, a Fast, Reliable and Accurate Robust Estimator.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Homography-Based Egomotion Estimation Using Gravity and SIFT Features.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Optimal Multi-View Surface Normal Estimation Using Affine Correspondences.
IEEE Trans. Image Process., 2019

Progressive NAPSAC: sampling from gradually growing neighborhoods.
CoRR, 2019

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Homography From Two Orientation- and Scale-Covariant Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

MAGSAC: Marginalizing Sample Consensus.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Optimal Multi-view Correction of Local Affine Frames.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Efficient Recovery of Essential Matrix From Two Affine Correspondences.
IEEE Trans. Image Process., 2018

Efficient energy-based topological outlier rejection.
Comput. Vis. Image Underst., 2018

MAGSAC: marginalizing sample consensus.
CoRR, 2018

Approximate Epipolar Geometry from Six Rotation Invariant Correspondences.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Multi-class Model Fitting by Energy Minimization and Mode-Seeking.
Proceedings of the Computer Vision - ECCV 2018, 2018

Graph-Cut RANSAC.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recovering Affine Features from Orientation- and Scale-Invariant Ones.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
A theory of point-wise homography estimation.
Pattern Recognit. Lett., 2017

P-HAF: Homography Estimation using Partial Local Affine Frames.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Novel Ways to Estimate Homography from Local Affine Transformations.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

A Novel Technique for Point-wise Surface Normal Estimation.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Energy-based topological outlier filtering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multi-H: Efficient recovery of tangent planes in stereo images.
Proceedings of the British Machine Vision Conference 2016, 2016

Accurate Closed-form Estimation of Local Affine Transformations Consistent with the Epipolar Geometry.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Optimal Surface Normal from Affine Transformation.
Proceedings of the VISAPP 2015, 2015

Novel Methods for Estimating Surface Normals from Affine Transformations.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2015


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