Daniel Barath

42

Papers

11

Total Citations

Papers (42)

CrossOver: 3D Scene Cross-Modal Alignment

Learning Affine Correspondences by Integrating Geometric Constraints

Learning to Filter Outlier Edges in Global SfM

HouseTour: A Virtual Real Estate A(I)gent

Planar Affine Rectification from Local Change of Scale and Orientation

Hierarchical 3D Scene Graphs Construction Outdoors

Absolute Pose from One or Two Scaled and Oriented Features

DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching

Multiway Point Cloud Mosaicking with Diffusion and Global Optimization

A Minimal Solution for Two-View Focal-Length Estimation Using Two Affine Correspondences

Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras

Graph-Cut RANSAC

MAGSAC: Marginalizing Sample Consensus

MAGSAC++, a Fast, Reliable and Accurate Robust Estimator

EPOS: Estimating 6D Pose of Objects With Symmetries

Globally Optimal Relative Pose Estimation With Gravity Prior

Efficient Initial Pose-Graph Generation for Global SfM

Relative Pose From a Calibrated and an Uncalibrated Smartphone Image

Learning To Find Good Models in RANSAC

Finding Geometric Models by Clustering in the Consensus Space

Revisiting Rotation Averaging: Uncertainties and Robust Losses

DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients

A Large-Scale Homography Benchmark

Homography From Two Orientation- and Scale-Covariant Features

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

Minimal Solutions for Panoramic Stitching Given Gravity Prior

VSAC: Efficient and Accurate Estimator for H and F

Calibrated and Partially Calibrated Semi-Generalized Homographies

Minimal Cases for Computing the Generalized Relative Pose Using Affine Correspondences

Generalized Differentiable RANSAC

Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence

SGAligner: 3D Scene Alignment with Scene Graphs

Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction

Adaptive Reordering Sampler with Neurally Guided MAGSAC

Guiding Local Feature Matching with Surface Curvature

Making Affine Correspondences Work in Camera Geometry Computation

Relative Pose from Deep Learned Depth and a Single Affine Correspondence

NeFSAC: Neurally Filtered Minimal Samples

Relative Pose from SIFT Features

Practical Solutions to the Relative Pose of Three Calibrated Cameras

Space-Partitioning RANSAC

DepthSplat: Connecting Gaussian Splatting and Depth