ETH Zürich Universitätstrasse 6 CH-8092 Zürich

Department of Computer Science Computer Vision and Geometry Group CNB G 103.2]

dbarath@inf.ethz.ch

Publications

Please see my Google Scholar pages.

News

June 2024: Nine papers accepted to ECCV 2024

  1. Jiaqi Chen, D. Barath, I. Armeni, M. Pollefeys, Hermann Blum,
    "Where am I?" Scene Retrieval with Language, ECCV 2024.

  2. Jianhao Zheng, D. Barath, M. Pollefeys, I. Armeni,
    MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps, ECCV 2024.

  3. P. Hubry, M. Pollefeys, D. Barath,
    Semicalibrated Relative Pose from an Affine Correspondence and Monodepth, ECCV 2024.

  4. L. Pan, J. Schönberger, D. Barath, M. Pollefeys,
    Global Structure-from-Motion Revisited, ECCV 2024.

  5. L. Pan, M. Pollefeys, D. Barath,
    Gravity-aligned Rotation Averaging with Circular Regression, ECCV 2024.

  6. D. Barath, D. Mishkin, L. Cavalli, P-E. Sarlin, P. Hubry, M. Pollefeys,
    StereoGlue: Joint Feature Matching and Robust Estimation, ECCV 2024.

  7. S. Kim, M. Pollefeys, D. Barath,
    Learning to Find Sub-Pixel Accurate Keypoints, ECCV 2024.

  8. L. Di Giammarino, B. Sun, M. Pollefeys, G. Grisetti, H. Blum, D. Barath,
    Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information, ECCV 2024.

  9. Y. Miao, F. Engelmann, O. Vysotksa, F. Tombari, M. Pollefeys, D. Barath, SceneGraphLoc: CrossModal Coarse Visual Localization on 3D Scene Graphs, ECCV 2024

June 2024: Accepted paper to IROS 2024:

  1. M. Yang, I. Armeni, M. Pollefeys, D. Barath, Volumetric Semantically Consistent 3D Panoptic Mapping, IROS 2024

February 2023: Three papers accepted to CVPR 2024

  1. S. Jin, I. Armeni, M. Pollefeys, D. Barath,
    Multiway Point Cloud Mosaicking with Diffusion and Global Optimization, CVPR 2024.

  2. S. Wang, J. Kannala, D. Barath,
    DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching, CVPR 2024.

  3. J. Ventura, Z. Kukelova, T. Sattler, D. Barath,
    Absolute Pose from One or Two Scaled and Oriented Features, CVPR 2024.

June 2023: Seven papers accepted to ICCV 2023

  1. T. Wei, Y. Patel, A. Shekhovtsov, J. Matas, D. Barath,
    Generalized Differentiable RANSAC, ICCV 2023.

  2. T. Wei, J. Matas, D. Barath,
    Adaptive Reordering Sampler with Neurally Guided MAGSAC, ICCV 2023.

  3. L. Hajder, D. Barath, L. Lóczi,
    Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence, ICCV 2023.

  4. J. Ventura, Z. Kukelova, T. Sattler, D. Barath,
    P1AC: Revisiting Absolute Pose From a Single Affine Correspondence, ICCV 2023.

  5. S. D. Sarkar, O. Miksik, M. Pollefeys, D. Barath, I. Armeni,
    SGAligner: 3D Scene Alignment with Scene Graphs, ICCV 2023.

  6. S. Wang, J. Kannala, M. Pollefeys, D. Barath,
    Guiding Local Feature Matching with Surface Curvature, ICCV 2023.

  7. R. Pautrat, S. Liu, P. Hruby, M. Pollefeys, D. Barath,
    Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction, ICCV 2023.

February 2023: Four papers accepted to CVPR 2023

  1. D. Barath, D. Rozumnyi, I. Eichhardt, L. Hajder, J. Matas,
    Finding Geometric Models by Clustering in the Consensus Space, CVPR 2023.

  2. G. Zhang, V. Larsson, D. Barath,
    Revisiting Rotation Averaging: Uncertainties and Robust Losses, CVPR 2023.

  3. D. Barath, D. Mishkin, M. Polic, W. Förstner, J. Matas,
    A Large-Scale Homography Benchmark, CVPR 2023.

  4. R. Pautrat, D. Barath, V. Larsson, M. R. Oswald, M. Pollefeys,
    DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients, CVPR 2023.

  • March 2022: Two papers accepted to CVPR 2022.
  • July 2021: "Marginalizing sample consensus" is accepted to PAMI
  • July 2021: Two papers accepted to ICRA 2021
  • July 2021: Four papers accepted to ICCV 2021
  • March 2021: "Graph-Cut RANSAC: Local optimization on spatially coherent structures" is accepted to PAMI
  • March 2021: Two papers accepted to CVPR 2021
  • February 2021: Started postdoc at CVG.