DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. - Andreas Kuhn 005; Christian Sormann; Mattia Rossi; Oliver Erdler; Friedrich Fraundorfer (3DV, 2020)

BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. - Christian Sormann; Patrick Knöbelreiter; Andreas Kuhn 005; Mattia Rossi; Thomas Pock; Friedrich Fraundorfer (3DV, 2020)

Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems. - Patrick Knöbelreiter; Christian Sormann; Alexander Shekhovtsov; Friedrich Fraundorfer; Thomas Pock (CVPR, 2020)

IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. - Christian Sormann; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (BMVC, 2021)

MD-Net: Multi-Detector for Local Feature Extraction. - Emanuele Santellani; Christian Sormann; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (ICPR, 2022)

S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction. - Emanuele Santellani; Christian Sormann; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (ICCV, 2023)

DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. - Christian Sormann; Emanuele Santellani; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (WACV, 2023)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. - Emanuele Santellani; Martin Zach; Christian Sormann; Mattia Rossi; Andreas Kuhn 002; Friedrich Fraundorfer (ECCV (77), 2024)

GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. - Emanuele Santellani; Martin Zach; Christian Sormann; Mattia Rossi; Andreas Kuhn 005; Friedrich Fraundorfer (CoRR, 2024)