Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics. - Luca Cavalli; Gianpaolo Di Pietro; Matteo Matteucci (CoRR, 2019)

Handcrafted Outlier Detection Revisited. - Luca Cavalli; Viktor Larsson; Martin Ralf Oswald; Torsten Sattler; Marc Pollefeys (ECCV (19), 2020)

AdaLAM: Revisiting Handcrafted Outlier Detection. - Luca Cavalli; Viktor Larsson; Martin Ralf Oswald; Torsten Sattler; Marc Pollefeys (CoRR, 2020)

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

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

RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation. - Chang Nie; Guangming Wang 001; Zhe Liu 022; Luca Cavalli; Marc Pollefeys; Hesheng Wang 001 (ICCV, 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)

fMPI: Fast Novel View Synthesis in the Wild with Layered Scene Representations. - Jonas Kohler; Nicolas Griffiths Sanchez; Luca Cavalli; Catherine Herold; Albert Pumarola; Alberto Garcia Garcia; Ali K. Thabet (CoRR, 2023)

On Priors for Robust Pose Estimation. - Luca Cavalli (2023)

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