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Luca Cavalli
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Books and Theses
- 2023
- [b1]Luca Cavalli:
On Priors for Robust Pose Estimation. ETH Zurich, Zürich, Switzerland, 2023
Conference and Workshop Papers
- 2023
- [c4]Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang:
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation. ICCV 2023: 9857-9866 - 2022
- [c3]Daniel Barath, Luca Cavalli, Marc Pollefeys
:
Learning to Find Good Models in RANSAC. CVPR 2022: 15723-15732 - [c2]Luca Cavalli
, Marc Pollefeys
, Daniel Barath
:
NeFSAC: Neurally Filtered Minimal Samples. ECCV (32) 2022: 351-366 - 2020
- [c1]Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys
:
Handcrafted Outlier Detection Revisited. ECCV (19) 2020: 770-787
Informal and Other Publications
- 2023
- [i7]Luca Cavalli, Daniel Barath, Marc Pollefeys, Viktor Larsson:
Consensus-Adaptive RANSAC. CoRR abs/2307.14030 (2023) - [i6]Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys:
AffineGlue: Joint Matching and Robust Estimation. CoRR abs/2307.15381 (2023) - [i5]Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang:
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation. CoRR abs/2308.05318 (2023) - [i4]Jonas Kohler, Nicolas Griffiths Sanchez, Luca Cavalli, Catherine Herold, Albert Pumarola, Alberto Garcia Garcia, Ali K. Thabet:
fMPI: Fast Novel View Synthesis in the Wild with Layered Scene Representations. CoRR abs/2312.16109 (2023) - 2022
- [i3]Luca Cavalli, Marc Pollefeys
, Daniel Barath:
NeFSAC: Neurally Filtered Minimal Samples. CoRR abs/2207.07872 (2022) - 2020
- [i2]Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys:
AdaLAM: Revisiting Handcrafted Outlier Detection. CoRR abs/2006.04250 (2020) - 2019
- [i1]Luca Cavalli, Gianpaolo Di Pietro, Matteo Matteucci:
Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics. CoRR abs/1907.04761 (2019)
Coauthor Index
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