Luca Cosmo | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Learning Spectral Unions of Partial Deformable 3D Shapes	Computer Graphics Forum	2022
Learning disentangled representations via product manifold projection	Proceedings of the 38th International Conference on Machine Learning	2021
Universal Spectral Adversarial Attacks for Deformable Shapes	Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)	2021
Shape Registration in the Time of Transformers	Advances in Neural Information Processing Systems 34 pre-proceedings (NeurIPS 2021)	2021
LIMP: Learning Latent Shape Representations with Metric Preservation Priors	Lecture Notes in Computer Science	2020
Generating Adversarial Surfaces via Band-Limited Perturbations	COMPUTER GRAPHICS FORUM	2020
A parametric analysis of discrete Hamiltonian functional maps	COMPUTER GRAPHICS FORUM	2020
Spatial Maps: from low rank spectral to sparse spatial functional representations	Proceedings - 2017 International Conference on 3D Vision, 3DV 2017	2018
Consistent partial matching of shape collections via Sparse Modeling	COMPUTER GRAPHICS FORUM	2017
Partial functional correspondence	COMPUTER GRAPHICS FORUM	2017
A game-theoretical approach for joint matching of multiple feature throughout unordered images	Proceedings - International Conference on Pattern Recognition	2017
SHREC'17: deformable shape retrieval with missing parts	Eurographics Workshop on 3D Object Retrieval	2017
SHREC'16: matching of deformable shapes with topological noise	Eurographics Workshop on 3D Object Retrieval, EG 3DOR	2016
SHREC'16: partial matching of deformable shapes	Eurographics Workshop on 3D Object Retrieval, EG 3DOR	2016
Matching deformable objects in clutter	Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016	2016
An accurate and robust artificial marker based on cyclic codes	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE	2016
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition	2015