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Luca Cosmo
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2020 – today
- 2024
- [j14]Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello:
GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. Pattern Recognit. 148: 110210 (2024) - [c38]Mohammad Zohaib, Luca Cosmo, Alessio Del Bue:
SelfGeo: Self-supervised and Geodesic-Consistent Estimation of Keypoints on Deformable Shapes. ECCV (85) 2024: 71-88 - [c37]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. ICASSP 2024: 6980-6984 - [c36]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. ICLR 2024 - [c35]Lingfeng Zhang, Luca Cosmo, Giorgia Minello, Andrea Torsello, Luca Rossi:
GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel. ICPR (4) 2024: 435-450 - [i21]Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello:
GNN-LoFI: a Novel Graph Neural Network through Localized Feature-based Histogram Intersection. CoRR abs/2401.09193 (2024) - [i20]Giorgia Minello, Alessandro Bicciato, Luca Rossi, Andrea Torsello, Luca Cosmo:
Graph Generation via Spectral Diffusion. CoRR abs/2402.18974 (2024) - [i19]Emilian Postolache, Giorgio Mariani, Luca Cosmo, Emmanouil Benetos, Emanuele Rodolà:
Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models. CoRR abs/2403.11706 (2024) - [i18]Ruben Ciranni, Emilian Postolache, Giorgio Mariani, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations. CoRR abs/2404.16969 (2024) - [i17]Mohammad Zohaib, Luca Cosmo, Alessio Del Bue:
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes. CoRR abs/2408.02291 (2024) - 2023
- [j13]Kamilia Zaripova, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Nassir Navab:
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. Medical Image Anal. 88: 102839 (2023) - [j12]Tomer Weiss, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex M. Bronstein, Renana Gershoni-Poranne:
Guided diffusion for inverse molecular design. Nat. Comput. Sci. 3(10): 873-882 (2023) - [j11]Anees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) for Graph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1606-1617 (2023) - [c34]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. AAAI 2023: 9444-9452 - [i16]Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Latent Autoregressive Source Separation. CoRR abs/2301.08562 (2023) - [i15]Giorgio Mariani, Irene Tallini, Emilian Postolache, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation. CoRR abs/2302.02257 (2023) - 2022
- [j10]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41(2): 407-417 (2022) - [j9]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. Int. J. Comput. Vis. 130(6): 1474-1493 (2022) - [c33]Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CVPR 2022: 11747-11757 - [c32]Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin:
Inverse Computational Spectral Geometry. Eurographics (Tutorials) 2022 - [c31]Alessandro Bicciato, Luca Cosmo, Giorgia Minello, Luca Rossi, Andrea Torsello:
Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment. S+SSPR 2022: 43-53 - [i14]Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari:
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. CoRR abs/2202.01537 (2022) - [i13]Kamilia Mullakaeva, Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications. CoRR abs/2204.00323 (2022) - [i12]Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà:
Harnessing spectral representations for subgraph alignment. CoRR abs/2205.14938 (2022) - 2021
- [c30]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CVPR 2021: 3216-3226 - [c29]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. ICML 2021: 3530-3540 - [c28]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape Registration in the Time of Transformers. NeurIPS 2021: 5731-5744 - [i11]Marco Fumero, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Learning disentangled representations via product manifold projection. CoRR abs/2103.01638 (2021) - [i10]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. CoRR abs/2104.00514 (2021) - [i9]Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà:
Universal Spectral Adversarial Attacks for Deformable Shapes. CoRR abs/2104.03356 (2021) - [i8]Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà:
Shape registration in the time of transformers. CoRR abs/2106.13679 (2021) - [i7]Michele Mancusi, Emilian Postolache, Marco Fumero, Andrea Santilli, Luca Cosmo, Emanuele Rodolà:
Unsupervised Source Separation via Bayesian Inference in the Latent Domain. CoRR abs/2110.05313 (2021) - [i6]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Emanuele Rodolà, Luca Rossi, Andrea Torsello:
Graph Kernel Neural Networks. CoRR abs/2112.07436 (2021) - 2020
- [j8]Emilian Postolache, Marco Fumero, Luca Cosmo, Emanuele Rodolà:
A parametric analysis of discrete Hamiltonian functional maps. Comput. Graph. Forum 39(5): 103-118 (2020) - [j7]Giorgio Mariani, Luca Cosmo, Alexander M. Bronstein, Emanuele Rodolà:
Generating Adversarial Surfaces via Band-Limited Perturbations. Comput. Graph. Forum 39(5): 253-264 (2020) - [c27]Luca Cosmo, Giorgia Minello, Michael M. Bronstein, Luca Rossi, Andrea Torsello:
The Average Mixing Kernel Signature. ECCV (20) 2020: 1-17 - [c26]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) 2020: 19-35 - [c25]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent-Graph Learning for Disease Prediction. MICCAI (2) 2020: 643-653 - [i5]Anees Kazi, Luca Cosmo, Nassir Navab, Michael M. Bronstein:
Differentiable Graph Module (DGM) Graph Convolutional Networks. CoRR abs/2002.04999 (2020) - [i4]Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà:
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR abs/2003.12283 (2020) - [i3]Luca Cosmo, Anees Kazi, Seyed-Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein:
Latent Patient Network Learning for Automatic Diagnosis. CoRR abs/2003.13620 (2020)
2010 – 2019
- 2019
- [c24]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or How to Hear Shape, Style, and Correspondence. CVPR 2019: 7529-7538 - [c23]Mara Pistellato, Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Gasparetto, Andrea Torsello:
Stochastic Phase Estimation and Unwrapping. ICPRAM 2019: 200-209 - 2018
- [c22]Andrea Gasparetto, Dalila Ressi, Filippo Bergamasco, Mara Pistellato, Luca Cosmo, Marco Boschetti, Enrico Ursella, Andrea Albarelli:
Cross-Dataset Data Augmentation for Convolutional Neural Networks Training. ICPR 2018: 910-915 - [c21]Mara Pistellato, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto, Andrea Albarelli:
Adaptive Albedo Compensation for Accurate Phase-Shift Coding. ICPR 2018: 2450-2455 - [c20]Mara Pistellato, Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Dalila Ressi, Andrea Albarelli:
Neighborhood-Based Recovery of Phase Unwrapping Faults. ICPR 2018: 2462-2467 - [i2]Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà:
Isospectralization, or how to hear shape, style, and correspondence. CoRR abs/1811.11465 (2018) - 2017
- [j6]Luca Cosmo, Emanuele Rodolà, Andrea Albarelli, Facundo Mémoli, Daniel Cremers:
Consistent Partial Matching of Shape Collections via Sparse Modeling. Comput. Graph. Forum 36(1): 209-221 (2017) - [j5]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. Comput. Graph. Forum 36(1): 222-236 (2017) - [c19]Andrea Gasparetto, Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello:
Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations. 3DV 2017: 477-485 - [c18]Emanuele Rodolà, Luca Cosmo, Or Litany, Michael M. Bronstein, Alexander M. Bronstein, Nicolas Audebert, A. Ben Hamza, Alexandre Boulch, Umberto Castellani, Minh N. Do, Duc Anh Duong, Takahiko Furuya, Andrea Gasparetto, Y. Hong, J. Kim, Bertrand Le Saux, Roee Litman, Majid Masoumi, Giorgia Minello, Hai-Dang Nguyen, V.-T. Nguyen, Ryutarou Ohbuchi, Viet-Khoi Pham, Thuyen V. Phan, M. Rezaei, Andrea Torsello, Minh-Triet Tran, Q. T. Tran, Bao Truong, L. Wan, Changqing Zou:
Deformable Shape Retrieval with Missing Parts. 3DOR@Eurographics 2017 - [c17]Filippo Bergamasco, Luca Cosmo, Andrea Gasparetto, Andrea Albarelli, Andrea Torsello:
Parameter-Free Lens Distortion Calibration of Central Cameras. ICCV 2017: 3867-3875 - 2016
- [j4]Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Flavio Sartoretto, Andrea Torsello:
A 5 degrees of freedom multi-user pointing device for interactive whiteboards. Pattern Anal. Appl. 19(1): 237-250 (2016) - [j3]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Emanuele Rodolà, Andrea Torsello:
An Accurate and Robust Artificial Marker Based on Cyclic Codes. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2359-2373 (2016) - [c16]Luca Cosmo, Emanuele Rodolà, Jonathan Masci, Andrea Torsello, Michael M. Bronstein:
Matching Deformable Objects in Clutter. 3DV 2016: 1-10 - [c15]Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, Yusuf Sahillioglu:
Partial Matching of Deformable Shapes. 3DOR@Eurographics 2016 - [c14]Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, Yusuf Sahillioglu:
Matching of Deformable Shapes with Topological Noise. 3DOR@Eurographics 2016 - [c13]Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
A game-theoretical approach for joint matching of multiple feature throughout unordered images. ICPR 2016: 3715-3720 - [c12]Filippo Bergamasco, Luca Cosmo, Michele Schiavinato, Andrea Albarelli, Andrea Torsello:
Dense multi-view homography estimation and plane segmentation. ICPR 2016: 3739-3744 - [c11]Andrea Gasparetto, Luca Cosmo, Andrea Torsello, Richard C. Wilson:
Non-rigid dense bijective maps. ICPR 2016: 3781-3786 - 2015
- [b1]Luca Cosmo:
3D acquisition and analysis with applications in interaction and contactless measurement. Ca' Foscari University of Venice, Italy, 2015 - [j2]Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Flavio Sartoretto:
Phase-based spatio-temporal interpolation for accurate 3D localization in camera networks. Pattern Recognit. Lett. 63: 1-8 (2015) - [c10]Andrea Albarelli, Augusto Celentano, Luca Cosmo:
Evaluating stereo vision and user tracking in mixed reality tasks! 3DUI 2015: 81-88 - [c9]Andrea Albarelli, Augusto Celentano, Luca Cosmo, Renato Marchi:
On the Interplay between Data Overlay and Real-World Context using See-through Displays. CHItaly 2015: 58-65 - [c8]Filippo Bergamasco, Andrea Albarelli, Luca Cosmo, Andrea Torsello, Emanuele Rodolà, Daniel Cremers:
Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction. CVPR 2015: 3003-3012 - [c7]Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Gasparetto:
Objective and Subjective Metrics for 3D Display Perception Evaluation. ICPRAM (2) 2015: 309-317 - [i1]Emanuele Rodolà, Luca Cosmo, Michael M. Bronstein, Andrea Torsello, Daniel Cremers:
Partial Functional Correspondence. CoRR abs/1506.05274 (2015) - 2014
- [c6]Andrea Albarelli, Luca Cosmo, Augusto Celentano:
Evaluating accuracy of perception in an adaptive stereo vision interface. AVI 2014: 333-334 - [c5]Luca Cosmo, Andrea Albarelli, Filippo Bergamasco:
A low cost tracking system for position-dependent 3D visual interaction. AVI 2014: 351-352 - [c4]Filippo Bergamasco, Luca Cosmo, Andrea Albarelli, Andrea Torsello:
Camera Calibration from Coplanar Circles. ICPR 2014: 2137-2142 - [c3]Luca Cosmo, Andrea Albarelli, Filippo Bergamasco, Andrea Torsello:
Design and Evaluation of a Viewer-Dependent Stereoscopic Display. ICPR 2014: 2861-2866 - [c2]Andrea Albarelli, Luca Cosmo, Filippo Bergamasco, Andrea Torsello:
High-Coverage 3D Scanning through Online Structured Light Calibration. ICPR 2014: 4080-4085 - 2013
- [j1]Andrea Albarelli, Filippo Bergamasco, Augusto Celentano, Luca Cosmo, Andrea Torsello:
Using multiple sensors for reliable markerless identification through supervised learning. Mach. Vis. Appl. 24(7): 1539-1554 (2013) - 2012
- [c1]Filippo Bergamasco, Luca Cosmo, Andrea Albarelli, Andrea Torsello:
A Robust Multi-camera 3D Ellipse Fitting for Contactless Measurements. 3DIMPVT 2012: 168-175
Coauthor Index
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last updated on 2024-12-13 19:14 CET by the dblp team
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