Correspondence through Millions Bodies: a large-scale, functional, and implicit data-driven method for 3D Humans matching

Informazioni relative al progetto

CoMBo

ID dell’accordo di sovvenzione: 101109330

DOI

10.3030/101109330

Progetto chiuso

Data della firma CE 24 Marzo 2023

Data di avvio 1 Luglio 2023

Data di completamento 31 Luglio 2024

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 86 923,68

Coordinato da

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

DMP

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Pubblicazioni

Conference proceedings (5)

Spectral Maps for Learning on Subgraphs

Autori: Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
Pubblicato in: NeuREPS workshop: Symmetry and Geometry in Neural Representations, ISSN 2640-3498
Editore: Proceedings of Machine Learning Research

Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion

Autori: Guzov, Vladimir; Chibane, Julian; Marin, Riccardo; He, Yannan; Saracoglu, Yunus; Sattler, Torsten; Pons-Moll, Gerard
Pubblicato in: 2024 International Conference on 3D Vision (3DV), 2024
DOI: 10.1109/3DV62453.2024.00072

CloSe: A 3D Clothing Segmentation Dataset and Model

Autori: Antić, Dimitrije; Tiwari, Garvita; Ozcomlekci, Batuhan; Marin, Riccardo; Pons-Moll, Gerard
Pubblicato in: International Conference on 3D Vision, 2024
Editore: IEEE
DOI: 10.48550/arxiv.2401.12051

NICP: Neural ICP for 3D Human Registration at Scale

Autori: Riccardo Marin, Enric Corona, Gerard Pons-Moll
Pubblicato in: Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVIII, ISBN 978-3-031-73635-3
Editore: Springer-Verlag
DOI: 10.1007/978-3-031-73636-0_16

NSF: Neural Surface Fields for Human Modeling from Monocular Depth

Autori: Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung
Pubblicato in: International Conference on Computer Vision, ISSN 1550-5499
Editore: IEEE
DOI: 10.48550/ARXIV.2308.14847

Other (1)

Zero-Shot Stitching in Reinforcement Learning using Relative Representations

Autori: Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
Pubblicato in: ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/ARXIV.2404.12917