Luca De Luigi

17 papers A* 2A 2B 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Deep Learning on Object-Centric 3D Neural Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2024 J jnl
Dynamic Bird's Eye View Reconstruction of Driving Accidents.
IEEE Trans. Intell. Transp. Syst.
Marco Boschi, Luca De Luigi, Samuele Salti, Francesco Sambo, Douglas Coimbra de Andrade, Leonardo Taccari, Alex Quintero Garcia
2023 J jnl
Deep Learning on 3D Neural Fields.
CoRR
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
2023 A* conf
Deep Learning on Implicit Neural Representations of Shapes.
ICLR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 J jnl
Deep Learning on Implicit Neural Representations of Shapes.
CoRR
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2023 A* conf
DrapeNet: Garment Generation and Self-Supervised Draping.
CVPR
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2023 J jnl
Learning Good Features to Transfer Across Tasks and Domains.
CoRR
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2023 J jnl
Learning Good Features to Transfer Across Tasks and Domains.
IEEE Trans. Pattern Anal. Mach. Intell.
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
2023 J jnl
Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images.
IEEE Trans. Intell. Transp. Syst.
Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti
2023 A conf
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields.
WACV
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
2022 J jnl
DrapeNet: Generating Garments and Draping them with Self-Supervision.
CoRR
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
2022 B conf
Learning the Space of Deep Models.
ICPR
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
2022 J jnl
Learning the Space of Deep Models.
CoRR
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
2022 A conf
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.
WACV
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2022 J jnl
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields.
CoRR
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
2021 J jnl
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.
CoRR
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
2020 — conf
Shooting Labels: 3D Semantic Labeling by Virtual Reality.
AIVR
Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano