Luca De Luigi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Labeling Problems

Convolutional Neural Networks

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Marco Boschi, Luca De Luigi, Samuele Salti, Francesco Sambo, Douglas Coimbra de Andrade, Leonardo Taccari, Alex Quintero Garcia
Dynamic Bird's Eye View Reconstruction of Driving Accidents. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains. CoRR (2023)
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. WACV (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. ICLR (2023)
Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano
Deep Learning on 3D Neural Fields. CoRR (2023)
Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano
Deep Learning on Implicit Neural Representations of Shapes. CoRR (2023)
Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti
Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR (2023)
Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano
Learning Good Features to Transfer Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. CoRR (2022)
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
Learning the Space of Deep Models. ICPR (2022)
Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR (2022)
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. WACV (2022)
Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano
Learning the Space of Deep Models. CoRR (2022)
Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi di Stefano
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi di Stefano
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR (2020)