Luca De Luigi

According to our database, Luca De Luigi authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning Good Features to Transfer Across Tasks and Domains.

Pierluigi Zama Ramirez, Adriano Cardace, Luca De Luigi, Alessio Tonioni, Samuele Salti, Luigi Di Stefano

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images.

Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti

IEEE Trans. Intell. Transp. Syst., January, 2023

Deep Learning on 3D Neural Fields.

Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano

CoRR, 2023

ScanNeRF: a Scalable Benchmark for Neural Radiance Fields.

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deep Learning on Implicit Neural Representations of Shapes.

Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DrapeNet: Garment Generation and Self-Supervised Draping.

Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DrapeNet: Generating Garments and Draping them with Self-Supervision.

Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua

CoRR, 2022

Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation.

Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning the Space of Deep Models.

Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020

Shooting Labels: 3D Semantic Labeling by Virtual Reality.

Pierluigi Zama Ramirez, Claudio Paternesi, Luca De Luigi, Luigi Lella, Daniele De Gregorio, Luigi Di Stefano

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020