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Luca De Luigi
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2020 – today
- 2024
- [j4]Pierluigi Zama Ramirez, Luca De Luigi, Daniele Sirocchi, Adriano Cardace, Riccardo Spezialetti, Francesco Ballerini, Samuele Salti, Luigi Di Stefano:
Deep Learning on Object-Centric 3D Neural Fields. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9940-9956 (2024) - [j3]Marco Boschi
, Luca De Luigi
Dynamic Bird's Eye View Reconstruction of Driving Accidents. IEEE Trans. Intell. Transp. Syst. 25(8): 8671-8680 (2024) - 2023
- [j2]Pierluigi Zama Ramirez
Learning Good Features to Transfer Across Tasks and Domains. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9981-9995 (2023) - [j1]Simone Magistri
Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images. IEEE Trans. Intell. Transp. Syst. 24(1): 191-200 (2023) - [c6]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Garment Generation and Self-Supervised Draping. CVPR 2023: 1451-1460 - [c5]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 - [c4]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: 816-825 - [i7]Pierluigi Zama Ramirez
Learning Good Features to Transfer Across Tasks and Domains. CoRR abs/2301.11310 (2023) - [i6]Luca De Luigi, Adriano Cardace, Riccardo Spezialetti, Pierluigi Zama Ramirez
Deep Learning on Implicit Neural Representations of Shapes. CoRR abs/2302.05438 (2023) - [i5]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 abs/2312.13277 (2023) - 2022
- [c3]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. ICPR 2022: 2482-2488 - [c2]Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation. WACV 2022: 1999-2009 - [i4]Gianluca Berardi, Luca De Luigi, Samuele Salti, Luigi Di Stefano:
Learning the Space of Deep Models. CoRR abs/2206.05194 (2022) - [i3]Luca De Luigi, Ren Li, Benoît Guillard, Mathieu Salzmann, Pascal Fua:
DrapeNet: Generating Garments and Draping them with Self-Supervision. CoRR abs/2211.11277 (2022) - [i2]Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano:
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields. CoRR abs/2211.13762 (2022) - 2021
- [i1]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 abs/2110.06685 (2021) - 2020
- [c1]Pierluigi Zama Ramirez
Shooting Labels: 3D Semantic Labeling by Virtual Reality. AIVR 2020: 99-106
Coauthor Index
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