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Gianluca Agresti
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2020 – today
- 2024
- [i6]Matteo Caligiuri, Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh:
NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data. CoRR abs/2403.19376 (2024) - 2023
- [c10]Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh:
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. BMVC 2023: 571-574 - [i5]Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh:
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. CoRR abs/2309.07021 (2023) - 2022
- [j6]Gianluca Agresti
, Henrik Schäfer, Piergiorgio Sartor, Yalcin Incesu
Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9195-9208 (2022) - [j5]Adriano Simonetto
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. IEEE Trans. Computational Imaging 8: 721-732 (2022) - [c9]Xiaowen Jiang
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. CVPR Workshops 2022: 2686-2695 - [i4]Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh:
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. CoRR abs/2205.12918 (2022) - 2021
- [j4]Enrico Buratto
Deep Learning for Transient Image Reconstruction from ToF Data. Sensors 21(6): 1962 (2021) - [i3]Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer:
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. CoRR abs/2111.14396 (2021) - 2020
- [j3]Marco Toldo
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. Image Vis. Comput. 95: 103889 (2020) - [j2]Umberto Michieli
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. IEEE Trans. Intell. Veh. 5(3): 508-518 (2020) - [i2]Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment. CoRR abs/2001.04692 (2020)
2010 – 2019
- 2019
- [j1]Gianluca Agresti
Stereo and ToF data fusion by learning from synthetic data. Inf. Fusion 49: 161-173 (2019) - [c8]Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh:
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 22-31 - [c7]Matteo Biasetton, Umberto Michieli
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. CVPR Workshops 2019: 1211-1220 - [c6]Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Pietro Zanuttigh:
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. CVPR 2019: 5584-5593 - [c5]Gianluca Agresti
Material Identification Using RF Sensors and Convolutional Neural Networks. ICASSP 2019: 3662-3666 - [i1]Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh:
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00781 (2019) - 2018
- [c4]Gianluca Agresti
Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation. ECCV Workshops (1) 2018: 355-371 - [c3]Gianluca Agresti
Deep Learning for Multi-path Error Removal in ToF Sensors. ECCV Workshops (3) 2018: 410-426 - 2017
- [c2]Gianluca Agresti
Deep Learning for Confidence Information in Stereo and ToF Data Fusion. ICCV Workshops 2017: 697-705 - 2016
- [c1]Simone Milani, Gianluca Agresti
A rate control algorithm for video coding in augmented reality applications. PCS 2016: 1-5
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