Gianluca Agresti

24 papers A* 2A 1C 1Misc 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities.
CVPR
Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh
2025 J jnl
MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities.
CoRR
Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh
2024 J jnl
NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data.
CoRR
Matteo Caligiuri, Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh
2023 A conf
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction.
BMVC
Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh
2023 J jnl
Exploiting Multiple Priors for Neural 3D Indoor Reconstruction.
CoRR
Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh
2022 — conf
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps.
CVPR Workshops
Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh
2022 J jnl
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps.
CoRR
Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh
2022 J jnl
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction.
IEEE Trans. Computational Imaging
Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer
2022 J jnl
Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement.
IEEE Trans. Pattern Anal. Mach. Intell.
Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Yalcin Incesu, Pietro Zanuttigh
2021 J jnl
Deep Learning for Transient Image Reconstruction from ToF Data.
Sensors
Enrico Buratto, Adriano Simonetto, Gianluca Agresti, Henrik Schäfer, Pietro Zanuttigh
2021 J jnl
Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction.
CoRR
Adriano Simonetto, Gianluca Agresti, Pietro Zanuttigh, Henrik Schäfer
2020 J jnl
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation.
IEEE Trans. Intell. Veh.
Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh
2020 J jnl
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment.
CoRR
Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
2020 J jnl
Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment.
Image Vis. Comput.
Marco Toldo, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
2019 J jnl
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation.
CoRR
Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh
2019 Misc conf
Material Identification Using RF Sensors and Convolutional Neural Networks.
ICASSP
Gianluca Agresti, Simone Milani
2019 J jnl
Stereo and ToF data fusion by learning from synthetic data.
Inf. Fusion
Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh
2019 — conf
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes.
CVPR Workshops
Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
2019 — conf
Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes.
CVPR Workshops
Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh
2019 A* conf
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning.
CVPR
Gianluca Agresti, Henrik Schäfer, Piergiorgio Sartor, Pietro Zanuttigh
2018 — conf
Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation.
ECCV Workshops (1)
Gianluca Agresti, Pietro Zanuttigh
2018 — conf
Deep Learning for Multi-path Error Removal in ToF Sensors.
ECCV Workshops (3)
Gianluca Agresti, Pietro Zanuttigh
2017 — conf
Deep Learning for Confidence Information in Stereo and ToF Data Fusion.
ICCV Workshops
Gianluca Agresti, Ludovico Minto, Giulio Marin, Pietro Zanuttigh
2016 C conf
A rate control algorithm for video coding in augmented reality applications.
PCS
Simone Milani, Gianluca Agresti, Giancarlo Calvagno