A rate control algorithm for video coding in augmented reality applications. - Simone Milani; Gianluca Agresti; Giancarlo Calvagno (PCS, 2016)

Deep Learning for Confidence Information in Stereo and ToF Data Fusion. - Gianluca Agresti; Ludovico Minto; Giulio Marin; Pietro Zanuttigh (ICCV Workshops, 2017)

Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation. - Gianluca Agresti; Pietro Zanuttigh (ECCV Workshops (1), 2018)

Deep Learning for Multi-path Error Removal in ToF Sensors. - Gianluca Agresti; Pietro Zanuttigh (ECCV Workshops (3), 2018)

Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. - Gianluca Agresti; Henrik Schäfer; Piergiorgio Sartor; Pietro Zanuttigh (CVPR, 2019)

Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. - Matteo Biasetton; Umberto Michieli; Gianluca Agresti; Pietro Zanuttigh (CVPR Workshops, 2019)

Material Identification Using RF Sensors and Convolutional Neural Networks. - Gianluca Agresti; Simone Milani (ICASSP, 2019)

Stereo and ToF data fusion by learning from synthetic data. - Gianluca Agresti; Ludovico Minto; Giulio Marin; Pietro Zanuttigh (Inf. Fusion, 2019)

Unsupervised domain adaptation for mobile semantic segmentation based on cycle consistency and feature alignment. - Marco Toldo; Umberto Michieli; Gianluca Agresti; Pietro Zanuttigh (Image Vis. Comput., 2020)

Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation. - Umberto Michieli; Matteo Biasetton; Gianluca Agresti; Pietro Zanuttigh (IEEE Trans. Intell. Veh., 2020)

Deep Learning for Transient Image Reconstruction from ToF Data. - Enrico Buratto; Adriano Simonetto; Gianluca Agresti; Henrik Schäfer; Pietro Zanuttigh (Sensors, 2021)

A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. - Xiaowen Jiang 003; Valerio Cambareri; Gianluca Agresti; Cynthia Ifeyinwa Ugwu; Adriano Simonetto; Fabien Cardinaux; Pietro Zanuttigh (CVPR Workshops, 2022)

Unsupervised Domain Adaptation of Deep Networks for ToF Depth Refinement. - Gianluca Agresti; Henrik Schäfer; Piergiorgio Sartor; Yalcin Incesu; Pietro Zanuttigh (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Lightweight Deep Learning Architecture for MPI Correction and Transient Reconstruction. - Adriano Simonetto; Gianluca Agresti; Pietro Zanuttigh; Henrik Schäfer (IEEE Trans. Computational Imaging, 2022)

Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. - Federico Lincetto; Gianluca Agresti; Mattia Rossi; Pietro Zanuttigh (BMVC, 2023)

NIGHT - Non-Line-of-Sight Imaging from Indirect Time of Flight Data. - Matteo Caligiuri; Adriano Simonetto; Gianluca Agresti; Pietro Zanuttigh (CoRR, 2024)

MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities. - Federico Lincetto; Gianluca Agresti; Mattia Rossi; Pietro Zanuttigh (CVPR, 2025)