| 2025 | CVPR | MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities. | Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh |
| 2023 | BMVC | Exploiting Multiple Priors for Neural 3D Indoor Reconstruction. | Federico Lincetto, Gianluca Agresti, Mattia Rossi, Pietro Zanuttigh |
| 2022 | CVPR | A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps. | Xiaowen Jiang, Valerio Cambareri, Gianluca Agresti, Cynthia Ifeyinwa Ugwu, Adriano Simonetto, Fabien Cardinaux, Pietro Zanuttigh |
| 2019 | CVPR | Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning. | Gianluca Agresti, Henrik Schfer, Piergiorgio Sartor, Pietro Zanuttigh |
| 2019 | CVPR | Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. | Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh |
| 2019 | CVPR | Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes. | Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh |
| 2019 | ICASSP | Material Identification Using RF Sensors and Convolutional Neural Networks. | Gianluca Agresti, Simone Milani |
| 2018 | ECCV | Combination of Spatially-Modulated ToF and Structured Light for MPI-Free Depth Estimation. | Gianluca Agresti, Pietro Zanuttigh |
| 2018 | ECCV | Deep Learning for Multi-path Error Removal in ToF Sensors. | Gianluca Agresti, Pietro Zanuttigh |
| 2016 | PCS | A rate control algorithm for video coding in augmented reality applications. | Simone Milani, Gianluca Agresti, Giancarlo Calvagno |