matteocali
Ph.D. Student of Università Degli Studi di Padova working on Federated and Continual Learning
Italy
Pinned Repositories
Syndrone
Repository containing the code and tools required to build & smulate on the Syndrone dataset.
agrimgmt
Full stack Java Web Application related to the whole management of an agricultural factory (employees, orders, clients, suppliers and production management system).
CV
Personal CV
DEILabs
Script to automatically login on the DEILabs platform
FoHIS
Towards Simulating Foggy and Hazy Images and Evaluating their Authenticity
ForkGAN
ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks in adverse weather conditions, including localization, semantic segmentation and object detection.
mlflow-docker-compose
MLflow deployment with 1 command
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
nlos-imaging-from-itof-data
Implementation of the project in collaboration with Sony Europe B.V. that aims to perform imaging of a 3D object located in Non-Line-of-Sight (NLoS) using an indirect Time of Flight (iToF) in combiantion with a Neural Network (NN)
omnidata
A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]
matteocali's Repositories
matteocali/DEILabs
Script to automatically login on the DEILabs platform
matteocali/nlos-imaging-from-itof-data
Implementation of the project in collaboration with Sony Europe B.V. that aims to perform imaging of a 3D object located in Non-Line-of-Sight (NLoS) using an indirect Time of Flight (iToF) in combiantion with a Neural Network (NN)
matteocali/agrimgmt
Full stack Java Web Application related to the whole management of an agricultural factory (employees, orders, clients, suppliers and production management system).
matteocali/CV
Personal CV
matteocali/FoHIS
Towards Simulating Foggy and Hazy Images and Evaluating their Authenticity
matteocali/ForkGAN
ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks in adverse weather conditions, including localization, semantic segmentation and object detection.
matteocali/mlflow-docker-compose
MLflow deployment with 1 command
matteocali/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
matteocali/omnidata
A Scalable Pipeline for Making Steerable Multi-Task Mid-Level Vision Datasets from 3D Scans [ICCV 2021]