Multimedia, 3D and Image Analysis Lab
Department of Information Engineering, University of Padova
Padova, Italy
Pinned Repositories
CL-PCSS
Repositiory of paper "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data"
FedSpace
PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).
GMNet
Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Rossi, P. Zanuttigh, ECCV 2020
IL-SemSegm
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
LSR
This is the official PyTorch implementation of our works: "Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation" presented at the CVPR2021 Workshop on Autonomous Driving and "Road Scenes Segmentation Across Different Domains by Disentangling Latent Representations" submitted to Springer's The Visual Computer Journal.
RECALL
Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021
Scan-to-BIM
Codebase for "FULLY AUTOMATED SCAN-TO-BIM VIA POINT CLOUD INSTANCE SEGMENTATION"
SDR
PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.
Syndrone
Repository containing the code and tools required to build & smulate on the Syndrone dataset.
UDAclustering
Code for the paper "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings", WACV 2021
Multimedia, 3D and Image Analysis Lab's Repositories
LTTM/IL-SemSegm
Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019
LTTM/SDR
PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.
LTTM/Scan-to-BIM
Codebase for "FULLY AUTOMATED SCAN-TO-BIM VIA POINT CLOUD INSTANCE SEGMENTATION"
LTTM/GMNet
Official Code for "GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild", U. Michieli, E. Borsato, L. Rossi, P. Zanuttigh, ECCV 2020
LTTM/UDAclustering
Code for the paper "Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings", WACV 2021
LTTM/FedSpace
PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).
LTTM/RECALL
Official TensorFlow implementation of "RECALL: Replay-based Continual Learning in Semantic Segmentation", ICCV 2021
LTTM/Syndrone
Repository containing the code and tools required to build & smulate on the Syndrone dataset.
LTTM/LSR
This is the official PyTorch implementation of our works: "Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation" presented at the CVPR2021 Workshop on Autonomous Driving and "Road Scenes Segmentation Across Different Domains by Disentangling Latent Representations" submitted to Springer's The Visual Computer Journal.
LTTM/CCDA
PyTorch implementation of: D. Shenaj, F. Barbato, U. Michieli and P. Zanuttigh, “Continual coarse-to-fine domain adaptation in semantic segmentation”, Image and Vision Computing, 2022
LTTM/CL-PCSS
Repositiory of paper "Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data"
LTTM/IL-Coarse2Fine
This repository contains the code for the paper: "Incremental and Multi-Task Learning Strategies for Coarse-to-Fine Semantic Segmentation", Technologies 2020 vol.8 num. 1, special issue on Computer Vision and Image Processing Technologies.
LTTM/HyperFLAW
Official repository containing code and datasets of the paper "When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather", WACV 2025
LTTM/SELMA
Fork from the carla-simulator
LTTM/HSIRS
High quality Spectral Image Reconstruction and Segmentation Dataset
LTTM/PCutils
Utility functions to work with PCs with special focus on PC coding
LTTM/depthformer
LTTM/utils
Useful scripts shared among different projects.
LTTM/NIGHT-nlos-imaging-from-itof-data
Code and dataset of the paper "NIGHT - Non-Line-of-Sight Imaging from indirect Time of flight Data". ECCV 2024 - MELEX Workshop