Giovanni Bellitto

Orcid: 0000-0002-1333-8348

According to our database1, Giovanni Bellitto authored at least 23 papers between 2020 and 2024.

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Bibliography

2024
<i>FedER</i>: Federated Learning through Experience Replay and privacy-preserving data synthesis.
Comput. Vis. Image Underst., January, 2024

Selective Attention-based Modulation for Continual Learning.
CoRR, 2024

Wake-Sleep Consolidated Learning.
CoRR, 2024

Coronary Artery Stenosis Assessment in X-Ray Angiography Through Spatio-Temporal Attention for Non-Invasive FFR and iFR Estimation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.
CoRR, 2023

TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Privacy-Preserving Walk in the Latent Space of Generative Models for Medical Applications.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Selective Freezing for Efficient Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Experience Replay as an Effective Strategy for Optimizing Decentralized Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Decentralized Distributed Learning with Privacy-Preserving Data Synthesis.
CoRR, 2022

Effects of Auxiliary Knowledge on Continual Learning.
CoRR, 2022

Effects of Auxiliary Knowledge on Continual Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Transfer Without Forgetting.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction.
Int. J. Comput. Vis., 2021

Hierarchical 3D Feature Learning for Pancreas Segmentation.
CoRR, 2021

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans.
Artif. Intell. Medicine, 2021

Hierarchical 3D Feature Learning forPancreas Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Advanced Car Driving Assistant System: A Deep Non-local Pipeline Combined with 1D Dilated CNN for Safety Driving.
Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

2020
Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers.
CoRR, 2020

Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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