Search Results for author: Andrea Leo

Found 9 papers, 6 papers with code

Development and Virtual Testing of 5G Connected Adaptive Cruise Control

no code implementations11 Jan 2022 Andrea Leo, Giacomo Reatti, Stefano Arrigoni, Michael Khayyat, Federico Cheli

It is estimated that 90% of crashes occur due to human error, mainly induced by poor judgement, distraction or lack of situation awareness.


Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning

1 code implementation26 Aug 2021 Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

Collecting large-scale medical datasets with fine-grained annotations is time-consuming and requires experts.

Weakly supervised segmentation

Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

3 code implementations2 Jul 2020 Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

We evaluated our model on several medical (ACDC, LVSC, CHAOS) and non-medical (PPSS) datasets, and we report performance levels matching those achieved by models trained with fully annotated segmentation masks.

Deep Attention Image Segmentation +4

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations

1 code implementation29 Aug 2019 Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris

There has been an increasing focus in learning interpretable feature representations, particularly in applications such as medical image analysis that require explainability, whilst relying less on annotated data (since annotations can be tedious and costly).

Anatomy Disentanglement

Unsupervised Data Selection for Supervised Learning

no code implementations29 Oct 2018 Gabriele Valvano, Andrea Leo, Daniele Della Latta, Nicola Martini, Gianmarco Santini, Dante Chiappino, Emiliano Ricciardi

Recent research put a big effort in the development of deep learning architectures and optimizers obtaining impressive results in areas ranging from vision to language processing.

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