71 citations · 96 across the 5 of their papers we have counts for
5 papers
Who Made This? Fake Detection and Source Attribution with Diffusion Features
Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini
The rapid rise of generative models has yielded synthetic images of striking realism, blurring the line between real and fake content. As novel models proliferate, detectors must g…
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation
Simone Bonechi, Paolo Andreini, Monica Bianchini +1
Providing pixel-level supervisions for scene text segmentation is inherently difficult and costly, so that only few small datasets are available for this task. To face the scarcity…
Neural Poetry: Learning to Generate Poems using Syllables
Andrea Zugarini, Stefano Melacci, Marco Maggini
Motivated by the recent progresses on machine learning-based models that learn artistic styles, in this paper we focus on the problem of poem generation. This is a challenging task…
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation
Paolo Andreini, Simone Bonechi, Monica Bianchini +3
In recent years, the use of deep learning is becoming increasingly popular in computer vision. However, the effective training of deep architectures usually relies on huge sets of…
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation
Simone Bonechi, Paolo Andreini, Monica Bianchini +1
The absence of large scale datasets with pixel-level supervisions is a significant obstacle for the training of deep convolutional networks for scene text segmentation. For this re…