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pro vyhledávání: '"Giulivi, Loris"'
Deep Learning (DL) models have been successfully applied to many applications including biomedical cell segmentation and classification in histological images. These models require large amounts of annotated data which might not always be available,
Externí odkaz:
http://arxiv.org/abs/2406.01403
Autor:
Giulivi, Loris, Boracchi, Giacomo
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities in understanding and generating content across various modalities, such as images and text. However, their interpretability remains a challenge, hindering their adopt
Externí odkaz:
http://arxiv.org/abs/2405.14612
For more than a decade, deep learning models have been dominating in various 2D imaging tasks. Their application is now extending to 3D imaging, with 3D Convolutional Neural Networks (3D CNNs) being able to process LIDAR, MRI, and CT scans, with sign
Externí odkaz:
http://arxiv.org/abs/2405.14584
Autor:
Giulivi, Loris, Boracchi, Giacomo
Advances in multi-modal embeddings, and in particular CLIP, have recently driven several breakthroughs in Computer Vision (CV). CLIP has shown impressive performance on a variety of tasks, yet, its inherently opaque architecture may hinder the applic
Externí odkaz:
http://arxiv.org/abs/2405.14563
Artificial intelligence (AI) systems power the world we live in. Deep neural networks (DNNs) are able to solve tasks in an ever-expanding landscape of scenarios, but our eagerness to apply these powerful models leads us to focus on their performance
Externí odkaz:
http://arxiv.org/abs/2204.09920
Autor:
Giulivi, Loris, Jere, Malhar, Rossi, Loris, Koushanfar, Farinaz, Ciocarlie, Gabriela, Hitaj, Briland, Boracchi, Giacomo
Publikováno v:
Pattern Recognition, Volume 133, January 2023, 108985
A growing body of work has shown that deep neural networks are susceptible to adversarial examples. These take the form of small perturbations applied to the model's input which lead to incorrect predictions. Unfortunately, most literature focuses on
Externí odkaz:
http://arxiv.org/abs/2204.09397
Autor:
Giulivi, Loris, Jere, Malhar, Rossi, Loris, Koushanfar, Farinaz, Ciocarlie, Gabriela, Hitaj, Briland, Boracchi, Giacomo
Publikováno v:
In Pattern Recognition January 2023 133
