4 papers
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
Mariusz WiÅniewski, Loris Giulivi, Giacomo Boracchi
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 Networ…
An expert-driven data generation pipeline for histological images
Roberto Basla, Loris Giulivi, Luca Magri +1
Deep Learning (DL) models have been successfully applied to many applications including biomedical cell segmentation and classification in histological images. These models require…
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception
Loris Giulivi, Giacomo Boracchi
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities in understanding and generating content across various modalities, such as images and text. Howe…
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Loris Giulivi, Giacomo Boracchi
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 o…