1 code implementation • 3 Jun 2024 • Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi
Deep Learning (DL) models have been successfully applied to many applications including biomedical cell segmentation and classification in histological images.
1 code implementation • 23 May 2024 • 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.
1 code implementation • 23 May 2024 • Loris Giulivi, Giacomo Boracchi
Advances in multi-modal embeddings, and in particular CLIP, have recently driven several breakthroughs in Computer Vision (CV).
1 code implementation • 23 May 2024 • Mariusz Wiśniewski, Loris Giulivi, Giacomo Boracchi
In these critical settings, explaining the model's decisions is fundamental.
1 code implementation • 21 Apr 2022 • Loris Giulivi, Mark James Carman, Giacomo Boracchi
Results of our user study demonstrate that humans can better understand and predict the system's decisions when perception visualizations are available, thus easing the debugging and deployment of deep models as trusted systems.
1 code implementation • 20 Apr 2022 • Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela Ciocarlie, Briland Hitaj, Giacomo Boracchi
We present Adversarial Scratches: a novel L0 black-box attack, which takes the form of scratches in images, and which possesses much greater deployability than other state-of-the-art attacks.