128 citations · 293 across the 39 of their papers we have counts for
6 papers · 2 filters
Time-Resolved MNIST Dataset for Single-Photon Recognition
Aleksi Suonsivu, Lauri Salmela, Edoardo Peretti +3
Time-resolved single photon imaging is a promising imaging modality characterized by the unique capability of timestamping the arrivals of single photons. Single-Photon Avalanche D…
Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis
Michele Craighero, Sarah Solbiati, Federica Mozzini +2
The seismocardiographic signal is a promising alternative to the traditional ECG in the analysis of the cardiac activity. In particular, the systolic complex is known to be the mos…
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
Yunkang Cao, Jiangning Zhang, Luca Frittoli +3
Zero-shot anomaly detection (ZSAD) targets the identification of anomalies within images from arbitrary novel categories. This study introduces AdaCLIP for the ZSAD task, leveragin…
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…
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
Mariusz Wiśniewski, 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…