8 citations · 12 across the 9 of their papers we have counts for
9 papers
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Dmitry Vatolin +30
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provid…
SalFoM: Dynamic Saliency Prediction with Video Foundation Models
Morteza Moradi, Mohammad Moradi, Francesco Rundo +3
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is the primary goal of VSP. However, cu…
Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices
Massimo Orazio Spata, Sebastiano Battiato, Alessandro Ortis +4
Inverse modelling with deep learning algorithms involves training deep architecture to predict device's parameters from its static behaviour. Inverse device modelling is suitable t…
Car-Driver Drowsiness Assessment through 1D Temporal Convolutional Networks
Francesco Rundo, Concetto Spampinato, Michael Rundo
Recently, the scientific progress of Advanced Driver Assistance System solutions (ADAS) has played a key role in enhancing the overall safety of driving. ADAS technology enables ac…
Visual Saliency Detection in Advanced Driver Assistance Systems
Francesco Rundo, Michael Sebastian Rundo, Concetto Spampinato
Visual Saliency refers to the innate human mechanism of focusing on and extracting important features from the observed environment. Recently, there has been a notable surge of int…
Non-Linear Self Augmentation Deep Pipeline for Cancer Treatment outcome Prediction
Francesco Rundo, Concetto Spampinato, Michael Rundo
Immunotherapy emerges as promising approach for treating cancer. Encouraging findings have validated the efficacy of immunotherapy medications in addressing tumors, resulting in pr…