activity
20232025
most citedTPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction

Giuseppe Cartella, Vittorio Cuculo, Alessandro D'Amelio +3

Predicting human gaze scanpaths is crucial for understanding visual attention, with applications in human-computer interaction, autonomous systems, and cognitive robotics. While de…

cs.CV20241 cited

TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes

Alessandro D'Amelio, Giuseppe Cartella, Vittorio Cuculo +4

Attention guides our gaze to fixate the proper location of the scene and holds it in that location for the deserved amount of time given current processing demands, before shifting…

cs.CV2024

Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images

Giuseppe Cartella, Vittorio Cuculo, Marcella Cornia +1

Creating high-quality and realistic images is now possible thanks to the impressive advancements in image generation. A description in natural language of your desired output is al…

cs.CV20241 cited

Trends, Applications, and Challenges in Human Attention Modelling

Giuseppe Cartella, Marcella Cornia, Vittorio Cuculo +4

Human attention modelling has proven, in recent years, to be particularly useful not only for understanding the cognitive processes underlying visual exploration, but also for prov…

cs.CV2023

OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data

Giuseppe Cartella, Alberto Baldrati, Davide Morelli +3

The inexorable growth of online shopping and e-commerce demands scalable and robust machine learning-based solutions to accommodate customer requirements. In the context of automat…