1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors
Dario Zanca, Andrea Zugarini, Simon Dietz +4
Understanding the mechanisms underlying human attention is a fundamental challenge for both vision science and artificial intelligence. While numerous computational models of free-…
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations
Toni Albert, Bjoern Eskofier, Dario Zanca
As the field of deep learning steadily transitions from the realm of academic research to practical application, the significance of self-supervised pretraining methods has become…