2 citations · 3 across the 15 of their papers we have counts for
5 papers · 1 filter
Re-assessing the evidence for mental rotation abilities in children using computational models
Arthur Aubret, Jochen Triesch
There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few behavioral paradigms adapted fro…
Simulated Cortical Magnification Supports Self-Supervised Object Learning
Zhengyang Yu, Arthur Aubret, Chen Yu +1
Recent self-supervised learning models simulate the development of semantic object representations by training on visual experience similar to that of toddlers. However, these mode…
MIMo grows! Simulating body and sensory development in a multimodal infant model
Francisco M. López, Miles Lenz, Marco G. Fedozzi +2
Infancy is characterized by rapid body growth and an explosive change of sensory and motor abilities. However, developmental robots and simulation platforms are typically designed…
Human Gaze Boosts Object-Centered Representation Learning
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig +1
Recent self-supervised learning (SSL) models trained on human-like egocentric visual inputs substantially underperform on image recognition tasks compared to humans. These models t…
Seeing the Whole in the Parts in Self-Supervised Representation Learning
Arthur Aubret, Céline Teulière, Jochen Triesch
Recent successes in self-supervised learning (SSL) model spatial co-occurrences of visual features either by masking portions of an image or by aggressively cropping it. Here, we p…