2 citations · 2 across the 4 of their papers we have counts for
4 papers
Self-supervised visual learning from interactions with objects
Arthur Aubret, Céline Teulière, Jochen Triesch
Self-supervised learning (SSL) has revolutionized visual representation learning, but has not achieved the robustness of human vision. A reason for this could be that SSL does not…
Learning Object Semantic Similarity with Self-Supervision
Arthur Aubret, Timothy Schaumlöffel, Gemma Roig +1
Humans judge the similarity of two objects not just based on their visual appearance but also based on their semantic relatedness. However, it remains unclear how humans learn abou…
Self-Supervised Learning of Color Constancy
Markus R. Ernst, Francisco M. López, Arthur Aubret +2
Color constancy (CC) describes the ability of the visual system to perceive an object as having a relatively constant color despite changes in lighting conditions. While CC and its…
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig +1
Infants' ability to recognize and categorize objects develops gradually. The second year of life is marked by both the emergence of more semantic visual representations and a bette…