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20212026
most citedCaregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play

2 citations · 3 across the 15 of their papers we have counts for

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cs.CV2024

Toddlers' Active Gaze Behavior Supports Self-Supervised Object Learning

Zhengyang Yu, Arthur Aubret, Marcel C. Raabe +3

Toddlers learn to recognize objects from different viewpoints with almost no supervision. During this learning, they execute frequent eye and head movements that shape their visual…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 2 cited

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…