Arthur Aubret

2 accepted papers

2026

Temporal Slowness in Central Vision Drives Semantic Object Learning

Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch

ICLR 2026poster

Humans acquire semantic object representations from egocentric visual streams with minimal supervision. Importantly, the visual system processes with high resolution only the center of its field of view and learns similar representations for visual inputs occurring close in time. This emphasizes slo…

Cited by 0 Source ↗code ↗Scholar ↗

2023

Time to augment self-supervised visual representation learning

Arthur Aubret, Markus R. Ernst, Céline Teulière, Jochen Triesch

ICLR 2023poster

Biological vision systems are unparalleled in their ability to learn visual representations without supervision. In machine learning, self-supervised learning (SSL) has led to major advances in forming object representations in an unsupervised fashion. Such systems learn representations invariant to…

Cited by 16 Source ↗PDF ↗Scholar ↗