Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (ICANN (3), 2019)

Recurrent Connectivity Aids Recognition of Partly Occluded Objects. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (CoRR, 2019)

Recurrent Feedback Improves Recognition of Partially Occluded Objects. - Markus Roland Ernst; Jochen Triesch; Thomas Burwick (ESANN, 2020)

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development in Humans and AIs. - Dominik Mattern; Francisco M. López; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (ICDL, 2022)

Time to augment contrastive learning. - Arthur Aubret; Markus Roland Ernst; Céline Teulière; Jochen Triesch (CoRR, 2022)

Time to augment self-supervised visual representation learning. - Arthur Aubret; Markus Roland Ernst; Céline Teulière; Jochen Triesch (ICLR, 2023)

MIMo: A Multi-Modal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (CoRR, 2023)

Self-Supervised Learning of Color Constancy. - Markus Roland Ernst; Francisco M. López; Arthur Aubret; Roland W. Fleming; Jochen Triesch (ICDL, 2024)

MIMo: A Multimodal Infant Model for Studying Cognitive Development. - Dominik Mattern; Pierre Schumacher; Francisco M. López; Marcel C. Raabe; Markus Roland Ernst; Arthur Aubret; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2024)