CrOC: Cross-View Online Clustering for Dense Visual Representation Learning. - Thomas Stegmüller; Tim Lebailly; Behzad Bozorgtabar; Tinne Tuytelaars; Jean-Philippe Thiran (CVPR, 2023)

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (ICCV, 2023)

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification. - Thomas Stegmüller; Behzad Bozorgtabar; Antoine Spahr; Jean-Philippe Thiran (WACV, 2023)

Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (CoRR, 2023)

Adaptive Similarity Bootstrapping for Self-Distillation. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (CoRR, 2023)

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping. - Tim Lebailly; Thomas Stegmüller; Behzad Bozorgtabar; Jean-Philippe Thiran; Tinne Tuytelaars (ICLR, 2024)

Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime. - Thomas Stegmüller; Christian Abbet; Behzad Bozorgtabar; Holly Clarke; Patrick Petignat; Pierre Vassilakos; Jean-Philippe Thiran (Comput. Biol. Medicine, 2024)

A Simple Framework for Open-Vocabulary Zero-Shot Segmentation. - Thomas Stegmüller; Tim Lebailly; Nikola Dukic; Behzad Bozorgtabar; Tinne Tuytelaars; Jean-Philippe Thiran (ICLR, 2025)