Thomas Stegmüller

According to our database, Thomas Stegmüller authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, February, 2024

2023

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping.

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

CoRR, 2023

Adaptive Similarity Bootstrapping for Self-Distillation.

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

CoRR, 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

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification.

Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning.

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CrOC: Cross-View Online Clustering for Dense Visual Representation Learning.

Thomas Stegmüller, Tim Lebailly, Behzad Bozorgtabar, Tinne Tuytelaars, Jean-Philippe Thiran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023