Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts. - Tommie Kerssies; Joaquin Vanschoren; Mert Kiliçkaya (CoRR, 2022)

Neural Architecture Search for Visual Anomaly Segmentation. - Tommie Kerssies; Joaquin Vanschoren (AutoML, 2023)

Neural Architecture Search for Visual Anomaly Segmentation. - Tommie Kerssies (CoRR, 2023)

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. - Brunó Bence Englert; Fabrizio J. Piva; Tommie Kerssies; Daan de Geus; Gijs Dubbelman (CVPR Workshops, 2024)

How to Benchmark Vision Foundation Models for Semantic Segmentation? - Tommie Kerssies; Daan de Geus; Gijs Dubbelman (CVPR Workshops, 2024)

The BRAVO Semantic Segmentation Challenge Results in UNCV2024. - Tuan-Hung Vu; Eduardo Valle; Andrei Bursuc; Tommie Kerssies; Daan de Geus; Gijs Dubbelman; Long Qian; Bingke Zhu; Yingying Chen 003; Ming Tang 001; Jinqiao Wang; Tomás Vojír; et al. (ECCV Workshops (17), 2024)

2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation. - Tommie Kerssies; Daan de Geus; Gijs Dubbelman (CoRR, 2024)

What is the Added Value of UDA in the VFM Era? - Brunó Bence Englert; Tommie Kerssies; Gijs Dubbelman (CVPR Workshops, 2025)

Your ViT is Secretly an Image Segmentation Model. - Tommie Kerssies; Niccolò Cavagnero; Alexander Hermans; Narges Norouzi; Giuseppe Averta; Bastian Leibe; Gijs Dubbelman; Daan de Geus (CVPR, 2025)

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets. - Marianna Nezhurina; Tomer Porian; Giovanni Pucceti; Tommie Kerssies; Romain Beaumont; Mehdi Cherti; Jenia Jitsev (CoRR, 2025)

Simplifying Traffic Anomaly Detection with Video Foundation Models. - Svetlana Orlova; Tommie Kerssies; Brunó Bence Englert; Gijs Dubbelman (CoRR, 2025)