Tommie Kerssies

Tommie Kerssies

Applied Scientist Intern · PhD Candidate
Frontier AI & Robotics, Amazon – San Francisco, USA
Mobile Perception Systems Lab, TU/e – Eindhoven, Netherlands
t.kerssies[at]tue[dot]nl

Publications

A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
Tommie Kerssies, Gabriele Berton, Ju He, Qihang Yu, Wufei Ma, Daan de Geus, Gijs Dubbelman, Liang-Chieh Chen
CVPR 2026 New
VidEoMT: Your ViT is Secretly Also a Video Segmentation Model
Narges Norouzi, Idil Esen Zulfikar, Niccolò Cavagnero, Tommie Kerssies, Bastian Leibe, Gijs Dubbelman, Daan de Geus
CVPR 2026
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
NeurIPS 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 Highlight Paper (Top 3%)
Simplifying Traffic Anomaly Detection with Video Foundation Models
Svetlana Orlova, Tommie Kerssies, Brunó B. Englert, Gijs Dubbelman
ICCV Workshops 2025
What is the Added Value of UDA in the VFM Era?
Brunó B. Englert, Tommie Kerssies, Gijs Dubbelman
CVPR Workshops 2025
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, et al.
ECCV Workshops 2024
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
Tommie Kerssies, Daan de Geus, Gijs Dubbelman
arXiv 2024
How to Benchmark Vision Foundation Models for Semantic Segmentation?
Tommie Kerssies, Daan de Geus, Gijs Dubbelman
CVPR Workshops 2024
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
Brunó B. Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman
CVPR Workshops 2024
Neural Architecture Search for Visual Anomaly Segmentation
Tommie Kerssies, Joaquin Vanschoren
AutoML (PMLR) 2023
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
Tommie Kerssies, Mert Kılıçkaya, Joaquin Vanschoren
arXiv 2022