Thomas Norrenbrock

According to our database, Thomas Norrenbrock authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

DINO-QPM: Adapting Visual Foundation Models for Globally Interpretable Image Classification.

Robert Zimmermann, Thomas Norrenbrock, Bodo Rosenhahn

CoRR, April, 2026

Video Patch Pruning: Efficient Video Instance Segmentation via Early Token Reduction.

Patrick Glandorf, Thomas Norrenbrock, Bodo Rosenhahn

CoRR, April, 2026

2025

CHiQPM: Calibrated Hierarchical Interpretable Image Classification.

Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn

CoRR, November, 2025

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model.

Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

Proceedings of the Forty-second International Conference on Machine Learning, 2025

QPM: Discrete Optimization for Globally Interpretable Image Classification.

Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Q-SENN: Quantized Self-Explaining Neural Networks.

Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Take 5: Interpretable Image Classification with a Handful of Features.

Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

CoRR, 2023