Kaiser, Timo

6 publications

NeurIPS 2025 CHiQPM: Calibrated Hierarchical Interpretable Image Classification Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn

ICLR 2025 QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn

ICML 2025 UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

CVPRW 2023 Compensation Learning in Semantic Segmentation Timo Kaiser, Christoph Reinders, Bodo Rosenhahn

ICCVW 2023 HyperSparse Neural Networks: Shifting Exploration to Exploitation Through Adaptive Regularization Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn

ICCV 2021 Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths Andrea Hornakova, Timo Kaiser, Paul Swoboda, Michal Rolinek, Bodo Rosenhahn, Roberto Henschel