Timo Kaiser

17 papers A* 3Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CHiQPM: Calibrated Hierarchical Interpretable Image Classification.
CoRR
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn
2025 J jnl
Cell Tracking According to Biological Needs - Strong Mitosis-Aware Multi- Hypothesis Tracker With Aleatoric Uncertainty.
IEEE Trans. Medical Imaging
Timo Kaiser, Maximilian Schier, Bodo Rosenhahn
2025 J jnl
Multi-Object Tracking Retrieval with LLaVA-Video: A Training-Free Solution to MOT25-StAG Challenge.
CoRR
Yi Yang, Yiming Xu, Timo Kaiser, Hao Cheng, Bodo Rosenhahn, Michael Ying Yang
2025 A* conf
QPM: Discrete Optimization for Globally Interpretable Image Classification.
ICLR
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn
2025 J jnl
QPM: Discrete Optimization for Globally Interpretable Image Classification.
CoRR
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn
2025 A* conf
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model.
ICML
Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn
2025 J jnl
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model.
CoRR
Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn
2024 — conf
CHOTA: A Higher Order Accuracy Metric for Cell Tracking.
ECCV Workshops (16)
Timo Kaiser, Vladimír Ulman, Bodo Rosenhahn
2024 J jnl
CHOTA: A Higher Order Accuracy Metric for Cell Tracking.
CoRR
Timo Kaiser, Vladimír Ulman, Bodo Rosenhahn
2024 J jnl
Cell Tracking according to Biological Needs - Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty.
CoRR
Timo Kaiser, Maximilian Schier, Bodo Rosenhahn
2023 — conf
Compensation Learning in Semantic Segmentation.
CVPR Workshops
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
2023 J jnl
Compensation Learning in Semantic Segmentation.
CoRR
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
2023 — conf
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization.
ICCV (Workshops)
Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn
2023 J jnl
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization.
CoRR
Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn
2022 J jnl
Blind Knowledge Distillation for Robust Image Classification.
CoRR
Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn
2021 A* conf
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths.
ICCV
Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel
2021 J jnl
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths.
CoRR
Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel