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Timo Kaiser
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2020 – today
- 2024
- [i6]Timo Kaiser, Maximilian Schier, Bodo Rosenhahn:
Cell Tracking according to Biological Needs - Strong Mitosis-aware Random-finite Sets Tracker with Aleatoric Uncertainty. CoRR abs/2403.15011 (2024) - [i5]Timo Kaiser, Vladimír Ulman, Bodo Rosenhahn:
CHOTA: A Higher Order Accuracy Metric for Cell Tracking. CoRR abs/2408.11571 (2024) - 2023
- [c3]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CVPR Workshops 2023: 3267-3278 - [c2]Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn:
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. ICCV (Workshops) 2023: 1226-1235 - [i4]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CoRR abs/2304.13428 (2023) - [i3]Patrick Glandorf, Timo Kaiser, Bodo Rosenhahn:
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization. CoRR abs/2308.07163 (2023) - 2022
- [i2]Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn:
Blind Knowledge Distillation for Robust Image Classification. CoRR abs/2211.11355 (2022) - 2021
- [c1]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. ICCV 2021: 6310-6320 - [i1]Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel:
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. CoRR abs/2108.10606 (2021)
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last updated on 2024-09-28 01:28 CEST by the dblp team
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