234 citations · 938 across the 65 of their papers we have counts for
10 papers · 1 filter
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
Mehdi Naouar, Gabriel Kalweit, Anusha Klett +6
In recent years, several unsupervised cell segmentation methods have been presented, trying to omit the requirement of laborious pixel-level annotations for the training of a cell…
Multi-intention Inverse Q-learning for Interpretable Behavior Representation
Hao Zhu, Brice De La Crompe, Gabriel Kalweit +4
In advancing the understanding of natural decision-making processes, inverse reinforcement learning (IRL) methods have proven instrumental in reconstructing animal's intentions und…
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning
Lukas AW Gemein, Robin T Schirrmeister, Joschka Boedecker +1
The brain's biological age has been considered as a promising candidate for a neurologically significant biomarker. However, recent results based on longitudinal magnetic resonance…
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation
Mariella Dreissig, Florian Piewak, Joschka Boedecker
The confidence calibration of deep learning-based perception models plays a crucial role in their reliability. Especially in the context of autonomous driving, downstream tasks lik…
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
Suresh Guttikonda, Jan Achterhold, Haolong Li +2
In autonomous navigation settings, several quantities can be subject to variations. Terrain properties such as friction coefficients may vary over time depending on the location of…
Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang +2
Geometric regularity, which leverages data symmetry, has been successfully incorporated into deep learning architectures such as CNNs, RNNs, GNNs, and Transformers. While this conc…