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Christian Wirth

2 accepted papers

2025

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification

RSS 2025poster

Deep learning-based trajectory prediction models have demonstrated promising capabilities in capturing complex interactions. However, their generalization beyond the available training data, limited in both size and diversity, remains a significant challenge. To improve generalization, we propose SH…

Cited by 0PDFcodeScholar
2024

Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection

UAI 2024poster

Object detectors in real-world applications often fail to detect objects due to varying factors such as weather conditions and noisy input. Therefore, a process that mitigates false detections is crucial for both safety and accuracy. While uncertainty-based thresholding shows promise, previous works…