Given the increasing prevalence of intelligent systems capable of autonomous actions or
augmenting human activities, it is important to consider scenarios in which the human …

When humans and autonomous systems operate together as what we refer to as a hybrid
team, we of course wish to ensure the team operates successfully and effectively. We refer to …

We propose a pixel-accurate failure prediction approach for semantic video segmentation.
The proposed scheme improves previously proposed failure prediction methods which so …

We propose the concept of error-reversing autoencoders (ERA) for correcting pixel-wise
errors made by an arbitrary semantic segmentation model. For this, we reframe the …

The quality of semantic image segmentation models can be affected by external factors such
as weather or daytime. Those factors can lead to safety-critical mistakes. In this work, we …

Multimodal object detection fuses different sensors such as camera or LIDAR to improve the
detection performance. However, individual sensor inputs can also be detrimental to a …