14 citations · 18 across the 7 of their papers we have counts for
7 papers
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
Karim Armanious, Maurice Quach, Michael Ulrich +25
This paper introduces the Bosch street dataset (BSD), a novel multi-modal large-scale dataset aimed at promoting highly automated driving (HAD) and advanced driver-assistance syste…
Prompt Tuning for Parameter-efficient Medical Image Segmentation
Marc Fischer, Alexander Bartler, Bin Yang
Neural networks pre-trained on a self-supervision scheme have become the standard when operating in data rich environments with scarce annotations. As such, fine-tuning a model to…
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
Alexander Bartler, Florian Bender, Felix Wiewel +1
Nowadays, deep neural networks outperform humans in many tasks. However, if the input distribution drifts away from the one used in training, their performance drops significantly.…
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
Nico Reick, Felix Wiewel, Alexander Bartler +1
One major drawback of state-of-the-art artificial intelligence is its lack of explainability. One approach to solve the problem is taking causality into account. Causal mechanisms…
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Robert A. Marsden, Alexander Bartler, Mario Döbler +1
Deep convolutional neural networks have considerably improved state-of-the-art results for semantic segmentation. Nevertheless, even modern architectures lack the ability to genera…
Anomaly Detection Based on Selection and Weighting in Latent Space
Yiwen Liao, Alexander Bartler, Bin Yang
With the high requirements of automation in the era of Industry 4.0, anomaly detection plays an increasingly important role in higher safety and reliability in the production and m…