737 citations
- Universität UlmDE65 papers
- Helmholtz-Institute UlmDE7 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE5 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR3 papers
- Robert Bosch (Netherlands)NL3 papers
- Technical University of DenmarkDK3 papers
- University of CambridgeGB3 papers
- Center for Integrated Quantum Science and TechnologyDE2 papers
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- Jet Propulsion LaboratoryUS2 papers
- Robert Bosch (Germany)DE2 papers
5 papers · 1 filter
Leveraging Self-Supervised Vision Transformers for Segmentation-based Transfer Function Design
Dominik Engel, Leon Sick, Timo Ropinski
In volume rendering, transfer functions are used to classify structures of interest, and to assign optical properties such as color and opacity. They are commonly defined as 1D or…
Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with Small Datasets in Deep Learning for Medical Imaging
Daniel Wolf, Tristan Payer, Catharina Silvia Lisson +4
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning mod…
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
Di Feng, Zining Wang, Yiyang Zhou +5
The availability of many real-world driving datasets is a key reason behind the recent progress of object detection algorithms in autonomous driving. However, there exist ambiguity…
Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion
Andreas Pfeuffer, Klaus Dietmayer
A robust and reliable semantic segmentation in adverse weather conditions is very important for autonomous cars, but most state-of-the-art approaches only achieve high accuracy rat…
Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
Andreas Pfeuffer, Klaus Dietmayer
A good and robust sensor data fusion in diverse weather conditions is a quite challenging task. There are several fusion architectures in the literature, e.g. the sensor data can b…