Aktuelle Publikationen

Juli 2021

Fiber-based Frequency Modulated LiDAR With MEMS Scanning Capability for Long-range Sensing in Automotive Applications

Sarah Cwalina, Volker Jungnickel, Patrick Runge, Ronald Freund, Christoph Kottke, Pascal Rustige, Thomas Knieling, Shansan Gu-Stoppel, Jörg Albers, Norman Laske, Frank Senger, Lianzhi Wen, Fabio Giovanneschi, Erdem Altuntac, Avinash Nittur Ramesh, Maria Antonia Gonzalez Huici, Andries Küter, Sangeeta Reddy

Safe operation of driver assistance systems remains a challenge, especially at higher speeds. It requires sensor technology that is capable of detecting surrounding conditions even at large distances. LiDAR technology is a cornerstone of this...


Juli 2021

Validation of two Techniques for Intraoperative Hyperspectral Human Tissue Determination

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Florian Uecker, Philipp Arens, Benjamin Kossack

In this paper, we introduce and validate two different hyperspectral intraoperative imaging setups and their use for the analysis of optical tissue properties. First, we present an improved multispectral filter-wheel setup integrated into a fully...


Juli 2021

Focused LRP: Explainable AI for Face Morphing Attack Detection

Clemens Peter Seibold, Peter Eisert, Anna Hilsmann

The task of detecting morphed face images has becomehighly relevant in recent years to ensure the security of automaticverification systems based on facial images, e.g.automated border control gates. Detection methods basedon Deep Neural Networks...


Juli 2021

Overview of the Neural Network Compression and Representation (NNR) Standard

Heiner Kirchhoffer, Karsten Müller, Werner Bailer, Fabien Racape, Wojciech Samek, Shan Liu, Miska M. Hannuksela, Paul Haase, Hamed Rezazadegan-Tavakoli, Francesco Cricri, Emre Aksu, Wei Jiang, Wei Wang, Swayambhoo Jain, Shahab Hamidi-Rad

Neural Network Coding and Representation (NNR) is the first international standard for efficient compression of neural networks. The NNR standard contains quantization and an arithmetic coding scheme as core encoding and decoding technologies, as...


Juni 2021

Photoconductive THz Sources Driven at 1550 nm

E.R. Brown, A. Steiger, Björn Globisch, Daniel Segovia-Vargas, A. Rivera

In this book chapter we review photoconductive (PC) terahertz (THz) sources in the 1550-nm region. We contrast the two most common types of devices in the context of the two common implementations as PC switches and photomixers. We also...


Juni 2021

Tunable DBR Laser with Integrated Optical Isolator

Conradi, Hauke

Integration of a tunable DBR laser with an optical isolator in a polymer platform achieves 38 dB isolation over 17 nm tuning range and 5.6 mW output power. This is the first demonstrated integration of a DBR laser together with an optical...


Juni 2021

Exploring Button Designs for Mid-air Interaction in Virtual Reality: A Hexa-metric Evaluation of Key Representations and Multi-modal Cues

Carlos Bermejo, David Przewozny, Paul Chojecki, LIK-HANG Lee, Pan Hui

The continued advancement in user interfaces comes to the era of virtual reality that requires a better understanding of how users will interact with 3D buttons in mid-air. Although virtual reality owns high levels of expressiveness and...


Juni 2021

Multiparametric MRI for characterization of the basal ganglia and the midbrain

Till M. Schneider, Jackie Ma, Patrick Wagner, Nicolas Behl, Armin Michael Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus, Sina Straub

In this joint work with the University of Heidelberg, German Cancer Research Center, University Hospital of Erlangen we showed that multimodal quantitative MR enabled excellent differentiation of a wide spectrum of subcortical nuclei with...


Juni 2021

Inverse-Designed InP-Based Polarization Rotator-Splitter

Hendrik Boerma

A size-reduced InP-based inverse-designed polarization rotator splitter is presented, being the first demonstration of a topology optimized passive waveguide component on InP. The manufactured device has extinction ratios >10dB for both...


Mai 2021

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding

Felix Sattler, Wojciech Samek, Arturo Marban, Roman Rischke

Communication constraints prevent the wide-spread adoption of Federated Learning systems. In this work, we investigate Federated Distillation (FD) from the perspective of communication efficiency by analyzing the effects of active...



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