Aktuelle Publikationen

September 2021

Influence of losses on the Laser Voltage drop of the active section

Magnus Happach, Norbert Keil, Martin Schell, Moritz Kleinert, Walter Brinker, Crispin Zawadzki, Martin Moehrle, David de Felipe Mesquida, Martin Kresse, Gelani Irmscher, Werner Hofmann, Victor Nicolai Friedhoff

A model of a tunable distributed Bragg reflector (DBR) laser describing the effect of cavity losses on the gain voltage is presented. Theoretical and experimental results are in good agreement. Measurements show the gain voltage trace for Bragg...


September 2021

Feature Focus: Towards Explainable and Transparent Deep Face Morphing Attack Detectors

Clemens Peter Seibold, Peter Eisert, Anna Hilsmann

In this paper, we present Feature Focus, a new transparent face morphing detector based on a modified VGG-A architecture and an additional feature shaping loss function, as well as Focused Layer-wise Relevance Propagation (FLRP), an extension of...


September 2021

Formation of Titanium Nitride, Titanium Carbide and Silicon Carbide Surfaces by High Power Femtosecond Laser Treatment

R. Fedorov, Wolfgang Schade, Karl Wöbbeking, Mingji Li, Eike Hübner, Felix Lederle, V. Olszok

Surface treatment with femtosecond laser pulses at high repetition rates in the presence of gaseous sources for nitrogen and carbon leads to the formation of stable coatings with nitrides and carbides. High power femtosecond laser setups fill the...


September 2021

Endoskopische Vermessung von Nasenseptumdefekten

Jean-Claude Rosenthal, Peter Eisert, Anna Hilsmann, Eric Wisotzky, Florian C. Uecker, Carsten Matuschek, Melanie Hobl

In the context of otorhinolaryngologic surgery, we present a gentle approach to treating NSP with a new image-based, contactless, and radiation-free measurement method using a 3D endoscope. The method relies on image information only and makes...


September 2021

2D Optical Phased Arrays for Laser Beam Steering Based on 3D Polymer Photonic Integrated Circuits

Adam Raptakis, Christos Kouloumentas, Moritz Kleinert, Hercules Avramopoulos, Norbert Keil, Panos Groumas, Lefteris Gounaridis, Christos Tsokos, Madeleine Weigel, Michalis Georgiopoulos, Elias Mylonas

A novel concept for the implementation of 2-dimensional (2D) optical phased arrays (OPAs) with end-fire waveguides as antenna elements (AEs) is proposed and its theoretical model and experimental proof is presented. The concept is based on the...


September 2021

COMPASS: localization in laparoscopic visceral surgery

Regine Hartwig, Jean-Claude Rosenthal, Dirk Wilhelm, Hubertus Feussner, Daniel Ostler, Maximilian Berlet, Kevin Yu

Tracking of surgical instruments is an essential step towards the modernization of the surgical workflow by a comprehensive surgical landscape guidance system (COMPASS). Real-time tracking of a laparoscopic camera used in minimally-invasive...


September 2021

Influence of losses on the Laser Voltage drop of the active section

Magnus Happach, Norbert Keil, Martin Schell, Moritz Kleinert, Walter Brinker, Crispin Zawadzki, Martin Moehrle, David de Felipe Mesquida, Martin Kresse, Gelani Irmscher, Werner Hofmann, Victor Nicolai Friedhoff

A model of a tunable distributed Bragg reflector (DBR) laser describing the effect of cavity losses on the gain voltage is presented. Theoretical and experimental results are in good agreement. Measurements show the gain voltage trace for Bragg...


September 2021

An Efficient Multi-Link Channel Model for LiFi

Sreelal Maravanchery Mana, Volker Jungnickel, Jonas Hilt, Peter Hellwig, Sepideh Mohammadi Kouhini, Kerolos Gabra Kamel Gabra

The emergence of LiFi for indoor communications opens up new possibilities for wireless services in crowded multiuser scenarios. The deployment of LiFi in indoor scenarios is challenging due to the line-of-sight (LOS) blockage as well as...


August 2021

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

Felix Sattler, Klaus-Robert Müller, Wojciech Samek

Federated learning (FL) is the most widely adopted framework for collaborative training of deep learning models under privacy constraints. Albeit its popularity, it has been observed that FL yields suboptimal results if the clients’ data...


August 2021

FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons

Simon Wiedemann, Thomas Wiegand, Wojciech Samek, Friedel Gerfers, Daniel Becking, Suhas Shivapakashy, Pablo Wiedemann

With the growing demand for deploying Deep Learning models to the “edge”, it is paramount to develop techniques that allow to execute models within very tight and limited resource constraints. In this work we propose a software-hardware...



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