Aktuelle Publikationen

September 2023

Unsupervised learning of style-aware facial animation from real acting performances

Wolfgang Paier, Peter Eisert, Anna Hilsmann

This paper presents a novel approach for text/speech-driven animation of a photo-realistic head model based on blend-shape geometry, dynamic textures, and neural rendering. Training a VAE for geometry and texture yields a parametric model for...

September 2023

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Felix Sattler, Wojciech Samek, Roman Rischke, Tim Korjakow

In this work, we propose FEDAUX, an extension to Federated Distillation, which, under the same set of assumptions, drastically improves the performance by deriving maximum utility from the unlabeled auxiliary data. Our proposed method achieves...

September 2023

Hybrid semantic clustering of 3D point clouds in construction

Marcus Zepp

In this work, we present an artificial intelligence (AI)-based semantic segmentation approach for three-dimensional (3D) point clouds which were generated from 2D images with a structure from motion (SfM) pipeline. We utilize state-of-the-art...

September 2023

3D Hyperspectral Light-Field Imaging: a first intraoperative implementation

Eric Wisotzky, Peter Eisert, Anna Hilsmann

Hyperspectral imaging is an emerging technology that has gained significant attention in the medical field due to its ability to provide precise and accurate imaging of biological tissues. The current methods of hyperspectral imaging, such as...

September 2023

Surgical Phase Recognition for different hospitals

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Sophie Beckmann, Lasse Renz-Kiefel, sebastian Lünse, Rene Mantke

Surgical phase recognition is an important aspect of surgical workflow analysis, as it allows an automatic analysis of the performance and efficiency of surgical procedures. A big challenge for training a neural network for surgical phase...

September 2023

From Multispectral-Stereo to Intraoperative Hyperspectral Imaging: a Feasibility Study

Eric Wisotzky, Peter Eisert, Anna Hilsmann, Philipp Arens, Benjamin Kossack, Brigitta Globke, Jost Triller

Spectral imaging allows to analyze optical tissue properties that are invisible to the naked eye. We present a novel approach using two multispectral snapshot cameras covering different spectral ranges as a stereo-system. The proposed method...

September 2023

Automatic Registration of Anatomical Structures of Stereo-Endoscopic Point Clouds

Sophie Beckmann, Peter Eisert, Anna Hilsmann, Jean-Claude Rosenthal, Eric Wisotzky

In this paper, we present an analysis and registration pipeline for confined point clouds acquired by stereo endoscopes into a fused representation. For a coarse registration, TEASER is applied, while a refinement is conducted utilizing...

September 2023

Video-Driven Animation of Neural Head Avatars

Wolfgang Paier, Peter Eisert, Anna Hilsmann, Paul Hinzer

We present a new approach for video-driven animation of high-quality neural 3D head models, addressing the challenge of person-independent animation from video input.In order to achieve person-independent animation from video input, we introduce...

August 2023

Eight-channel SiNx microring–resonator based photonic biosensor for label-free fluid analysis in the optical C-band

Jakob Reck, Norbert Keil, Martin Schell, Moritz Kleinert, Crispin Zawadzki, David de Felipe Mesquida, Martin Kresse, Hauke Conradi, Tianwen Qian, Cafercan Yilmaz, Madeleine Weigel, Klara Mihov, Christina Hoffmann, Peter Hoffmann, Vera Froese, Ulrich Kertzscher, Kristina Mykhailiuk, Julia Michaelis, Wilfired Weigel, Sören Scholand, Hans-Jürgen Heupke

A lab-on-a-chip multichannel sensing platform for biomedical analysis based on optical silicon nitride (SiNx) microring-resonators (MRR) was established. The resonators were surface functionalized and finally combined with a microfluidic chamber...

August 2023

Diffuse-scattering-informed Geometric Channel Modeling for THz Wireless Communications Systems

Leyre Azpilicueta, Alper Schultze, Mikel Celaya-Echarri, Raed. M. Shubair, Francisco Falcone, Fidel A. Rodríguez-Corbo, Costas Constantinou, Miguel Navarro-Cía

This paper validates an in-house three-dimensional ray-launching (3D-RL) algorithm with a channel sounder measurement campaign that has been performed in a typical indoor environment at 300 GHz.

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