Peter Eisert

Professor Visual Computing

Humboldt-Universität zu Berlin

Germany

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Professor Peter Eisert is a faculty member at Humboldt-Universität zu Berlin in Germany. His research focuses on visual computing, exploring areas such as computer vision algorithms, 3D imaging, and augmented reality systems. He has contributed to advancements in multimodal interfaces and object detection, as well as the intersection of deep learning and visual safety applications.

Articles (12)

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2025

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2021

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2021

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2021

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2020

Collaborators (5)

Clemens Seibold

Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut

GERMANY

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Sonia Crottaz-Herbette

Senior Lecturer Privat-Docent Maitre d'Enseignement et de recherche

CHU

SWITZERLAND

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Anna Hilsmann

Head of Vision & Imaging Technologies Department, Head of Computer Vision & Graphics Group

Fraunhofer ICT

GERMANY

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Eleni Mangina

Professor & VP (International) College of Science

Dublin City University

IRELAND

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André Barriguinha

Universidade de Aveiro

PORTUGAL

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Peter Eisert

Research Interests

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About

Articles (12)

Next Generation XR Systems—Large Language Models Meet Augmented and Virtual Reality

Visual Fire Safety Inspection Framework Using Computer Vision Algorithms

Intraoperative measurements in stapedotomy using 3D stereo imaging for optimal prosthesis length selection

3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point Clouds

Data Fusion for Cross-Domain Real-Time Object Detection on the Edge

Assessing the Value of Multimodal Interfaces: A Study on Human–Machine Interaction in Weld Inspection Workstations

Telepresence for surgical assistance and training using eXtended reality during and after pandemic periods

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

Example-Based Facial Animation of Virtual Reality Avatars Using Auto-Regressive Neural Networks

Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope

Collaborators (5)

Clemens Seibold

Sonia Crottaz-Herbette

Anna Hilsmann

Eleni Mangina

André Barriguinha

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