GPU Work Graphs for Geometry-Node-Style Procedural Modeling
Raad, Josué; Kuth, Bastian; Ribardière , Mickaël; Meneveaux , Daniel; Gilet , Guillaume (2025)
Raad, Josué; Kuth, Bastian; Ribardière , Mickaël; Meneveaux , Daniel...
Journées françaises de l'informatique graphique édition 2025 2025.
German Translation of the Human-Robot Interaction Evaluation Scale - HRIES
Kühnlenz, Kolja Ernst; Kühnlenz, Barbara (2025)
Open Access
A German translation of the Human-Robot Interaction Evaluation Scale (HRIES) from Spatola et al. 2021 is presented and estimates of reliability from previous studies are provided.
A Uniform Assessment of Host-Based Intrusion Detection Data Sets
Bergner, Kevin; Landes, Dieter (2025)
Computers and Security 2025 (104503).
DOI: 10.1016/j.cose.2025.104503
Peer Reviewed
Animating geometry with AMD DGF
Reitter, Sander; Meyer, Quirin ; Barczak, Joshua (2025)
GPUOpen.com.
Open Access
Motor interference of elbow configuration changes in human-robot interaction
Kaya, Mertcan; Becker, Kevon; Först, Christian; Greve, Jannik; Keller, Jan; Meserle, Maximilian; Siegel, Raphael; Stelzer, Jonas; Kühnlenz, Kolja Ernst (2025)
Kaya, Mertcan; Becker, Kevon; Först, Christian; Greve, Jannik; Keller, Jan...
26 (1), 131-149.
Peer Reviewed
Learner Models: Design, Components, Structure, and Modelling - A Systematic Literature Review
Böck, Felix; Ochs, Michaela; Henrich, Andreas; Landes, Dieter; Leidner, Jochen L.; Sedelmaier, Yvonne (2025)
Böck, Felix; Ochs, Michaela; Henrich, Andreas; Landes, Dieter; Leidner, Jochen L....
User Modeling and User-Adapted Interaction 35, 15.
Open Access Peer Reviewed
Learning is at the heart of every progress the human species makes. It is most effective when it considers who we are as individuals, what learning approach we prefer and what we already know to begin with. In the digital age, we strive to capture such information in the form of a digital representation -- the so-called learner model --, to tailor learning-related systems to this information and build upon it to create more personalised learning experiences. Over recent years, the proliferation of diverse models across various educational applications and disciplines has made it challenging to access targeted research.
In this survey, we aim to address this gap, reviewing the latest advances in learner modelling and conducting a comprehensive analysis of the existing approaches, focusing on developments from 2014 to 2023. With the help of a systematic literature review, we want to provide designers and developers of learner models with a structured overview and simplified entrance into the topic and the field of learner models. We investigate the question: What do learner models look like and how are they filled, kept up-to-date, and used?
To this end, we analyse and classify existing approaches. Our findings provide a comprehensive and structured overview of the field of learner modelling, allowing researchers to navigate and understand the diverse approaches more easily and providing developers of learner models or adaptive systems with a practical tool to access relevant information according to their needs.
Investigations on algorithm selection for interval-based coding methods
Strutz, Tilo; Schreiber, Nico (2025)
Multimedia Tools and Applications.
DOI: 10.1007/s11042-025-20971-3
Peer Reviewed
There is a class of entropy-coding methods which do not substitute symbols by code words (such as Huffman coding), but operate on intervals or ranges and thus allow a better approximation of the data entropy. This class includes three prominent members: conventional arithmetic coding, range coding, and coding based on asymmetric numeral systems. To determine the correct symbol in the decoder, each of these methods requires the comparison of a state variable with subinterval boundaries.
In adaptive operation, considering varying symbol statistics, an array of interval boundaries must additionally be kept up to date. The larger the symbol alphabet, the more time-consuming both the search for the correct subinterval and the updating of interval borders become. These entropy coding methods play an important role in all data transmission and storage applications, and optimising speed can be crucial.
Based on detailed pseudo-code, different known and proposed approaches are discussed to speed up the symbol search in the decoder and the adaptation of the array of interval borders, both depending on the chosen alphabet size. It is shown that reducing the big O complexity in practical implementations does not necessarily lead to an acceleration, especially if the alphabet size is too small. For example, the symbol determination at the decoder shows an expected low cpu-clock ratio (O(logn) algorithm versus O(n) algorithm) of about 0.62 for an alphabet with 256 symbols. However, for an alphabet with only 4 symbols, this ratio is 1.05, that means the algorithm with lower theoretical complexity executes slightly faster here. In adaptive compression mode, the binary indexing (BI) method proves to be superior when considering the overall processing time. Although the symbol search (in the decoder) takes longer than using other algorithms (e.g. cpu-clock ratio BI/O(logn) is 1.57), the faster updating of the array of interval borders more than compensates for this disadvantage (total ratio BI/O(logn) is 0.72). A variant of the binary indexing method is proposed, which is more flexible and has a partially lower complexity than the original approach. Specifically, the rescaling of cumulative counts can be reduced in its complexity from O(4n+[log2(n)−2]·n/2) to O(3n).
Towards Motor Interference of Limb Configuration Changes–A Potential Measure for Human-Likeness of Robots
Kaya, Mertcan; Bauer, Jannik; Nickl, Fabian; Kühnlenz, Kolja Ernst (2025)
Proc of the International Conference on Human-Computer Interaction (HCII).
Peer Reviewed
Real-Time GPU Tree Generation
Kuth, Bastian; Oberberger, Max; Faber, Carsten; Seyedmasih, Tabaei; Baumeister, Dominik; Meyer, Quirin ; Pfeifer, Pirmin (2025)
Kuth, Bastian; Oberberger, Max; Faber, Carsten; Seyedmasih, Tabaei; Baumeister, Dominik...
High-Performance Graphics - Symposium Papers 2025.
DOI: 10.2312/hpg.20251168
Open Access Peer Reviewed
Trees for real-time media are typically created using procedural algorithms and then baked to a polygon format, requiring large amounts of memory. We propose a novel procedural system and model for generating and rendering realistic trees and similar vegetation specifically tailored to run in real-time on GPUs. By using GPU work graphs with mesh nodes, we render gigabytes-worth of tree geometry from kilobytes of generation code every frame exclusively on the GPU. Contrary to prior work, our method combines instant in-engine artist authoring, continuous frame-specific level of detail and tessellation, highly detailed animation, and seasonal details like blossoms, fruits, and snow. Generating the unique tree geometries of our teaser test scene and rendering them to the G-buffer takes 3.13 ms on an AMD Radeon RX 7900 XTX.
Autonomous Vehicle eHMI Communication Modalities: Pedestrian Preferences in Crossing Scenarios
Rais, Cherif Mohamed; Kühnlenz, Barbara; Kühnlenz, Kolja Ernst (2024)
at - Automatisierungstechnik 72 (12), 1160-1168.
Peer Reviewed
GPU Work Graphs - mastering the future of GPU programming
Kuth, Bastian; Oberberger, Max; Meyer, Quirin (2024)
Mesh shaders on AMD RDNA™ graphics cards: Meshlet Compression
Kuth, Bastian; Oberberger, Max; Meyer, Quirin (2024)
Open Access
Benchmarking of Synthetic Network Data: Reviewing Challenges and Approaches
Wolf, Maximilian; Tritscher, J.; Landes, Dieter; Hotho, Andreas; Schlör, D. (2024)
Computers and Security 2024 (145), 103993.
DOI: 10.1016/j.cose.2024.103993
Peer Reviewed
Improved Sampling of IV Measurements
Schönau, Maximilian; Schönau, Elisabeth; Daume, Darwin; Panhuysen, Markus; Schulze, Achim; Hüttl, Bernd; Landes, Dieter (2024)
Schönau, Maximilian; Schönau, Elisabeth; Daume, Darwin; Panhuysen, Markus...
Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/3AV.3.50
Peer Reviewed
Hindcasting Solar Irradiance by Machine Learning Using Photovoltaic Data
Schönau, Maximilian; Daume, Darwin; Panhuysen, Markus; Kreller, Tristan; Jachmann, Joseph; Schulze, Achim; Hüttl, Bernd; Landes, Dieter (2024)
Schönau, Maximilian; Daume, Darwin; Panhuysen, Markus; Kreller, Tristan...
Proceedings of 41th European Photovoltaic Solar Energy Conference and Exhibition.
DOI: 10.4229/EUPVSEC2024/4CV.1.4
Peer Reviewed
Towards Practical Meshlet Compression
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian; Chajdas, Matthäus; Meyer, Quirin (2024)
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian...
Vortrag auf der VMV 2024.
Peer Reviewed
Towards Practical Meshlet Compression
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian; Chajdas, Matthäus; Meyer, Quirin (2024)
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian...
Buch (Sammelband) 2024.
DOI: 10.2312/vmv.20241204
Open Access Peer Reviewed
Real-Time Procedural Generation with GPU Work Graphs
Kuth, Bastian; Oberberger, Max; Faber, Carsten; Baumeister, Dominik; Chajdas, Matthäus; Meyer, Quirin (2024)
Kuth, Bastian; Oberberger, Max; Faber, Carsten; Baumeister, Dominik; Chajdas, Matthäus...
Zeitschrift 7 (3), 47.
DOI: 10.1145/3675376
Peer Reviewed
A Novel Recursive Algorithm for the Implementation of Adaptive Robot Controllers
Kaya, Mertcan; Akbulut, Mehmet Ali ; Bayraktaroglu, Zeki Yagiz; Kühnlenz, Kolja Ernst (2024)
Kaya, Mertcan; Akbulut, Mehmet Ali ; Bayraktaroglu, Zeki Yagiz...
Journal of Intelligent & Robotic Systems 115, 110.
DOI: 10.1007/s10846-024-02135-x
Open Access Peer Reviewed
Real-Time Procedural Generation with GPU Work Graphs
Kuth, Bastian; Oberberger, Max; Baumeister, Dominik; Chajdas, Matthäus; Meyer, Quirin (2024)
Kuth, Bastian; Oberberger, Max; Baumeister, Dominik; Chajdas, Matthäus...
Vortrag auf der HPG 2024.
Open Access Peer Reviewed
Fakultät Elektrotechnik und Informatik (FEI)
Hochschule Coburg
Friedrich-Streib-Str. 2
96450 Coburg
Monika Schnabel
Forschungsreferentin, EU-Referentin
T +49 9561 317 8062
monika.schnabel[at]hs-coburg.de