Julius Pfrommer

53 papers A* 2A 1C 12Journal 27Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization.
CoRR
Saksham Kiroriwal, Julius Pfrommer, Jürgen Beyerer
2025 J jnl
6D Pose Estimation on Point Cloud Data through Prior Knowledge Integration: A Case Study in Autonomous Disassembly.
CoRR
Chengzhi Wu, Hao Fu, Jan-Philipp Kaiser, Erik Tabuchi Barczak, Julius Pfrommer, Gisela Lanza, Michael Heizmann, Jürgen Beyerer
2025 J jnl
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning.
CoRR
Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer
2025 — conf
Causal Temporal Neural Networks Using the Conditional Average Treatment Effect.
CAI
Shahenda Youssef, Julius Pfrommer, Jürgen Beyerer
2025 J jnl
Partially Observable Gaussian Process Network and Doubly Stochastic Variational Inference.
CoRR
Saksham Kiroriwal, Julius Pfrommer, Jürgen Beyerer
2025 A* conf
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity.
CVPR
Chengzhi Wu, Yuxin Wan, Hao Fu, Julius Pfrommer, Zeyun Zhong, Junwei Zheng, Jiaming Zhang, Jürgen Beyerer
2025 J jnl
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity.
CoRR
Chengzhi Wu, Yuxin Wan, Hao Fu, Julius Pfrommer, Zeyun Zhong, Junwei Zheng, Jiaming Zhang, Jürgen Beyerer
2024 — conf
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning.
3DV
Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer
2024 C conf
A OPC UA Based Execution Engine for Production Control in Decentral Organized Manufacturing.
INDIN
Andreas Ebner, Florian Duewel, Julius Pfrommer
2024 C conf
A Query Language for OPC UA Event Filters.
ETFA
Florian Duewel, Andreas Ebner, Julius Pfrommer
2024 C conf
Joint Parameter and State-Space Modelling of Manufacturing Processes using Gaussian Processes.
INDIN
Saksham Kiroriwal, Julius Pfrommer, Hendrik Mende, Robert H. Schmitt, Jürgen Beyerer
2024 — conf
Rethinking Attention Module Design for Point Cloud Analysis.
ICPR (26)
Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer
2024 J jnl
Rethinking Attention Module Design for Point Cloud Analysis.
CoRR
Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer
2024 J jnl
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach.
IEEE Trans. Multim.
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2024 J jnl
Self-learning and autonomously adapting manufacturing equipment for the circular factory.
Autom.
Jürgen Fleischer, Frederik Zanger, Volker Schulze, Gerhard Neumann, Nicole Stricker, Kai Furmans, Julius Pfrommer, Gisela Lanza, Malte Hansjosten, Patrick Fischmann, Julia Dvorak, Jan-Felix Klein, Felix Rauscher, Andreas Ebner, Marvin Carl May, Philipp Gönnheimer
2024 J jnl
The role of an ontology-based knowledge backbone in a circular factory.
Autom.
Constantin Hofmann, Steffen Staab, Michael Selzer, Gerhard Neumann, Kai Furmans, Michael Heizmann, Jürgen Beyerer, Gisela Lanza, Julius Pfrommer, Tobias Düser, Jan-Felix Klein
2023 A* conf
Attention-Based Point Cloud Edge Sampling.
CVPR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 — conf
Attention-based Part Assembly for 3D Volumetric Shape Modeling.
CVPR Workshops
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
Attention-based Part Assembly for 3D Volumetric Shape Modeling.
CoRR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
Attention-based Point Cloud Edge Sampling.
CoRR
Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer
2023 C conf
Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs.
INDIN
Josephine Rehak, Anouk Sommer, Maximilian Becker, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input.
CoRR
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2023 J jnl
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng.
Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
2023 J jnl
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors.
CoRR
Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans
2023 J jnl
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding.
CoRR
Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer, Kangning Li, Boris Neubert
2023 C conf
Reduce the Handicap: Performance Estimation for AI Systems Safety Certification.
INDIN
Julius Pfrommer, Matthieu Poyer, Saksham Kiroriwal
2023 A conf
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly.
WACV
Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer
2023 J jnl
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly.
CoRR
Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer
2023 — conf
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning.
VISIGRAPP (4: VISAPP)
Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer
2023 J jnl
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning.
CoRR
Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer
2022 J jnl
AI Systems Engineering - systematic development and operation of AI-based systems.
Autom.
Jürgen Beyerer, Julius Pfrommer, Thomas Usländer
2022 J jnl
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage.
Autom.
Gisela Lanza, Tamim Asfour, Jürgen Beyerer, Barbara Deml, Jürgen Fleischer, Michael Heizmann, Kai Furmans, Constantin Hofmann, Alexander Cebulla, Christian R. G. Dreher, Jan-Philipp Kaiser, Jan-Felix Klein, Fabian Leven, Simon Mangold, Norbert Mitschke, Nicole Stricker, Julius Pfrommer, Chengzhi Wu, Marco Wurster, Manuel Zaremski
2022 J jnl
An ontology for remanufacturing systems.
Autom.
Julius Pfrommer, Jan-Felix Klein, Marco Wurster, Simon Rapp, Patric Grauberger, Gisela Lanza, Albert Albers, Sven Matthiesen, Jürgen Beyerer
2022 J jnl
KI-Engineering - AI Systems Engineering.
Autom.
Julius Pfrommer, Thomas Usländer, Jürgen Beyerer
2021 — —
Distributed Planning for Self-Organizing Production Systems
Julius Pfrommer
2021 J jnl
Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods.
Sensors
Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer
2020 — conf
Übertragung eines Vorgehensmodells zur KI-Integration von der Industrie auf Umweltinformationssysteme.
GI-Jahrestagung
Désirée Hilbring, Julius Pfrommer
2018 C conf
Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication.
ETFA
Julius Pfrommer, Andreas Ebner, Siddharth Ravikumar, Bhagath Karunakaran
2017 — conf
One step towards an industry 4.0 component.
CASE
Arndt Lüder, Miriam Schleipen, Nicole Schmidt, Julius Pfrommer, Robert Henssen
2016 J jnl
A common core for information modeling in the Industrial Internet of Things.
Autom.
Julius Pfrommer, Sten Grüner, Thomas Goldschmidt, Dirk Schulz
2016 C conf
Deploying software functionality to manufacturing resources safely at runtime.
ETFA
Julius Pfrommer, Miriam Schleipen, Selma Azaiez, Michael Boc, Loïc Cudennec, Selma Kchir, Xenia Klinge
2016 C conf
Hybrid OPC UA and DDS: Combining architectural styles for the industrial internet.
WFCS
Julius Pfrommer, Sten Grüner, Florian Palm
2016 J jnl
RESTful Industrial Communication With OPC UA.
IEEE Trans. Ind. Informatics
Sten Grüner, Julius Pfrommer, Florian Palm
2016 — conf
Semantic Interoperability at Big-Data Scale with the open62541 OPC UA Implementation.
InterOSS@IoT
Julius Pfrommer
2016 — conf
Towards Flexibility in Future Industrial Manufacturing: A Global Framework for Self-organization of Production Cells.
ANT/SEIT
Selma Azaiez, Michael Boc, Loïc Cudennec, Max Da Silva Simoes, Jens Haupert, Selma Kchir, Xenia Klinge, Wael Labidi, Karima Nahhal, Julius Pfrommer, Miriam Schleipen, Christian Schulz, Thibaud Tortech
2015 C conf
A RESTful extension of OPC UA.
WFCS
Sten Grüner, Julius Pfrommer, Florian Palm
2015 — conf
Exploration/Exploitation in Stochastic Distributed Constraint Optimization Settings.
PAAMS (Special Sessions)
Julius Pfrommer
2015 C conf
Open source as enabler for OPC UA in industrial automation.
ETFA
Florian Palm, Sten Grüner, Julius Pfrommer, Markus Graube, Leon Urbas
2015 J jnl
Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems.
Autom.
Julius Pfrommer, Denis Stogl, Kiril Aleksandrov, Stefan Escaida Navarro, Björn Hein, Jürgen Beyerer
2014 J jnl
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems.
IEEE Trans. Intell. Transp. Syst.
Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari
2014 C conf
Modelling and orchestration of service-based manufacturing systems via skills.
ETFA
Julius Pfrommer, Denis Stogl, Kiril Aleksandrov, Viktor Schubert, Björn Hein
2013 J jnl
Dynamic vehicle redistribution and online price incentives in shared mobility systems
CoRR
Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari
2013 C conf
PPRS: Production skills and their relation to product, process, and resource.
ETFA
Julius Pfrommer, Miriam Schleipen, Jürgen Beyerer