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Julius Pfrommer
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2020 – today
- 2024
- [j13]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:
Self-learning and autonomously adapting manufacturing equipment for the circular factory. Autom. 72(9): 861-874 (2024) - [j12]Constantin Hofmann, Steffen Staab, Michael Selzer, Gerhard Neumann, Kai Furmans, Michael Heizmann, Jürgen Beyerer, Gisela Lanza, Julius Pfrommer, Tobias Düser, Jan-Felix Klein:
The role of an ontology-based knowledge backbone in a circular factory. Autom. 72(9): 875-883 (2024) - [j11]Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer:
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach. IEEE Trans. Multim. 26: 8432-8441 (2024) - [c20]Chengzhi Wu, Qianliang Huang, Kun Jin, Julius Pfrommer, Jürgen Beyerer:
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning. 3DV 2024: 528-538 - [c19]Florian Duewel, Andreas Ebner, Julius Pfrommer:
A Query Language for OPC UA Event Filters. ETFA 2024: 1-7 - [i9]Chengzhi Wu, Kaige Wang, Zeyun Zhong, Hao Fu, Junwei Zheng, Jiaming Zhang, Julius Pfrommer, Jürgen Beyerer:
Rethinking Attention Module Design for Point Cloud Analysis. CoRR abs/2407.19294 (2024) - 2023
- [j10]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:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. IEEE Trans. Knowl. Data Eng. 35(1): 614-633 (2023) - [c18]Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer:
Attention-based Part Assembly for 3D Volumetric Shape Modeling. CVPR Workshops 2023: 2717-2726 - [c17]Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer:
Attention-Based Point Cloud Edge Sampling. CVPR 2023: 5333-5343 - [c16]Julius Pfrommer, Matthieu Poyer, Saksham Kiroriwal:
Reduce the Handicap: Performance Estimation for AI Systems Safety Certification. INDIN 2023: 1-7 - [c15]Josephine Rehak, Anouk Sommer, Maximilian Becker, Julius Pfrommer, Jürgen Beyerer:
Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs. INDIN 2023: 1-7 - [c14]Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer:
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-Task Learning. VISIGRAPP (4: VISAPP) 2023: 529-540 - [c13]Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer:
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. WACV 2023: 4520-4529 - [i8]Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer:
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. CoRR abs/2301.04612 (2023) - [i7]Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer, Kangning Li, Boris Neubert:
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding. CoRR abs/2301.04613 (2023) - [i6]Chengzhi Wu, Linxi Qiu, Kanran Zhou, Julius Pfrommer, Jürgen Beyerer:
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning. CoRR abs/2301.05027 (2023) - [i5]Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans:
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. CoRR abs/2301.05028 (2023) - [i4]Chengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer:
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly. CoRR abs/2301.05033 (2023) - [i3]Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer:
Attention-based Point Cloud Edge Sampling. CoRR abs/2302.14673 (2023) - [i2]Chengzhi Wu, Junwei Zheng, Julius Pfrommer, Jürgen Beyerer:
Attention-based Part Assembly for 3D Volumetric Shape Modeling. CoRR abs/2304.10986 (2023) - 2022
- [j9]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:
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. Autom. 70(6): 504-516 (2022) - [j8]Julius Pfrommer, Jan-Felix Klein, Marco Wurster, Simon Rapp, Patric Grauberger, Gisela Lanza, Albert Albers, Sven Matthiesen, Jürgen Beyerer:
An ontology for remanufacturing systems. Autom. 70(6): 534-541 (2022) - [j7]Jürgen Beyerer, Julius Pfrommer, Thomas Usländer:
AI Systems Engineering - systematic development and operation of AI-based systems. Autom. 70(9): 753-755 (2022) - [j6]Julius Pfrommer, Thomas Usländer, Jürgen Beyerer:
KI-Engineering - AI Systems Engineering. Autom. 70(9): 756-766 (2022) - 2021
- [b1]Julius Pfrommer:
Distributed Planning for Self-Organizing Production Systems. Karlsruhe University, Germany, 2021 - [j5]Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer:
Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods. Sensors 21(7): 2397 (2021) - 2020
- [c12]Désirée Hilbring, Julius Pfrommer:
Übertragung eines Vorgehensmodells zur KI-Integration von der Industrie auf Umweltinformationssysteme. GI-Jahrestagung 2020: 1043-1057
2010 – 2019
- 2018
- [c11]Julius Pfrommer, Andreas Ebner, Siddharth Ravikumar, Bhagath Karunakaran:
Open Source OPC UA PubSub Over TSN for Realtime Industrial Communication. ETFA 2018: 1087-1090 - 2017
- [c10]Arndt Lüder, Miriam Schleipen, Nicole Schmidt, Julius Pfrommer, Robert Henssen:
One step towards an industry 4.0 component. CASE 2017: 1268-1273 - 2016
- [j4]Julius Pfrommer, Sten Grüner, Thomas Goldschmidt, Dirk Schulz:
A common core for information modeling in the Industrial Internet of Things. Autom. 64(9): 729-741 (2016) - [j3]Sten Grüner, Julius Pfrommer, Florian Palm:
RESTful Industrial Communication With OPC UA. IEEE Trans. Ind. Informatics 12(5): 1832-1841 (2016) - [c9]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:
Towards Flexibility in Future Industrial Manufacturing: A Global Framework for Self-organization of Production Cells. ANT/SEIT 2016: 1268-1273 - [c8]Julius Pfrommer, Miriam Schleipen, Selma Azaiez, Michael Boc, Loïc Cudennec, Selma Kchir, Xenia Klinge:
Deploying software functionality to manufacturing resources safely at runtime. ETFA 2016: 1-7 - [c7]Julius Pfrommer:
Semantic Interoperability at Big-Data Scale with the open62541 OPC UA Implementation. InterOSS@IoT 2016: 173-185 - [c6]Julius Pfrommer, Sten Grüner, Florian Palm:
Hybrid OPC UA and DDS: Combining architectural styles for the industrial internet. WFCS 2016: 1-7 - 2015
- [j2]Julius Pfrommer, Denis Stogl, Kiril Aleksandrov, Stefan Escaida Navarro, Björn Hein, Jürgen Beyerer:
Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems. Autom. 63(10): 790-800 (2015) - [c5]Florian Palm, Sten Grüner, Julius Pfrommer, Markus Graube, Leon Urbas:
Open source as enabler for OPC UA in industrial automation. ETFA 2015: 1-6 - [c4]Julius Pfrommer:
Exploration/Exploitation in Stochastic Distributed Constraint Optimization Settings. PAAMS (Special Sessions) 2015: 233-234 - [c3]Sten Grüner, Julius Pfrommer, Florian Palm:
A RESTful extension of OPC UA. WFCS 2015: 1-4 - 2014
- [j1]Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari:
Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems. IEEE Trans. Intell. Transp. Syst. 15(4): 1567-1578 (2014) - [c2]Julius Pfrommer, Denis Stogl, Kiril Aleksandrov, Viktor Schubert, Björn Hein:
Modelling and orchestration of service-based manufacturing systems via skills. ETFA 2014: 1-4 - 2013
- [c1]Julius Pfrommer, Miriam Schleipen, Jürgen Beyerer:
PPRS: Production skills and their relation to product, process, and resource. ETFA 2013: 1-4 - [i1]Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari:
Dynamic vehicle redistribution and online price incentives in shared mobility systems. CoRR abs/1304.3949 (2013)
Coauthor Index
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last updated on 2024-10-31 20:18 CET by the dblp team
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