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ORCIDJulius Schöning
Person information
- affiliation: University of Osnabrück, Germany
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2020 – today
- 2024
[j6]Axel Schaffland
, Julius Schöning:
High Accurate Rephotographic Image Registration by Attention Masks: Enabling Intention-Driven Rephotographic Image Registration With Interactive Areas of Interest Masks. IEEE Access 12: 7519-7530 (2024)- [j5]Charles Moudina Varmantchaonala, Jean Louis Fendji Kedieng Ebongue, Julius Schöning, Marcellin Atemkeng:
Quantum Natural Language Processing: A Comprehensive Survey. IEEE Access 12: 99578-99598 (2024) - [j4]Niklas Kruse, Julius Schöning:
Legal conform data sets for yard tractors and robots. Comput. Electron. Agric. 223: 109106 (2024) - [c31]Axel Schaffland, Celina Müller, Julius Schöning:
Promoting the Digital Transformation of STEM Education with the Mechanical Neural Network, a Physical Model for Future-Oriented and Student-Centered AI Education. EDUCON 2024: 1-10 - [c30]Niklas Kruse, Paul Wachter, Julius Schöning:
Compliance of agricultural AI systems - app-based legal verification throughout the development. GIL 2024: 119-130 - [c29]Paul Wachter, Niklas Kruse, Julius Schöning:
Synthetic fields, real gains. GIL 2024: 437-442 - [i6]Julius Schöning, Tim Wawer, Kai-Michael Griese:
AI for non-programmers: Applied AI in the lectures for students without programming skills. CoRR abs/2403.05547 (2024) - [i5]Tima M. Yekta, Julius Schöning:
Keep Calm and Relax - HMI for Autonomous Vehicles. CoRR abs/2408.09046 (2024) - 2023
- [j3]Julius Schöning, Jan Kettler, Milena I. Jäger, Artur Gunia:
Grand Theft Auto-Based Cycling Simulator for Cognitive Enhancement Technologies in Dangerous Traffic Situations. Sensors 23(7): 3672 (2023) - [c28]Axel Schaffland, Julius Schöning:
Mechanical Neural Network: Making AI Comprehensible for Everyone. GECon 2023: 1-6 - [i4]Julius Schöning, Clemens Westerkamp:
AI-in-the-Loop - The impact of HMI in AI-based Application. CoRR abs/2303.11508 (2023) - [i3]Julius Schöning, Niklas Kruse:
AI-Supported Assessment of Load Safety. CoRR abs/2306.03795 (2023) - 2022
- [c27]Dominik Walczuch, Tim Nitzsche, Tim Seidel, Julius Schöning:
Overview of Closed-Loop Control Systems and Artificial Intelligence Utilization in Greenhouse Farming. COINS 2022: 1-6 - [c26]Julius Schöning, Adrian Riechmann, Hans-Jürgen Pfisterer:
AI for Closed-Loop Control Systems: New Opportunities for Modeling, Designing, and Tuning Control Systems. ICMLC 2022: 318-323 - [c25]Axel Schaffland, Julius Schöning, Oliver Vornberger, Gunther Heidemann:
Climate Change Combat and Disaster Management with re.photos, the Web Portal for Rephotography. IHTC 2022: 69-72 - [c24]Paul Wachter, Julius Schöning, Jean Louis Fendji Kedieng Ebongue, Kathrin Deiglmayr:
A Smartphone App for Simple Soil Structure Analysis. IHTC 2022: 101-107 - [i2]Julius Schöning, Adrian Riechmann, Hans-Jürgen Pfisterer:
AI for Closed-Loop Control Systems - New Opportunities for Modeling, Designing, and Tuning Control Systems. CoRR abs/2201.06961 (2022) - 2021
- [c23]Julius Schöning, Mats L. Richter:
AI-Based Crop Rotation for Sustainable Agriculture Worldwide. GHTC 2021: 142-146 - [c22]Mats L. Richter, Julius Schöning, Anna Wiedenroth, Ulf Krumnack:
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training. ICMLA 2021: 964-971 - [i1]Mats L. Richter, Julius Schöning, Ulf Krumnack:
Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. CoRR abs/2106.12307 (2021) - 2020
- [c21]Julius Schöning, Shoma Berkemeyer:
Eyetracking Nutritional Behaviour and Choices. CHIRA (Revised Selected Papers) 2020: 17-31 - [c20]Shoma Berkemeyer, Julius Schöning:
Feeling Hungry: Association of Dietary Patterns with Food Choices using Scene Perception. CHIRA 2020: 188-195
2010 – 2019
- 2018
- [b1]Julius Schöning:
Interactive 3D Reconstruction (Interaktive 3D-Rekonstruktion). University of Osnabrück, Germany, 2018 - [j2]Julius Schöning, Gunther Heidemann, Ulf Krumnack:
Structure from Neuronal Networks (SfN²). J. Comput. 13(8): 988-999 (2018) - [c19]Julius Schöning, Gunther Heidemann:
Image-based 3D Reconstruction: Neural Networks vs. Multiview Geometry. IPAS 2018: 91-97 - [c18]Laura Krieger, Gunther Heidemann, Julius Schöning:
Object of Interest Segmentation in Video Sequences with Gaze Data. IPAS 2018: 104-109 - 2017
- [c17]Julius Schöning, Xianta Jiang, Carlo Menon, Gunther Heidemann:
Content-Aware 3D Reconstruction with Gaze Data. CYBCONF 2017: 1-6 - [c16]Julius Schöning, Gunther Heidemann:
Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences. ICIAP Workshops 2017: 72-83 - [c15]Julius Schöning, Thea Behrens, Patrick Faion, Peyman Kheiri, Gunther Heidemann, Ulf Krumnack:
Structure from Motion by Artificial Neural Networks. SCIA (1) 2017: 146-158 - [c14]Julius Schöning, Anna L. Gert, Alper Açik, Tim C. Kietzmann, Gunther Heidemann, Peter König:
Exploratory Multimodal Data Analysis with Standard Multimedia Player - Multimedia Containers: A Feasible Solution to Make Multimodal Research Data Accessible to the Broad Audience. VISIGRAPP (4: VISAPP) 2017: 272-279 - [c13]Julius Schöning, Patrick Faion, Gunther Heidemann, Ulf Krumnack:
Providing Video Annotations in Multimedia Containers for Visualization and Research. WACV 2017: 650-659 - 2016
- [c12]Julius Schöning, Gunther Heidemann:
Bio-Inspired Architecture for Deriving 3D Models from Video Sequences. ACCV Workshops (2) 2016: 62-76 - [c11]Julius Schöning, Patrick Faion, Gunther Heidemann:
Interactive Feature Growing for Accurate Object Detection in Megapixel Images. ECCV Workshops (1) 2016: 546-556 - [c10]Julius Schöning, Patrick Faion, Gunther Heidemann, Ulf Krumnack:
Eye tracking data in multimedia containers for instantaneous visualizations. ETVIS 2016: 74-78 - [c9]Julius Schöning, Gunther Heidemann:
Image based spare parts reconstruction for repairing vital infrastructure after disasters: Creating or ordering replica of spare parts for overhauling infrastructure. GHTC 2016: 225-232 - [c8]Julius Schöning, Patrick Faion, Gunther Heidemann:
Pixel-wise Ground Truth Annotation in Videos - An Semi-automatic Approach for Pixel-wise and Semantic Object Annotation. ICPRAM 2016: 690-697 - [c7]Julius Schöning, Gunther Heidemann:
Taxonomy of 3D Sensors - A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and their Field of Applications. VISIGRAPP (3: VISAPP) 2016: 194-199 - 2015
- [j1]Pattreeya Tanisaro, Julius Schöning, Kuno Kurzhals, Gunther Heidemann, Daniel Weiskopf:
Visual analytics for video applications. it Inf. Technol. 57(1): 30-36 (2015) - [c6]Julius Schöning, Gunther Heidemann:
Evaluation of Multi-view 3D Reconstruction Software. CAIP (2) 2015: 450-461 - [c5]Julius Schöning:
Interactive 3D Reconstruction: New Opportunities for Getting CAD-ready Models. ICCSW 2015: 54-61 - [c4]Julius Schöning, Gunther Heidemann:
Interactive 3D Modeling - A Survey-based Perspective on Interactive 3D Reconstruction. ICPRAM (2) 2015: 289-294 - [c3]Julius Schöning, Patrick Faion, Gunther Heidemann:
Semi-automatic ground truth annotation in videos: An interactive tool for polygon-based object annotation and segmentation. K-CAP 2015: 17:1-17:4 - [c2]Julius Schöning, Corinna E. Bonhage:
On the Acquisition of Human Emotions in Space and Time. UDMV 2015: 49-54 - 2014
- [c1]Julius Schöning, Christian Rusch, Christian Schindelhauer:
Real-time communication based on IEEE 802.11b/g for automation of agricultural vehicles. GHTC 2014: 152-158
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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