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Structure from Motion by Artificial Neural Networks.

J. Schöning, T. Behrens, P. Faion, P. Kheiri, G. Heidemann, and U. Krumnack. SCIA (1), volume 10269 of Lecture Notes in Computer Science, page 146-158. Springer, (2017)

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Julius Schlecht University of Stuttgart

Julius Lotz University of Stuttgart

Julius Voggesberger University of Stuttgart

Julius Schmelter University of Stuttgart

Julius Degünther University of Stuttgart

Other publications of authors with the same name

Providing Video Annotations in Multimedia Containers for Visualization and Research.J. Schöning, P. Faion, G. Heidemann, and U. Krumnack. WACV, page 650-659. IEEE Computer Society, (2017)Evaluation of Multi-view 3D Reconstruction Software.J. Schöning, and G. Heidemann. CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 450-461. Springer, (2015)Structure from Motion by Artificial Neural Networks.J. Schöning, T. Behrens, P. Faion, P. Kheiri, G. Heidemann, and U. Krumnack. SCIA (1), volume 10269 of Lecture Notes in Computer Science, page 146-158. Springer, (2017)Image based spare parts reconstruction for repairing vital infrastructure after disasters: Creating or ordering replica of spare parts for overhauling infrastructure.J. Schöning, and G. Heidemann. GHTC, page 225-232. IEEE, (2016)AI for Closed-Loop Control Systems - New Opportunities for Modeling, Designing, and Tuning Control Systems.J. Schöning, A. Riechmann, and H. Pfisterer. CoRR, (2022)Interactive 3D Modeling - A Survey-based Perspective on Interactive 3D Reconstruction.J. Schöning, and G. Heidemann. ICPRAM (2), page 289-294. SciTePress, (2015)Taxonomy of 3D Sensors - A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and their Field of Applications.J. Schöning, and G. Heidemann. VISIGRAPP (3: VISAPP), page 194-199. SciTePress, (2016)Object of Interest Segmentation in Video Sequences with Gaze Data.L. Krieger, G. Heidemann, and J. Schöning. IPAS, page 104-109. IEEE, (2018)Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences.J. Schöning, and G. Heidemann. ICIAP Workshops, volume 10590 of Lecture Notes in Computer Science, page 72-83. Springer, (2017)Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training.M. Richter, J. Schöning, A. Wiedenroth, and U. Krumnack. ICMLA, page 964-971. IEEE, (2021)