Suchergebnisse
Graph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation
Rodner, Erik: Graph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), S. 1-8, Springer, Tel Aviv, 2022, ISBN 978-3-031-19803-8
Extension of Colortransferlab - A Software Test bed for Sharing and Evaluating Color Transfer Algorythms
Potechius, Herbert; Sikora, Thomas; Knorr, Sebastian: Extension of Colortransferlab - A Software Test bed for Sharing and Evaluating Color Transfer Algorythms. In: European Light Field Imaging Workshop (ELFI), S. 1-2, Sozopol, Bulgaria, 2024
Segmentation-Based Initialization for 3D Point Clouds Compression
Li, Yi-Hsin; Knorr, Sebastian; Sjöström, Mårten; Sikora, Thomas: Segmentation-Based Initialization for 3D Point Clouds Compression. In: European Light Field Imaging Workshop (ELFI), S. 1-2, Sozopol, Bulgaria, 2024
LFSphereNet: Real Time Spherical Light Field Reconstruction from a Single Omnidirectional Image
Gond, Manu; Zerman, Emin; Knorr, Sebastian; Sjöström, Maarten: LFSphereNet: Real Time Spherical Light Field Reconstruction from a Single Omnidirectional Image. In: ACM SIGGRAPH European Conference on Visual Media Production, S. 1--10, London, UK, 2023
Managing International Projects
Fair Voronoi Split-Screen for N-Player Games
Lenz, Tobias : Fair Voronoi Split-Screen for N-Player Games. In: Proceedings of 34th European Workshop on Computational Geometry, S. 217-222, Berlin, 2018
Beyond Bar Charts: A Comparative Analysis of Linear Mixed-Effect Models and ANOVA for Evaluation Exoskeleton Performance
Hahnemann, Yannis; Bernek, Adolf-Markus; Weiß, Manuel; Götz, Sebastian: Beyond Bar Charts: A Comparative Analysis of Linear Mixed-Effect Models and ANOVA for Evaluation Exoskeleton Performance. In: Wearacon Europe, S. 1-2, Düsseldorf, 2023
Courses
A Versatile Learning Method for PACs - Intelligence through evolutionary RL learning
Siebel, Nils : A Versatile Learning Method for PACs - Intelligence through evolutionary RL learning. In: Proceedings of the 11. European Workshop on Reinforcement Learning (EWRL 2013), S. 27-34, Dagstuhl, 2013