Code Constructions based on Reed-Solomon Codes. - Michael Schelling; Martin Bossert (CoRR, 2017)

Enabling Viewpoint Learning through Dynamic Label Generation. - Michael Schelling; Pedro Hermosilla; Pere-Pau Vázquez; Timo Ropinski (Comput. Graph. Forum, 2021)

RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. - Michael Schelling; Pedro Hermosilla; Timo Ropinski (CVPR, 2022)

Variance-Aware Weight Initialization for Point Convolutional Neural Networks. - Pedro Hermosilla; Michael Schelling; Tobias Ritschel 001; Timo Ropinski (ECCV (28), 2022)

Learning Human Viewpoint Preferences from Sparsely Annotated Models. - Sebastian Hartwig; Michael Schelling; Christian van Onzenoodt; Pere-Pau Vázquez; Pedro Hermosilla; Timo Ropinski (Comput. Graph. Forum, 2022)

Weakly-Supervised Optical Flow Estimation for Time-of-Flight. - Michael Schelling; Pedro Hermosilla; Timo Ropinski (WACV, 2023)

Viewpoint guided learning for 3D scene understanding and representations. - Michael Schelling (2023)