Michael Schelling

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Top Venues

Comput. Graph. Forum

Publications

Michael Schelling, Pedro Hermosilla, Timo Ropinski
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. WACV (2023)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) (2022)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
Weakly-Supervised Optical Flow Estimation for Time-of-Flight. CoRR (2022)
Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski
Learning Human Viewpoint Preferences from Sparsely Annotated Models. Comput. Graph. Forum 41 (6) (2022)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CVPR (2022)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. Comput. Graph. Forum 40 (2) (2021)
Michael Schelling, Pedro Hermosilla, Timo Ropinski
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. CoRR (2021)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. CoRR (2021)
Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski
Enabling Viewpoint Learning through Dynamic Label Generation. CoRR (2020)
Michael Schelling, Martin Bossert
Code Constructions based on Reed-Solomon Codes. CoRR (2017)