Michael Schelling

According to our database, Michael Schelling authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Viewpoint guided learning for 3D scene understanding and representations.

Michael Schelling

PhD thesis, 2023

Weakly-Supervised Optical Flow Estimation for Time-of-Flight.

Michael Schelling, Pedro Hermosilla, Timo Ropinski

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Variance-Aware Weight Initialization for Point Convolutional Neural Networks.

Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski

Proceedings of the Computer Vision - ECCV 2022, 2022

RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising.

Michael Schelling, Pedro Hermosilla, Timo Ropinski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Enabling Viewpoint Learning through Dynamic Label Generation.

Michael Schelling, Pedro Hermosilla, Pere-Pau Vázquez, Timo Ropinski

Comput. Graph. Forum, 2021

2017

Code Constructions based on Reed-Solomon Codes.

Michael Schelling, Martin Bossert

CoRR, 2017