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

Michael Schelling, Pedro Hermosilla, Timo Ropinski

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

picture_as_pdf format_quote code

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

Michael Schelling, Pedro Hermosilla, Timo Ropinski

IEEE Conference on Computer Vision and Pattern Recognition, 2022

picture_as_pdf format_quote code play_circle_filled

Learning Human Viewpoint Preferences from Sparsely Annotated Models

Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski

Computer Graphics Forum, 2022

picture_as_pdf format_quote code play_circle_filled

Variance-Aware Weight Initialization for Point Convolutional Neural Networks

Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski

European Conference on Computer Vision, 2022

picture_as_pdf format_quote code

Enabling Viewpoint Learning through Dynamic Label Generation

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

Computer Graphics Forum (Proc. of Annual Conference of the European Association for Computer Graphics 2021), 2021

picture_as_pdf format_quote code

Code Constructions Based on Reed-Solomon Codes

Michael Schelling, Martin Bossert

International Workshop on Optimal Codes and Related Topics, 2017

format_quote

A New Gershgorin-type Result for the Localisation of the Spectrum of Matrices

Anna Dall'Acqua, Delio Mugnolo, Michael Schelling

Mathematische Nachrichten, 2015

format_quote