Michael Goesele — accepted AI-conference papers

2022

Neural 3D Video Synthesis From Multi-View Video

Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim +5

CVPR 2022oral

We propose a novel approach for 3D video synthesis that is able to represent multi-view video recordings of a dynamic real-world scene in a compact, yet expressive representation that enables high-quality view synthesis and motion interpolation. Our approach takes the high quality and compactness of…

Cited by 486 PDF ↗code ↗Scholar ↗

2018

Detail-Preserving Pooling in Deep Networks

Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth

CVPR 2018poster

Most convolutional neural networks use some method for gradually downscaling the size of the hidden layers. This is commonly referred to as pooling, and is applied to reduce the number of parameters, improve invariance to certain distortions, and increase the receptive field size. Since pooling by n…

Cited by 169 Source ↗PDF ↗code ↗Scholar ↗