2 citations · 2 across the 1 of their papers we have counts for
3 papers
Improving Optical Flow on a Pyramid Level
Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi +3
In this work we review the coarse-to-fine spatial feature pyramid concept, which is used in state-of-the-art optical flow estimation networks to make exploration of the pixel flow…
Learning Multi-Object Tracking and Segmentation from Automatic Annotations
Lorenzo Porzi, Markus Hofinger, Idoia Ruiz +3
In this work we contribute a novel pipeline to automatically generate training data, and to improve over state-of-the-art multi-object tracking and segmentation (MOTS) methods. Our…
Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow
Markus Hofinger, Thomas Pock, Thomas Moosbrugger
Wood-composite materials are widely used today as they homogenize humidity related directional deformations. Quantification of these deformations as coefficients is important for c…