1 code implementation • ICCV 2023 • Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu
Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range.
1 code implementation • ICCV 2021 • Inigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo
In an end-to-end training, the features from both labeled and unlabeled data are optimized to be similar to same-class samples from the memory bank.
no code implementations • 22 Apr 2021 • Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner
We introduce a novel approach to unsupervised and semi-supervised domain adaptation for semantic segmentation.
no code implementations • 28 Jul 2016 • Gernot Riegler, David Ferstl, Matthias Rüther, Horst Bischof
In this paper we present a novel method to increase the spatial resolution of depth images.
no code implementations • ICCV 2015 • David Ferstl, Matthias Ruther, Horst Bischof
Both the sparse coding and the variational superresolution of the depth are solved based on a primal-dual formulation.