14 code implementations • 2 Jul 2019 • René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun
In particular, we propose a robust training objective that is invariant to changes in depth range and scale, advocate the use of principled multi-objective learning to combine data from different sources, and highlight the importance of pretraining encoders on auxiliary tasks.
Ranked #2 on Depth Estimation on eBDtheque
1 code implementation • 9 Apr 2018 • Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
We show, for the first time, how to jointly reconstruct both the individual tracer particles and a dense 3D fluid motion field from the image data, using an integrated energy minimization.
no code implementations • 9 Apr 2018 • Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler
We propose a new method for iterative particle reconstruction (IPR), in which the locations and intensities of all particles are inferred in one joint energy minimization.
no code implementations • ICCV 2017 • Katrin Lasinger, Christoph Vogel, Konrad Schindler
Here, we propose a variational method for 3D fluid flow estimation from multi-view data.
1 code implementation • ICCV 2015 • Silvano Galliani, Katrin Lasinger, Konrad Schindler
We present a new, massively parallel method for high-quality multiview matching.
Ranked #22 on 3D Reconstruction on DTU