no code implementations • 20 Apr 2023 • Max F. Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell
Many approaches have been proposed to use diffusion models to augment training datasets for downstream tasks, such as classification.
no code implementations • ICLR 2022 • Osama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf
Applying this procedure to state-of-the-art trajectory prediction methods on standard benchmark datasets shows that they are, in fact, unable to reason about interactions.
1 code implementation • ICCV 2021 • Osama Makansi, Özgün Cicek, Yassine Marrakchi, Thomas Brox
Predicting the states of dynamic traffic actors into the future is important for autonomous systems to operate safelyand efficiently.
1 code implementation • CVPR 2020 • Osama Makansi, Özgün Cicek, Kevin Buchicchio, Thomas Brox
In this paper, we investigate the problem of anticipating future dynamics, particularly the future location of other vehicles and pedestrians, in the view of a moving vehicle.
1 code implementation • CVPR 2019 • Osama Makansi, Eddy Ilg, Özgün Cicek, Thomas Brox
Future prediction is a fundamental principle of intelligence that helps plan actions and avoid possible dangers.
no code implementations • 20 Aug 2018 • Osama Makansi, Eddy Ilg, Thomas Brox
The latter can be used as proxy-ground-truth to train a network on real-world data and to adapt it to specific domains of interest.
1 code implementation • ECCV 2018 • Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox
Optical flow estimation can be formulated as an end-to-end supervised learning problem, which yields estimates with a superior accuracy-runtime tradeoff compared to alternative methodology.
no code implementations • 3 Jul 2017 • Osama Makansi, Eddy Ilg, Thomas Brox
We analyze the usage of optical flow for video super-resolution and find that common off-the-shelf image warping does not allow video super-resolution to benefit much from optical flow.