Search Results for author: Osama Makansi

Found 7 papers, 4 papers with code

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction

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.

Trajectory Prediction

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors

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.

Future prediction Trajectory Prediction

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior

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.

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images

no code implementations20 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.

Optical Flow Estimation

Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

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.

Frame Optical Flow Estimation

End-to-End Learning of Video Super-Resolution with Motion Compensation

no code implementations3 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.

Motion Compensation Optical Flow Estimation +1

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