End-to-End Learning of Video Super-Resolution with Motion Compensation. - Osama Makansi; Eddy Ilg; Thomas Brox (GCPR, 2017)

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (ECCV (7), 2018)

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks. - Eddy Ilg; Özgün Çiçek; Silvio Galesso; Aaron Klein; Osama Makansi; Frank Hutter; Thomas Brox (CoRR, 2018)

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images. - Osama Makansi; Eddy Ilg; Thomas Brox (CoRR, 2018)

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. - Osama Makansi; Eddy Ilg; Özgün Çiçek; Thomas Brox (CVPR, 2019)

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. - Osama Makansi; Özgün Çiçek; Kevin Buchicchio; Thomas Brox (CVPR, 2020)

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. - Osama Makansi; Özgün Çiçek; Yassine Marrakchi; Thomas Brox (ICCV, 2021)

Fighting Class Imbalance with Contrastive Learning. - Yassine Marrakchi; Osama Makansi; Thomas Brox (MICCAI (3), 2021)

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. - Osama Makansi; Julius von Kügelgen; Francesco Locatello; Peter Vincent Gehler; Dominik Janzing; Thomas Brox; Bernhard Schölkopf (ICLR, 2022)

Future prediction with deep learning. - Osama Makansi (2022)

A data augmentation perspective on diffusion models and retrieval. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (CoRR, 2023)

Image retrieval outperforms diffusion models on data augmentation. - Max F. Burg; Florian Wenzel; Dominik Zietlow; Max Horn; Osama Makansi; Francesco Locatello; Chris Russell 001 (Trans. Mach. Learn. Res., 2023)