Eddy Ilg

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Papers (10)

1. FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images cs.CV · 2018 · author #2
2. Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation cs.CV · 2018 · author #1
3. Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow cs.CV · 2018 · author #1
4. What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? cs.CV · 2018 · author #2
5. End-to-End Learning of Video Super-Resolution with Motion Compensation cs.CV · 2017 · author #2
6. Lucid Data Dreaming for Video Object Segmentation cs.CV · 2017 · author #3
7. DeMoN: Depth and Motion Network for Learning Monocular Stereo cs.CV · 2016 · author #5
8. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks cs.CV · 2016 · author #1
9. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation cs.CV · 2015 · author #2
10. FlowNet: Learning Optical Flow with Convolutional Networks cs.CV · 2015 · author #3

Mentions

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Frequent Coauthors

• Thomas Brox 10 shared papers
• Alexey Dosovitskiy 5 shared papers
• Nikolaus Mayer 4 shared papers
• Daniel Cremers 3 shared papers
• Osama Makansi 3 shared papers
• Philipp Fischer 3 shared papers
• Margret Keuper 2 shared papers
• Philip H\"ausser 2 shared papers
• Tonmoy Saikia 2 shared papers
• Aaron Klein 1 shared papers
• Anna Khoreva 1 shared papers
• Benjamin Ummenhofer 1 shared papers
• Bernt Schiele 1 shared papers
• Caner Haz{\i}rba\c{s} 1 shared papers
• Caner Hazirbas 1 shared papers
• Frank Hutter 1 shared papers
• Huizhong Zhou 1 shared papers
• Jonas Uhrig 1 shared papers
• \"Ozg\"un \c{C}i\c{c}ek 1 shared papers
• Patrick van der Smagt 1 shared papers