Nikolaus Mayer

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Papers (4)

1. What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? cs.CV · 2018 · author #1
2. DeMoN: Depth and Motion Network for Learning Monocular Stereo cs.CV · 2016 · author #4
3. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks cs.CV · 2016 · author #2
4. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation cs.CV · 2015 · author #1

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Frequent Coauthors

• Alexey Dosovitskiy 4 shared papers
• Eddy Ilg 4 shared papers
• Thomas Brox 4 shared papers
• Daniel Cremers 2 shared papers
• Philipp Fischer 2 shared papers
• Benjamin Ummenhofer 1 shared papers
• Caner Hazirbas 1 shared papers
• Huizhong Zhou 1 shared papers
• Jonas Uhrig 1 shared papers
• Margret Keuper 1 shared papers
• Philip H\"ausser 1 shared papers
• Tonmoy Saikia 1 shared papers