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Nikolaus Mayer
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2020 – today
- 2020
- [b1]Nikolaus Mayer:
Synthetic training data for deep neural networks on visual correspondence tasks. University of Freiburg, Freiburg im Breisgau, Germany, 2020 - [c5]Anton Böhm, Nikolaus Mayer
, Thomas Brox:
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. ISBI 2020: 230-234
2010 – 2019
- 2019
- [c4]Dejan Kaljaca, Nikolaus Mayer
Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision*. IROS 2019: 5542-5549 - 2018
- [j1]Nikolaus Mayer
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126(9): 942-960 (2018) - [i4]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR abs/1801.06397 (2018) - 2017
- [c3]Eddy Ilg, Nikolaus Mayer
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR 2017: 1647-1655 - [c2]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR 2017: 5622-5631 - 2016
- [c1]Nikolaus Mayer
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR 2016: 4040-4048 - [i3]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR abs/1612.01925 (2016) - [i2]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016) - 2015
- [i1]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR abs/1512.02134 (2015)
Coauthor Index
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