Nikolaus Mayer

According to our database, Nikolaus Mayer authored at least 7 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Synthetic training data for deep neural networks on visual correspondence tasks.

Nikolaus Mayer

PhD thesis, 2020

Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects.

Anton Böhm, Nikolaus Mayer, Thomas Brox

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision^*.

Dejan Kaljaca, Nikolaus Mayer, Bastiaan A. Vroegindeweij, Angelo Mencarelli, Eldert J. van Henten, Thomas Brox

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox

Int. J. Comput. Vis., 2018

2017

DeMoN: Depth and Motion Network for Learning Monocular Stereo.

Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.

Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016