Nikolaus Mayer

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Thomas Brox, Margret Keuper, Eddy Ilg, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

DeMoN: Depth and Motion Network for Learning Monocular Stereo

Thomas Brox, Eddy Ilg, Alexey Dosovitskiy, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Thomas Brox, Nikolaus Mayer, Bastiaan A. Vroegindeweij, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Thomas Brox, Eddy Ilg, Alexey Dosovitskiy, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Thomas Brox, Anton Böhm, Nikolaus Mayer, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

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

Daniel Cremers, Thomas Brox, Eddy Ilg, 2018, International Journal of Computer Vision.

Synthetic training data for deep neural networks on visual correspondence tasks

Nikolaus Mayer, N. Mayer, 2020 .