N. Mayer

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).

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).

Coupling ICP and Whole Image Alignment for Real-time Camera Tracking

N. Mayer, 2014 .

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.

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).

Synthetic training data for deep neural networks on visual correspondence tasks

Nikolaus Mayer, N. Mayer, 2020 .

DeMoN: Depth and Motion Network for Learning Monocular Stereo

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

Real-time SLAM using an RGB-D camera for mobile robots

N. Michael Mayer, Chung Kuo Hao, N. Mayer, 2013, 2013 CACS International Automatic Control Conference (CACS).