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 (CVPR, 2016)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. - Eddy Ilg; Nikolaus Mayer; Tonmoy Saikia; Margret Keuper; Alexey Dosovitskiy; Thomas Brox (CVPR, 2017)

DeMoN: Depth and Motion Network for Learning Monocular Stereo. - Benjamin Ummenhofer; Huizhong Zhou; Jonas Uhrig; Nikolaus Mayer; Eddy Ilg; Alexey Dosovitskiy; Thomas Brox (CVPR, 2017)

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)

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 (IROS, 2019)

Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. - Anton Böhm; Nikolaus Mayer; Thomas Brox (ISBI, 2020)

Synthetic training data for deep neural networks on visual correspondence tasks. - Nikolaus Mayer (2020)