Nikolaus Mayer
Nikolaus Mayer
PhD student, University of Freiburg, Germany
Verified email at cs.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
12962017
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
9582016
Demon: Depth and motion network for learning monocular stereo
B Ummenhofer, H Zhou, J Uhrig, N Mayer, E Ilg, A Dosovitskiy, T Brox
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3612017
What makes good synthetic training data for learning disparity and optical flow estimation?
N Mayer, E Ilg, P Fischer, C Hazirbas, D Cremers, A Dosovitskiy, T Brox
International Journal of Computer Vision 126 (9), 942-960, 2018
842018
Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision*.
D Kaljaca, N Mayer, BA Vroegindeweij, A Mencarelli, EJ van Henten, ...
IROS, 5542-5549, 2019
12019
Coupling ICP and Whole Image Alignment for Real-time Camera Tracking
N Mayer
12014
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects
A Böhm, N Mayer, T Brox
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 230-234, 2020
2020
Synthetic Training Data for Deep Neural Networks on Visual Correspondence Tasks
N Mayer
Albert-Ludwigs-Universität Freiburg, 2020
2020
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Articles 1–8