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Mayer's with Publications

Author(last name): Title: Year:

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8 publications
 
2022
Journal
Evaluation of a boxwood topiary trimming robot   doi>
B. van Marrewijk, B. Vroegindeweij, J. Gené-Mola, A. Mencarelli, J. Hemming, Nikolaus Mayer, M. Wenger, G. Kootstra
Biosystems Engineering, 214: 11--27, Feb 2022
 
2020

Conference
DiskMask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects   Paperpaper-ISBI20_DiskMask_finalSubmission_IEEE_CR.pdf doi>
Anton Böhm, Nikolaus Mayer, Thomas Brox
IEEE International Symposium on Biomedical Imaging (ISBI), 2020

Others
Synthetic Training Data for Deep Neural Networks on Visual Correspondence Tasks   PaperDissertation-Nikolaus-Mayer.pdf doi>
Nikolaus Mayer
PhD thesis from Albert-Ludwigs-Universität Freiburg, 2020
 
2019

Conference
Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision   Paperpaper-MB19.pdf doi>
D. Kaljaca, Nikolaus Mayer, B. Vroegindeweij, A. Mencarelli, E. van Henten, Thomas Brox
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE: 5542--5549, Nov 2019
 
2018
Journal
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?   Paperpaper-1801.06397.pdf doi> Project
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, C. Hazirbas, D. Cremers, Alexey Dosovitskiy, Thomas Brox
International Journal of Computer Vision, 126(9): 942-960, 2018
 
2017

Conference
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks   Paperpaper-FlowNet_2_0__CVPR_old_version.pdf doi>
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo   doi> Project
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
 
2016

Conference
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation   Paperpaper-MIFDB16.pdf doi> Code/data Project
Nikolaus Mayer, Eddy Ilg, P. Häusser, Philipp Fischer, D. Cremers, Alexey Dosovitskiy, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

8 publications