Benjamin Ummenhofer
Benjamin Ummenhofer
Research Scientist, Intel Labs
Verified email at intel.com
Title
Cited by
Cited by
Year
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
2912017
DeepTAM: Deep Tracking and Mapping
H Zhou, B Ummenhofer, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 822-838, 2018
562018
Global, Dense Multiscale Reconstruction for a Billion Points
B Ummenhofer, T Brox
International Journal of Computer Vision, 2017
482017
Global, Dense Multiscale Reconstruction for a Billion Points
B Ummenhofer, T Brox
IEEE International Conference on Computer Vision (ICCV), 2015
482015
Point-based 3d reconstruction of thin objects
B Ummenhofer, T Brox
Proceedings of the IEEE International Conference on Computer Vision, 969-976, 2013
272013
Dense 3d reconstruction with a hand-held camera
B Ummenhofer, T Brox
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012
192012
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
JM Facil, B Ummenhofer, H Zhou, L Montesano, T Brox, J Civera
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
62019
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks
H Zhou, B Ummenhofer, T Brox
International Journal of Computer Vision, 1-14, 2019
12019
Temporally Consistent Depth Estimation in Videos with Recurrent Architectures
D Tananaev, H Zhou, B Ummenhofer, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
2018
Large displacement optical flow for volumetric image sequences
B Ummenhofer
Joint Pattern Recognition Symposium, 432-437, 2011
2011
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Articles 1–10