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
3312017
DeepTAM: Deep Tracking and Mapping
H Zhou, B Ummenhofer, T Brox
Proceedings of the European Conference on Computer Vision (ECCV), 822-838, 2018
632018
Global, Dense Multiscale Reconstruction for a Billion Points
B Ummenhofer, T Brox
International Journal of Computer Vision, 2017
542017
Global, Dense Multiscale Reconstruction for a Billion Points
B Ummenhofer, T Brox
IEEE International Conference on Computer Vision (ICCV), 2015
542015
Point-based 3d reconstruction of thin objects
B Ummenhofer, T Brox
Proceedings of the IEEE International Conference on Computer Vision, 969-976, 2013
282013
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
122019
Lagrangian fluid simulation with continuous convolutions
B Ummenhofer, L Prantl, N Thuerey, V Koltun
International Conference on Learning Representations, 2019
52019
DeepTAM: Deep tracking and mapping with convolutional neural networks
H Zhou, B Ummenhofer, T Brox
International Journal of Computer Vision 128 (3), 756-769, 2020
22020
Introduction to Dense Reconstruction from Multiple Images
B Ummenhofer
Albert-Ludwigs-Universitšt Freiburg im Breisgau, 2018
2018
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 1–12