Michael Hornacek
Michael Hornacek
Mantle Labs
Verified email at mantle-labs.com
Title
Cited by
Cited by
Year
Potential for high resolution systematic global surface soil moisture retrieval via change detection using Sentinel-1
M Hornáček, W Wagner, D Sabel, HL Truong, P Snoeij, T Hahmann, ...
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE …, 2012
1002012
Depth Super Resolution by Rigid Body Self-Similarity in 3D
M Hornáček, C Rhemann, M Gelautz, C Rother
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
932013
SphereFlow: 6 DoF scene flow from RGB-D pairs
M Hornáček, A Fitzgibbon, C Rother
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on …, 2014
762014
Highly Overparameterized Optical Flow Using PatchMatch Belief Propagation
M Hornáček, F Besse, J Kautz, A Fitzgibbon, C Rother
European Conference on Computer Vision (ECCV), 2014, 220-234, 2014
372014
Prospects of Sentinel-1 for land applications
W Wagner, D Sabel, M Doubkova, M Hornáček, S Schlaffer, A Bartsch
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International …, 2012
122012
Extracting vanishing points across multiple views
M Hornáček, S Maierhofer
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, 953-960, 2011
102011
Geospatial analytics in the large for monitoring depth of cover for buried pipeline infrastructure
M Hornacek, D Schall, P Glira, S Geiger, A Egger, A Filip, C Windisch, ...
2018 IEEE International Conference on Cloud Engineering (IC2E), 233-240, 2018
22018
System and Method for Visualizing and Validating Process Events
JA Birchbauer, M Hornacek, D Schall, D Schmidt, P Schneeweiss
US Patent App. 16/301,941, 2019
12019
Layer Thickness Measurement of Soil Covering
JA Birchbauer, J Hatzl, M Hoedlmoser, S Wakolbinger, C Windisch, ...
US Patent App. 16/091,380, 2019
12019
Global Land Surface Hydrology Monitoring using Sentinel-1: Opportunities and Challenges
W Wagner, M Doubkova, D Sabel, A Bartsch, M Hornáček, JP Klein, ...
12011
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery
S Bachhofner, AM Loghin, J Otepka, N Pfeifer, M Hornacek, A Siposova, ...
Remote Sensing 12 (8), 1289, 2020
2020
Taking-off with UAVs: Just hype or a future key technology in pipeline integrity management
JA Birchbauer, S Wakolbinger, M Hornáček, C Windisch, M Liepe
11th Pipeline Technology Conference 2016, 2016
2016
Geometrically Motivated Dense Large Displacement Matching in Continuous Label Spaces (Dissertation)
M Hornáček
GNSS Positioning in Support of Surface Soil Moisture Retrieval and Flood Delineation in Near Real Time
M Hornáček, W Wagner, D Sabel
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Articles 1–14