Martin Wicke
Martin Wicke
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Cited by
Cited by
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org, 0
Radio link quality estimation in wireless sensor networks: A survey
N Baccour, A Koubâa, L Mottola, MA Zúñiga, H Youssef, CA Boano, ...
ACM Transactions on Sensor Networks (TOSN) 8 (4), 1-33, 2012
Non‐Rigid Registration Under Isometric Deformations
QX Huang, B Adams, M Wicke, LJ Guibas
Computer Graphics Forum 27 (5), 1449-1457, 2008
Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints
R Mahjourian, M Wicke, A Angelova
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Adaptive space deformations based on rigid cells
M Botsch, M Pauly, M Wicke, M Gross
Computer Graphics Forum 26 (3), 339-347, 2007
Dynamic local remeshing for elastoplastic simulation
M Wicke, D Ritchie, BM Klingner, S Burke, JR Shewchuk, JF O'Brien
ACM Transactions on graphics (TOG) 29 (4), 1-11, 2010
Tfx: A tensorflow-based production-scale machine learning platform
D Baylor, E Breck, HT Cheng, N Fiedel, CY Foo, Z Haque, S Haykal, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
A finite element method on convex polyhedra
M Wicke, M Botsch, M Gross
Computer Graphics Forum 26 (3), 355-364, 2007
Polyhedral finite elements using harmonic basis functions
S Martin, P Kaufmann, M Botsch, M Wicke, M Gross
Computer Graphics Forum 27 (5), 1521-1529, 2008
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. 2016
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467 3, 2016
Modular bases for fluid dynamics
M Wicke, M Stanton, A Treuille
ACM Transactions on Graphics (TOG) 28 (3), 1-8, 2009
Simulating liquids and solid-liquid interactions with lagrangian meshes
P Clausen, M Wicke, JR Shewchuk, JF O'brien
ACM Transactions on Graphics (TOG) 32 (2), 1-15, 2013
Predictive QoS routing to mobile sinks in wireless sensor networks
B Kusy, HJ Lee, M Wicke, N Milosavljevic, L Guibas
2009 International Conference on Information Processing in Sensor Networks …, 2009
Shape decomposition using modal analysis
QX Huang, M Wicke, B Adams, L Guibas
Computer Graphics Forum 28 (2), 407-416, 2009
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. 2015. Software available from tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2019
Data stashing: energy-efficient information delivery to mobile sinks through trajectory prediction
HJ Lee, M Wicke, B Kusy, O Gnawali, L Guibas
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
Interactive 3D Painting on Point-Sampled Objects.
B Adams, M Wicke, P Dutré, MH Gross, M Pauly, M Teschner
SPBG, 57-66, 2004
Efficient animation of point-sampled thin shells
M Wicke, D Steinemann, M Gross
Computer Graphics Forum 24 (3), 667-676, 2005
Localization of mobile users using trajectory matching
HJ Lee, M Wicke, B Kusy, L Guibas
Proceedings of the first ACM international workshop on Mobile entity …, 2008
Computer animation complete: all-in-one: learn motion capture, characteristic, point-based, and Maya winning techniques
R Parent, DS Ebert, D Gould, M Gross, C Kazmier, CJ Lumsden, R Keiser, ...
Morgan Kaufmann, 2009
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