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ORCIDMartin Wicke
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2020 – today
- 2023
[c17]Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni
, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi:
Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) 2023: 343-358- 2021
- [i6]Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Nic Heaney, Karl von Richter, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Mohammad Ali Armin, Geoffrey Carlin, Russ Babcock, Peyman Moghadam, Daniel Smith, Tim Davis, Kemal El Moujahid, Martin Wicke, Megha Malpani:
The CSIRO Crown-of-Thorn Starfish Detection Dataset. CoRR abs/2111.14311 (2021)
2010 – 2019
- 2019
- [c16]Paige Bailey, Sofien Bouaziz, Shan Carter, Josh Gordon, Christian Häne, Alexander Mordvintsev, Julien Valentin, Martin Wicke:
Differentiable graphics with TensorFlow 2.0. SIGGRAPH Courses 2019: 10:1-10:211 - 2018
- [c15]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. CVPR 2018: 5667-5675 - [i5]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. CoRR abs/1802.05522 (2018) - 2017
- [c14]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Geometry-based next frame prediction from monocular video. Intelligent Vehicles Symposium 2017: 1700-1707 - [c13]Denis Baylor, Eric Breck, Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir, Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew, Clemens Mewald, Akshay Naresh Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Euijong Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin Zinkevich:
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. KDD 2017: 1387-1395 - [c12]Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie:
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD 2017: 1763-1771 - [i4]Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie:
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. CoRR abs/1708.02637 (2017) - 2016
- [c11]Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: A System for Large-Scale Machine Learning. OSDI 2016: 265-283 - [i3]Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - [i2]Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang:
TensorFlow: A system for large-scale machine learning. CoRR abs/1605.08695 (2016) - [i1]Reza Mahjourian, Martin Wicke, Anelia Angelova:
Geometry-Based Next Frame Prediction from Monocular Video. CoRR abs/1609.06377 (2016) - 2015
- [j12]HyungJune Lee, Martin Wicke, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas:
Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 64(12): 5831-5849 (2015) - 2013
- [j11]Pascal Clausen, Martin Wicke, Jonathan Richard Shewchuk, James F. O'Brien:
Simulating liquids and solid-liquid interactions with lagrangian meshes. ACM Trans. Graph. 32(2): 17:1-17:15 (2013) - [j10]Matt Stanton, Yu Sheng, Martin Wicke, Federico Perazzi, Amos Yuen, Srinivasa G. Narasimhan, Adrien Treuille:
Non-polynomial Galerkin projection on deforming meshes. ACM Trans. Graph. 32(4): 86:1-86:14 (2013) - 2011
- [c10]Eunjoon Cho, Kevin Wong, Omprakash Gnawali, Martin Wicke, Leonidas J. Guibas:
Inferring mobile trajectories using a network of binary proximity sensors. SECON 2011: 188-196 - 2010
- [j9]Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas:
Meshless Shape and Motion Design for Multiple Deformable Objects. Comput. Graph. Forum 29(1): 43-59 (2010) - [j8]Martin Wicke, Daniel Ritchie, Bryan Matthew Klingner, Sebastian Burke, Jonathan Richard Shewchuk, James F. O'Brien:
Dynamic local remeshing for elastoplastic simulation. ACM Trans. Graph. 29(4): 49:1-49:11 (2010) - [c9]HyungJune Lee, Martin Wicke, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas:
Data stashing: energy-efficient information delivery to mobile sinks through trajectory prediction. IPSN 2010: 291-302
2000 – 2009
- 2009
- [j7]Qi-Xing Huang, Martin Wicke, Bart Adams, Leonidas J. Guibas:
Shape Decomposition using Modal Analysis. Comput. Graph. Forum 28(2): 407-416 (2009) - [j6]Martin Wicke, Matt Stanton, Adrien Treuille:
Modular bases for fluid dynamics. ACM Trans. Graph. 28(3): 39 (2009) - [c8]Bart Adams, Martin Wicke:
Meshless Approximation Methods and Applications in Physics Based Modeling and Animation. Eurographics (Tutorials) 2009: 213-239 - [c7]Branislav Kusy, HyungJune Lee, Martin Wicke, Nikola Milosavljevic, Leonidas J. Guibas:
Predictive QoS routing to mobile sinks in wireless sensor networks. IPSN 2009: 109-120 - [c6]Eunjoon Cho, Ian Downes, Martin Wicke, Branislav Kusy, Leonidas J. Guibas:
Recovering network topology with binary sensors. SenSys 2009: 387-388 - 2008
- [j5]Qi-Xing Huang, Bart Adams, Martin Wicke, Leonidas J. Guibas:
Non-Rigid Registration Under Isometric Deformations. Comput. Graph. Forum 27(5): 1449-1457 (2008) - [j4]Sebastian Martin, Peter Kaufmann, Mario Botsch, Martin Wicke, Markus H. Gross:
Polyhedral Finite Elements Using Harmonic Basis Functions. Comput. Graph. Forum 27(5): 1521-1529 (2008) - [c5]HyungJune Lee, Martin Wicke, Branislav Kusy, Leonidas J. Guibas:
Localization of mobile users using trajectory matching. MELT 2008: 123-128 - 2007
- [b1]Martin Wicke:
Modeling and animation with relaxed connectivity requirements. ETH Zurich, Zürich, Switzerland, 2007 - [j3]Mario Botsch, Mark Pauly, Martin Wicke, Markus H. Gross:
Adaptive Space Deformations Based on Rigid Cells. Comput. Graph. Forum 26(3): 339-347 (2007) - [j2]Martin Wicke, Mario Botsch, Markus H. Gross:
A Finite Element Method on Convex Polyhedra. Comput. Graph. Forum 26(3): 355-364 (2007) - 2006
- [c4]Martin Wicke, Philipp Hatt, Mark Pauly, Matthias Müller, Markus H. Gross:
Versatile Virtual Materials Using Implicit Connectivity. PBG@SIGGRAPH 2006: 137-144 - 2005
- [j1]Martin Wicke, Denis Steinemann, Markus H. Gross:
Efficient Animation of Point-Sampled Thin Shells. Comput. Graph. Forum 24(3): 667-676 (2005) - [c3]Martin Wicke, Sandro Olibet, Markus H. Gross:
Conversion of Point-Sampled Models to Textured Meshes. PBG 2005: 119-124 - 2004
- [c2]Martin Wicke, Matthias Teschner, Markus H. Gross:
CSG Tree Rendering for Point-Sampled Objects. PG 2004: 160-168 - [c1]Bart Adams, Martin Wicke, Philip Dutré, Markus H. Gross, Mark Pauly, Matthias Teschner:
Interactive 3D Painting on Point-Sampled Objects. PBG 2004: 57-66
Coauthor Index
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