Martin Wicke

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 13

Top Topics

Geometric Constraints

Adjacent Frames

Machine Learning

Top Venues

ACM Trans. Graph.

Publications

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)
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 (2021)
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)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. CVPR (2018)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints. CoRR (2018)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Geometry-based next frame prediction from monocular video. Intelligent Vehicles Symposium (2017)
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 (2017)
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)
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)
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 (2016)
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)
Reza Mahjourian, Martin Wicke, Anelia Angelova
Geometry-Based Next Frame Prediction from Monocular Video. CoRR (2016)
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 (2016)
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) (2015)
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) (2013)
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) (2013)
Eunjoon Cho, Kevin Wong, Omprakash Gnawali, Martin Wicke, Leonidas J. Guibas
Inferring mobile trajectories using a network of binary proximity sensors. SECON (2011)
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)
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) (2010)
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) (2010)
Qi-Xing Huang, Martin Wicke, Bart Adams, Leonidas J. Guibas
Shape Decomposition using Modal Analysis. Comput. Graph. Forum 28 (2) (2009)
Bart Adams, Martin Wicke
Meshless Approximation Methods and Applications in Physics Based Modeling and Animation. Eurographics (Tutorials) (2009)
Eunjoon Cho, Ian Downes, Martin Wicke, Branislav Kusy, Leonidas J. Guibas
Recovering network topology with binary sensors. SenSys (2009)
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikola Milosavljevic, Leonidas J. Guibas
Predictive QoS routing to mobile sinks in wireless sensor networks. IPSN (2009)
Martin Wicke, Matt Stanton, Adrien Treuille
Modular bases for fluid dynamics. ACM Trans. Graph. 28 (3) (2009)
HyungJune Lee, Martin Wicke, Branislav Kusy, Leonidas J. Guibas
Localization of mobile users using trajectory matching. MELT (2008)
Sebastian Martin, Peter Kaufmann, Mario Botsch, Martin Wicke, Markus H. Gross
Polyhedral Finite Elements Using Harmonic Basis Functions. Comput. Graph. Forum 27 (5) (2008)
Qi-Xing Huang, Bart Adams, Martin Wicke, Leonidas J. Guibas
Non-Rigid Registration Under Isometric Deformations. Comput. Graph. Forum 27 (5) (2008)
Mario Botsch, Mark Pauly, Martin Wicke, Markus H. Gross
Adaptive Space Deformations Based on Rigid Cells. Comput. Graph. Forum 26 (3) (2007)
Martin Wicke, Mario Botsch, Markus H. Gross
A Finite Element Method on Convex Polyhedra. Comput. Graph. Forum 26 (3) (2007)
Martin Wicke, Philipp Hatt, Mark Pauly, Matthias Müller, Markus H. Gross
Versatile Virtual Materials Using Implicit Connectivity. PBG@SIGGRAPH (2006)
Martin Wicke, Sandro Olibet, Markus H. Gross
Conversion of Point-Sampled Models to Textured Meshes. PBG (2005)
Martin Wicke, Denis Steinemann, Markus H. Gross
Efficient Animation of Point-Sampled Thin Shells. Comput. Graph. Forum 24 (3) (2005)
Martin Wicke, Matthias Teschner, Markus H. Gross
CSG Tree Rendering for Point-Sampled Objects. PG (2004)
Bart Adams, Martin Wicke, Philip Dutré, Markus H. Gross, Mark Pauly, Matthias Teschner
Interactive 3D Painting on Point-Sampled Objects. PBG (2004)