Martin Wicke

37 papers A* 4B 2Misc 2Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Automating ML Model Development at Scale.
SEIP@ICSE
Kaiyuan Wang, Yang Li, Junyang Shen, Kaikai Sheng, Yiwei You, Jiaqi Zhang, Srikar Ayyalasomayajula, Julian Grady, Martin Wicke
2023 — conf
Hyperscale Hardware Optimized Neural Architecture Search.
ASPLOS (3)
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
2021 J jnl
The CSIRO Crown-of-Thorn Starfish Detection Dataset.
CoRR
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
2019 — conf
Differentiable graphics with TensorFlow 2.0.
SIGGRAPH Courses
Paige Bailey, Sofien Bouaziz, Shan Carter, Josh Gordon, Christian Häne, Alexander Mordvintsev, Julien Valentin, Martin Wicke
2018 A* conf
Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints.
CVPR
Reza Mahjourian, Martin Wicke, Anelia Angelova
2018 J jnl
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints.
CoRR
Reza Mahjourian, Martin Wicke, Anelia Angelova
2017 B conf
Geometry-based next frame prediction from monocular video.
Intelligent Vehicles Symposium
Reza Mahjourian, Martin Wicke, Anelia Angelova
2017 A* conf
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform.
KDD
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
2017 A* conf
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.
KDD
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
2017 J jnl
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.
CoRR
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
2016 J jnl
Geometry-Based Next Frame Prediction from Monocular Video.
CoRR
Reza Mahjourian, Martin Wicke, Anelia Angelova
2016 A* conf
TensorFlow: A System for Large-Scale Machine Learning.
OSDI
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
2016 J jnl
TensorFlow: A system for large-scale machine learning.
CoRR
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
2016 J jnl
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR
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
2015 J jnl
Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks.
IEEE Trans. Veh. Technol.
HyungJune Lee, Martin Wicke, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas
2013 J jnl
Non-polynomial Galerkin projection on deforming meshes.
ACM Trans. Graph.
Matt Stanton, Yu Sheng, Martin Wicke, Federico Perazzi, Amos Yuen, Srinivasa G. Narasimhan, Adrien Treuille
2013 J jnl
Simulating liquids and solid-liquid interactions with lagrangian meshes.
ACM Trans. Graph.
Pascal Clausen, Martin Wicke, Jonathan Richard Shewchuk, James F. O'Brien
2011 B conf
Inferring mobile trajectories using a network of binary proximity sensors.
SECON
Eunjoon Cho, Kevin Wong, Omprakash Gnawali, Martin Wicke, Leonidas J. Guibas
2010 — conf
Data stashing: energy-efficient information delivery to mobile sinks through trajectory prediction.
IPSN
HyungJune Lee, Martin Wicke, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas
2010 J jnl
Dynamic local remeshing for elastoplastic simulation.
ACM Trans. Graph.
Martin Wicke, Daniel Ritchie, Bryan Matthew Klingner, Sebastian Burke, Jonathan Richard Shewchuk, James F. O'Brien
2010 J jnl
Meshless Shape and Motion Design for Multiple Deformable Objects.
Comput. Graph. Forum
Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas
2009 — conf
Meshless Approximation Methods and Applications in Physics Based Modeling and Animation.
Eurographics (Tutorials)
Bart Adams, Martin Wicke
2009 J jnl
Modular bases for fluid dynamics.
ACM Trans. Graph.
Martin Wicke, Matt Stanton, Adrien Treuille
2009 — conf
Predictive QoS routing to mobile sinks in wireless sensor networks.
IPSN
Branislav Kusy, HyungJune Lee, Martin Wicke, Nikola Milosavljevic, Leonidas J. Guibas
2009 Misc conf
Recovering network topology with binary sensors.
SenSys
Eunjoon Cho, Ian Downes, Martin Wicke, Branislav Kusy, Leonidas J. Guibas
2009 J jnl
Shape Decomposition using Modal Analysis.
Comput. Graph. Forum
Qi-Xing Huang, Martin Wicke, Bart Adams, Leonidas J. Guibas
2008 — conf
Localization of mobile users using trajectory matching.
MELT
HyungJune Lee, Martin Wicke, Branislav Kusy, Leonidas J. Guibas
2008 J jnl
Non-Rigid Registration Under Isometric Deformations.
Comput. Graph. Forum
Qi-Xing Huang, Bart Adams, Martin Wicke, Leonidas J. Guibas
2008 J jnl
Polyhedral Finite Elements Using Harmonic Basis Functions.
Comput. Graph. Forum
Sebastian Martin, Peter Kaufmann, Mario Botsch, Martin Wicke, Markus H. Gross
2007 J jnl
A Finite Element Method on Convex Polyhedra.
Comput. Graph. Forum
Martin Wicke, Mario Botsch, Markus H. Gross
2007 J jnl
Adaptive Space Deformations Based on Rigid Cells.
Comput. Graph. Forum
Mario Botsch, Mark Pauly, Martin Wicke, Markus H. Gross
2007 — —
Modeling and animation with relaxed connectivity requirements.
Martin Wicke
2006 — conf
Versatile Virtual Materials Using Implicit Connectivity.
PBG@SIGGRAPH
Martin Wicke, Philipp Hatt, Mark Pauly, Matthias Müller, Markus H. Gross
2005 — conf
Conversion of Point-Sampled Models to Textured Meshes.
PBG
Martin Wicke, Sandro Olibet, Markus H. Gross
2005 J jnl
Efficient Animation of Point-Sampled Thin Shells.
Comput. Graph. Forum
Martin Wicke, Denis Steinemann, Markus H. Gross
2004 Misc conf
CSG Tree Rendering for Point-Sampled Objects.
PG
Martin Wicke, Matthias Teschner, Markus H. Gross
2004 — conf
Interactive 3D Painting on Point-Sampled Objects.
PBG
Bart Adams, Martin Wicke, Philip Dutré, Markus H. Gross, Mark Pauly, Matthias Teschner