Martin Wicke
Most Recent Affiliation(s):
Bio:
2019
Martin Wicke is responsible for TensorFlow’s APIs and leads its core engineering team. Before joining Google, Martin worked in startups in various areas such as code synthesis, VR, 3D printing, robotics, CAD, and video analysis. He completed his PhD on modeling and animation at ETH Zurich, and afterwards worked on computational geometry and sensor networks at Stanford, and physics simulation at Berkeley.
Learning Category: Presentation(s):
Type: [Courses]
Differentiable Graphics With Tensorflow 2.0 Organizer(s): [Bouaziz]
Presenter(s): [Bouaziz] [Wicke] [Valentin] [Bailey] [Gordon] [Häne] [Mordvintsev] [Carter]
Entry No.: [10]
[SIGGRAPH 2019]
Type: [Frontiers]
Frontiers Talk: How Computer Graphics Expertise Will Further the State of the Art in Machine Learning Presenter(s): [Wicke]
[SIGGRAPH 2019]
Type: [Technical Papers]
Non-polynomial Galerkin projection on deforming meshes Presenter(s): [Stanton] [Sheng] [Wicke] [Perazzi] [Yuen] [Narasimhan] [Treuille]
[SIGGRAPH 2013]
Type: [Technical Papers]
Simulating Liquids and Solid Liquid Interactions With Langragian Meshes Presenter(s): [Clausen] [Wicke] [Shewchuk] [O'Brien]
[SIGGRAPH 2013]
Type: [Technical Papers]
Dynamic local remeshing for elastoplastic simulation Presenter(s): [Wicke] [Ritchie] [Klingner] [Burke] [Shewchuk] [O'Brien]
[SIGGRAPH 2010]
Type: [Technical Papers]
Modular bases for fluid dynamics Presenter(s): [Wicke] [Stanton] [Treuille]
[SIGGRAPH 2009]
Role(s):
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