CSG Tree Rendering for Point-Sampled Objects. - Martin Wicke; Matthias Teschner; Markus H. Gross (PG, 2004)

Interactive 3D Painting on Point-Sampled Objects. - Bart Adams; Martin Wicke; Philip Dutré; Markus H. Gross; Mark Pauly; Matthias Teschner (PBG, 2004)

Conversion of Point-Sampled Models to Textured Meshes. - Martin Wicke; Sandro Olibet; Markus H. Gross (PBG, 2005)

Efficient Animation of Point-Sampled Thin Shells. - Martin Wicke; Denis Steinemann; Markus H. Gross (Comput. Graph. Forum, 2005)

Versatile Virtual Materials Using Implicit Connectivity. - Martin Wicke; Philipp Hatt; Mark Pauly; Matthias Müller 001; Markus H. Gross (PBG@SIGGRAPH, 2006)

Adaptive Space Deformations Based on Rigid Cells. - Mario Botsch; Mark Pauly; Martin Wicke; Markus H. Gross (Comput. Graph. Forum, 2007)

A Finite Element Method on Convex Polyhedra. - Martin Wicke; Mario Botsch; Markus H. Gross (Comput. Graph. Forum, 2007)

Modeling and animation with relaxed connectivity requirements. - Martin Wicke (2007)

Localization of mobile users using trajectory matching. - HyungJune Lee; Martin Wicke; Branislav Kusy; Leonidas J. Guibas (MELT, 2008)

Non-Rigid Registration Under Isometric Deformations. - Qi-Xing Huang; Bart Adams; Martin Wicke; Leonidas J. Guibas (Comput. Graph. Forum, 2008)

Polyhedral Finite Elements Using Harmonic Basis Functions. - Sebastian Martin; Peter Kaufmann; Mario Botsch; Martin Wicke; Markus H. Gross (Comput. Graph. Forum, 2008)

Meshless Approximation Methods and Applications in Physics Based Modeling and Animation. - Bart Adams; Martin Wicke (Eurographics (Tutorials), 2009)

Predictive QoS routing to mobile sinks in wireless sensor networks. - Branislav Kusy; HyungJune Lee; Martin Wicke; Nikola Milosavljevic; Leonidas J. Guibas (IPSN, 2009)

Recovering network topology with binary sensors. - Eunjoon Cho; Ian Downes; Martin Wicke; Branislav Kusy; Leonidas J. Guibas (SenSys, 2009)

Shape Decomposition using Modal Analysis. - Qi-Xing Huang; Martin Wicke; Bart Adams; Leonidas J. Guibas (Comput. Graph. Forum, 2009)

Modular bases for fluid dynamics. - Martin Wicke; Matt Stanton; Adrien Treuille (ACM Trans. Graph., 2009)

Data stashing: energy-efficient information delivery to mobile sinks through trajectory prediction. - HyungJune Lee; Martin Wicke; Branislav Kusy; Omprakash Gnawali; Leonidas J. Guibas (IPSN, 2010)

Meshless Shape and Motion Design for Multiple Deformable Objects. - Bart Adams; Martin Wicke; Maks Ovsjanikov; Michael Wand 001; Hans-Peter Seidel; Leonidas J. Guibas (Comput. Graph. Forum, 2010)

Dynamic local remeshing for elastoplastic simulation. - Martin Wicke; Daniel Ritchie; Bryan Matthew Klingner; Sebastian Burke; Jonathan Richard Shewchuk; James F. O'Brien (ACM Trans. Graph., 2010)

Inferring mobile trajectories using a network of binary proximity sensors. - Eunjoon Cho; Kevin Wong; Omprakash Gnawali; Martin Wicke; Leonidas J. Guibas (SECON, 2011)

Simulating liquids and solid-liquid interactions with lagrangian meshes. - Pascal Clausen; Martin Wicke; Jonathan Richard Shewchuk; James F. O'Brien (ACM Trans. Graph., 2013)

Non-polynomial Galerkin projection on deforming meshes. - Matt Stanton; Yu Sheng; Martin Wicke; Federico Perazzi; Amos Yuen; Srinivasa G. Narasimhan; Adrien Treuille (ACM Trans. Graph., 2013)

Predictive Data Delivery to Mobile Users Through Mobility Learning in Wireless Sensor Networks. - HyungJune Lee; Martin Wicke; Branislav Kusy; Omprakash Gnawali; Leonidas J. Guibas (IEEE Trans. Veh. Technol., 2015)

TensorFlow: A System for Large-Scale Machine Learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (OSDI, 2016)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

TensorFlow: A system for large-scale machine learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (CoRR, 2016)

Geometry-based next frame prediction from monocular video. - Reza Mahjourian; Martin Wicke; Anelia Angelova (Intelligent Vehicles Symposium, 2017)

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform. - Denis Baylor; Eric Breck; Heng-Tze Cheng; Noah Fiedel; Chuan Yu Foo; Zakaria Haque; Salem Haykal; Mustafa Ispir; Vihan Jain; Levent Koc 001; Chiu Yuen Koo; Lukasz Lew; et al. (KDD, 2017)

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. - 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; et al. (KDD, 2017)

Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. - Reza Mahjourian; Martin Wicke; Anelia Angelova (CVPR, 2018)

Differentiable graphics with TensorFlow 2.0. - Paige Bailey; Sofien Bouaziz; Shan Carter; Josh Gordon; Christian Häne; Alexander Mordvintsev; Julien Valentin; Martin Wicke (SIGGRAPH Courses, 2019)

The CSIRO Crown-of-Thorn Starfish Detection Dataset. - Jiajun Liu; Brano Kusy; Ross Marchant; Brendan Do; Torsten Merz; Joey Crosswell; Andy Steven 001; Nic Heaney; Karl von Richter; Lachlan Tychsen-Smith; David Ahmedt-Aristizabal; Mohammad Ali Armin; et al. (CoRR, 2021)

Hyperscale Hardware Optimized Neural Architecture Search. - Sheng Li 007; Garrett Andersen; Tao Chen 003; Liqun Cheng; Julian Grady; Da Huang; Quoc V. Le; Andrew Li; Xin Li 082; Yang Li 005; Chen Liang; Yifeng Lu; et al. (ASPLOS (3), 2023)

Automating ML Model Development at Scale. - Kaiyuan Wang; Yang Li 005; Junyang Shen; Kaikai Sheng; Yiwei You; Jiaqi Zhang; Srikar Ayyalasomayajula; Julian Grady; Martin Wicke (SEIP@ICSE, 2025)