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TUM School of Computation, Information and Technology
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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members:vestner [2019/03/14 17:46]
vestner 		members:vestner [2019/03/14 17:47] (current)
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 +{{page>includes:member}}
 +
 +
 +====== Brief Bio ======
 +
 +Matthias has joined the Research Group for Computer Vision and Pattern Recognition as a Ph.D. student in June 2013.
 +
 +In spring 2015 he spent three month at the group of [[http://www.eng.tau.ac.il/~bron/|Prof. Alexander Bronstein]] at Tel Aviv University.
 +From October 2017 until April 2018 Matthias did an internship at the [[http://vladlen.info/lab/|Intel Visual Computing Lab]] under the supervision of Vladlen Koltun and René Ranftl.
 +From April until Oktober 2018 he did an internship at Apple.
 +
 +
 +====== Research Interests ======
 +
 +Non-Rigid Shape Analysis, Reconstruction, (Discrete) Differential Geometry, Variational Methods, Functional Analysis, Machine (possibly deep) Learning on non-euclidean data
 +
 +{{:members:vestner:centaur0.png?direct&600|}}
 +{{:members:vestner:centaur4.png?direct&600|}}
 +----
 +
 +====== Publications ======
 +
 +<bibtex>
 +<author>Vestner</author>
 +</bibtex>
 +
 +----
 +
 +====== Teaching ======
 +
 +
 +===== Lectures and Seminars =====
 +
 +**Winter 2018 - Seminar**\\
 +[[teaching:ws2018:seminar_shapeanalysis|Shape Analysis and Optimization (IN2107)]]\\
 +Seminar for computer science master students and mathematics master students (2h / 4 ECTS).
 +
 +
 +**Summer 2017 - Lecture**\\
 +[[teaching:ss2017:shape_2238|Analysis of Three-Dimensional Shapes (IN2238)]]\\
 +Lecture for computer science master students (4h + 2h / 8 ECTS).
 +
 +
 +**Winter 2016 - Seminar**\\
 +[[teaching:ws2016:seminar_shape_analysis|Recent Advances in the Analysis of 3D Shapes (IN2107)]]\\
 +Seminar for computer science master students and mathematics bachelor and master students (2h / 4 ECTS).
 +
 +
 +**Summer 2016 - Lecture**\\
 +[[teaching:ss2016:shape_2238|Analysis of Three-Dimensional Shapes (IN2238)]]\\
 +Lecture for computer science master students (4h + 2h / 8 ECTS).
 +
 +**Summer 2016 - Seminar**\\
 +[[teaching:ss2016:seminar_shape_analysis|Recent Advances in the Analysis of 3D Shapes (IN2107)]]\\
 +Seminar for computer science master students and mathematics bachelor and master students (2h / 4 ECTS).
 +
 +**Summer 2015 - Lecture**\\
 +[[teaching:ss2015:lecture_shape_analysis|Analysis of Three-Dimensional Shapes (IN2238)]]\\
 +Lecture for computer science master students (4h + 2h / 8 ECTS).
 +
 +**Summer 2015 - Seminar**\\
 +[[teaching:ss2015:seminar_shape_analysis|Recent Advances in the Analysis of 3D Shapes (IN2107)]]\\
 +Seminar for computer science master students and mathematics bachelor and master students (2h / 4 ECTS).
 +
 +**Summer 2014 - Lecture (tutorials)**\\
 +[[teaching:ss2014:lecture_shape_analysis|Analysis of Three-Dimensional Shapes (IN2238)]]\\
 +Lecture for computer science master students (2h + 1h / 4 ECTS).
 +
 +**Summer 2014 - Seminar**\\
 +[[teaching:ss2014:seminar_shape_analysis|Recent Advances in the Analysis of 3D Shapes (IN2107)]]\\
 +Seminar for computer science master students and mathematics bachelor and master students (2h / 4 ECTS).
 +
 +**Winter 2013/2014 - Lecture (tutorials)**\\
 +[[teaching:ws2013:ml_ws13|Machine Learning for Robotics and Computer Vision (IN3200)]]\\
 +Lecture for computer science master students (2h + 1h / 4 ECTS).
 +
 +===== Bachelor/Master's Theses and Interdisciplinary Projects (IDP) =====
 +
 +I offer Bachelor's and Master's theses  as well as IDPs for Mathematics and Computer Science students on topics related to 3D Shape Analysis.
 +**I highly recommend to attend our yearly (Summer semester) lecture and/or seminar on 3D shape analysis before starting the thesis.**
 +Possible topics include
 +
 +  * Intrinsic symmetry detection
 +  * Shape Analysis on point clouds
 +  * Comparison of discrete representations of shapes
 +  * Partial similarity between shapes
 +  * Analysis of shape collections
 +  * Global description of 3D shapes
 +  * Discrete representations of 3D shapes
 +  * Partial Differential Equations on 3D shapes
 +  * Image processing on manifolds
 +  * Interpreting correspondences as maps between function spaces
 +  * Applying Machine Learning Techniques to 3D shape analysis
 +
 +You are of course invited to propose your own topic.
 +
 +Successfully defended works include:
 +
 +| {{:members:vestner:thomas_stroehle.png?100|}} | //29.04.2016// <html><br></html>**Thomas Ströhle** (Mathematics, MS)<html><br></html> "Discrete Laplace-Beltrami Operators on Point Clouds" |
 +| {{:members:vestner:laehner.png?100|}} | //23.10.2015// <html><br></html>[[members:laehner|Zorah Lähner]] (Computer Science, MS)<html><br></html> "The Space of Functional Maps" |
 +| {{:members:vestner:philipp.png?100|}} | //07.10.2015// <html><br></html>**Thorsten Philipp** (Mathematics, MS)<html><br> </html> "Learning Descriptors for Non-Rigid 3D Shapes"|
 +
 +
 +\\
 +
 +
 +
 +----
 +
 +
 +
 +
  

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group