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Alexander Gepperth

4
Documents
Identifiants chercheurs

Présentation

**Personal Information** Family status: married, 2children Nationality: German **Experience in academia** 5/2011 – present Tenured professor at „École Nationale Supérieure de Techniques Avancées“ (Palaiseau, France) Assignments: Teaching, research, supervision of theses, organization of the specialization subject „intelligent vehicles“ Research focus: large-scale learning in intelligent vehicles **Industrial experience** 02/2008 – 5/2011 Premature tenure as „Senior Scientist“ at Honda Research Institute Europe GmbH 10/2006 – 2/2008 Four-year contract as „Senior Scientist“ at Honda Research Institute Europe GmbH, Offenbach am Main, Germany Assignments: Basic research in machine learning for intelligent vehicles, implementation of prototypes and demonstrations, communication to management and academic community, supervision of students **PhD thesis** 11/2002 – 04/2006 at the university of Bochum, institute for neural computation Subject: „Neural learning methods for visual object recognition“ Degree: Dr. rer. nat (grade: „very good“) Assignments: research, teaching, participation in third-party funded projects (Honda Research Institute Europe GmbH, Robert Bosch KG , DFG Sonderforschungsbereich 475) **Tertiary education** 10/1996 – 01/2002 Studies in physics at Ludwig-Maximilians-Universität Munich Diploma thesis: „Non-BPS states in string theory” (grade: 1,7) Degree: diploma (grade: „very good“) **Alternate civil service (instead of army service)** 8/1995 - 10/1996 at the municipal hospital Pfaffenhofen/Ilm **Secondary education** 6/1995 at Schyren-Gymnasium Pfaffenhofen/Ilm, grade: 1,8 **Skills** Computers Programming: C/C++, CUDA, Python, Matlab Web programming: HTML, CSS, PHP Operating systems: Windows, Linux Real-time middleware: ROS Scientific standard tools: LaTeX, svn, git, doxygen, bash, eclipse, gnuplot, make, cmake, ... Libraries: OpenCV, Qt, numpy/scipy, matplotlib/pylab Languages German, Czech: mother tongues English, French: fluent Spanish: advanced level Japanese:basic level **Interests** Tennis, volleyball, bodybuilding, Go, playing the violin, real-time strategy games (Starcraft)
**Personal Information** Family status: married, 2children Nationality: German **Experience in academia** 5/2011 – present Tenured professor at „École Nationale Supérieure de Techniques Avancées“ (Palaiseau, France) Assignments: Teaching, research, supervision of theses, organization of the specialization subject „intelligent vehicles“ Research focus: large-scale learning in intelligent vehicles **Industrial experience** 02/2008 – 5/2011 Premature tenure as „Senior Scientist“ at Honda Research Institute Europe GmbH 10/2006 – 2/2008 Four-year contract as „Senior Scientist“ at Honda Research Institute Europe GmbH, Offenbach am Main, Germany Assignments: Basic research in machine learning for intelligent vehicles, implementation of prototypes and demonstrations, communication to management and academic community, supervision of students **PhD thesis** 11/2002 – 04/2006 at the university of Bochum, institute for neural computation Subject: „Neural learning methods for visual object recognition“ Degree: Dr. rer. nat (grade: „very good“) Assignments: research, teaching, participation in third-party funded projects (Honda Research Institute Europe GmbH, Robert Bosch KG , DFG Sonderforschungsbereich 475) **Tertiary education** 10/1996 – 01/2002 Studies in physics at Ludwig-Maximilians-Universität Munich Diploma thesis: „Non-BPS states in string theory” (grade: 1,7) Degree: diploma (grade: „very good“) **Alternate civil service (instead of army service)** 8/1995 - 10/1996 at the municipal hospital Pfaffenhofen/Ilm **Secondary education** 6/1995 at Schyren-Gymnasium Pfaffenhofen/Ilm, grade: 1,8 **Skills** Computers Programming: C/C++, CUDA, Python, Matlab Web programming: HTML, CSS, PHP Operating systems: Windows, Linux Real-time middleware: ROS Scientific standard tools: LaTeX, svn, git, doxygen, bash, eclipse, gnuplot, make, cmake, ... Libraries: OpenCV, Qt, numpy/scipy, matplotlib/pylab Languages German, Czech: mother tongues English, French: fluent Spanish: advanced level Japanese:basic level **Interests** Tennis, volleyball, bodybuilding, Go, playing the violin, real-time strategy games (Starcraft)

Publications

thomaskopinski
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A Deep Learning Approach for Hand Posture Recognition from Depth Data

Thomas Kopinski , Fabian Sachara , Alexander Gepperth , Uwe Handmann
International Conference on Artificial Neural Networks (ICANN), 2016, Barcelona, Spain. pp.179 - 186, ⟨10.1007/978-3-319-44781-0_22⟩
Communication dans un congrès hal-01418137v1
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A simple technique for improving multi-class classification with neural networks

Thomas Kopinski , Alexander Gepperth , Uwe Handmann
European Symposium on artificial neural networks (ESANN), Jun 2015, Bruges, Belgium
Communication dans un congrès hal-01251009v1
Image document

A light-weight real-time applicable hand gesture recognition system for automotive applications

Thomas Kopinski , Stéphane Magand , Alexander Gepperth , Uwe Handmann
IEEE International Symposium on Intelligent Vehicles (IV), Jun 2015, Seoul, South Korea. pp.336-342, ⟨10.1109/IVS.2015.7225708⟩
Communication dans un congrès hal-01251413v1
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Multimodal space representation driven by self-evaluation of predictability

Mathieu Lefort , Thomas Kopinski , Alexander Gepperth
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Oct 2014, Gênes, Italy
Communication dans un congrès hal-01061668v1