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Alexander Gepperth

5
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

david-filliat

Marginal Replay vs Conditional Replay for Continual Learning

Timothée Lesort , Alexander Gepperth , Andrei Stoian , David Filliat
ICANN, 2019, Munich, Germany
Communication dans un congrès hal-02285835v1
Image document

Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot

Louis-Charles Caron , David Filliat , Alexander Gepperth
Second Workshop on Assistive Computer Vision and Robotics (ACVR), in conjunction with European Conference on Computer Vision, Sep 2014, Zurich, Switzerland
Communication dans un congrès hal-01087392v1
Image document

Neural network based 2D/3D fusion for robotic object recognition

Louis-Charles Caron , Yang Song , David Filliat , Alexander Gepperth
European Symposium on artificial neural networks (ESANN), May 2014, Bruges, Belgium. pp.127 - 132
Communication dans un congrès hal-01012090v1
Image document

A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods

Mathieu Dubois , Paola K. Rozo , Alexander Gepperth , Fabio A. González O. , David Filliat
6th European Conference on Mobile Robotics (ECMR), IEEE, Sep 2013, Barcelona, Spain. pp.88-93, ⟨10.1109/ECMR.2013.6698825⟩
Communication dans un congrès hal-00963863v1
Image document

RGBD object recognition and visual texture classification for indoor semantic mapping

David Filliat , Emmanuel Battesti , Stéphane Bazeille , Guillaume Duceux , Alexander Gepperth
Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on, Apr 2012, United States. pp.127 - 132, ⟨10.1109/TePRA.2012.6215666⟩
Communication dans un congrès hal-00755295v1