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Pierre-Etienne Martin

Postdoctoral Researcher & TEC Development Coordinator

Department of Comparative Cultural Psychology
Max Planck Institute for Evolutionary Anthropology 
Deutscher Platz 6 
D-04103 Leipzig 
Germany

phone: +49 (0) 341 3550 460
email: pierre_etienne_martin@~@eva.mpg.de

Research Interests
Curriculum Vitae
Publications

Research Interests

  • Image Processing and Computer Vision
  • Fine grained action classifications
  • Deep learning methods
  • Optical Flow analysis
  • Feature analysis

Curriculum Vitae

Current Positions
2021 - present


 

Postdoctoral Researcher & TEC Development Coordinator   
Department of Comparative Cultural Psychology
Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

2021 - present
 
Scientific Advisor at DeepMove, Bordeaux, France
 
Career
2020 - 2021 


 
ATER
Temporary Teaching and Research Associate at LaBRI  
University of Bordeaux, Talence, France
 
2017 - 2020

 
PhD student at LaBRI
University of Bordeaux, Talence, France
 
2017

 
Master Internship
Institute of Thermophysics, Novosibirsk, Russia
 
Education
2021

 
French academic qualifications in Section 27 and 61
Computer Science & engineering, automation and signal processing
 
2017 - 2020





 
PhD in Computer Science, LaBRI
University of Bordeaux, France
Thesis: Fine-grained action detection and classification from videos with
spatio-temporal convolutional neural networks. Application to Table Tennis.
Supervisors: Jenny Benois Pineau - LaBRI, University of Bordeaux;
Renaud Péteri - MIA, University of La Rochelle
 
2015 - 2017



 
M.Sc. Erasmus Mundus Master in Image Processing & Computer Vision
PPCU Budapest, Hungary
Universidad Autonoma de Madrid, Spain
University of Bordeaux, France
 
2014 - 2015

 
B.Sc. in Mathematical Engineering
University of Bordeaux, France
 
2011 - 2013

 
Preparatory Class for Prestigious Engineering Schools in Physics and Chemistry
Lycée Camille Julian, Bordeaux, France
 
Teaching
2017 - 2021

 

as PhD student & ATER in LaBRI
University of Bordeaux, Talence, France

    Master classes:

    • Deep Learning in Computer Vision
    • Artificial Intelligence
    • Data Analysis, Classification, Indexing

    Bachelor classes:

    • Fundamental Algorithms and Basis of Programming
    • Excel, VBA
    • Excel, Algorithms, Python
    • Databases and Web Programming
    • Table Algorithms
    • Digital Culture and Skills
    • Computer and internet certificate
    Other Research Activities
    2019 - 2021
     
    Organizer of the Sports Video Classification task
    of the MediaEval international workshop
    2020 Editor of MediaEval 2020 international workshop
    2018 - 2019
     

    MT180 - My Thesis in 180 seconds

    2018 - 2019 Facilitator at Jamming Assembly
    2018 - 2019
     

    Presenter at The European Researchers' Night

    Administrative & Collective Responsabilities
    2019 - 2021

     
    Chairman of the External Advisory Board
    of the Erasmus Munduns Masters Course IPCV
     
    2019 - 2021
     
    Member of the Eco LaBRI committee
     
    2018 - 2021


     
    President of the AIPCV
    Alumni association of the Image Processing and Computer Vision Erasmus Mundus master programm
     
    2018 - 2021

     
    Vice-President of the AFoDIB
    Association of the Bordeaux Doctoral School of Computer Science
     
    2017 - 2021

     
    Member of the Image and Sound group of the LaBRI
    University of Bordeaux, France
     
    2020


     
    Member of the organizing committee of the School for Young Researchers in Computer Science and Mathematics
    EJCIM
     
    2020
     
    Member of the jury of the Isabelle Attali Award
     
    2019 - 2020
     
    Member of the Eco LaBRI committee
     
    Memberships
    • IEEE signal processing
    • SIF
    Presentations
    • “What’s next?” for the Erasmus master AMIR
    • AIPCV presentation at many events
    • PhD presentation at many events again
    Research Awards & Funding
    • DAAD for international stay during the PhD studies
    Languages
    • French (native)
    • English (fluent)
    • German (basic)
    • Spanisch (intermediate)

    Publications

    Journal articles

    Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier. Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks. Multimedia Tools and Applications, Springer Verlag, 2020.
    DOI  hal-02551019

    Conference papers

    Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier. 3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks. 25th International Conference on Pattern Recognition (ICPR2020), Jan 2021, Milano, Italy.
    hal-02977646

    Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, et al.. Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020. MediaEval 2020 Workshop, Jan 2021, Online, Unknown Region.
    hal-03104270

    Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier. Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020. MediaEval 2020 Workshop, Dec 2020, Online, Unknown Region.
    hal-03104275

    Kazi Ahmed Asif Fuad, Pierre-Etienne Martin, Romain Giot, Romain Bourqui, Jenny Benois-Pineau, et al.. Features Understanding in 3D CNNs for Actions Recognition in Video. Tenth International Conference on Image Processing Theory, Tools and Applications, IPTA 2020, Oct 2020, Paris, France.
    hal-02963298

    Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Peteri, Julien Morlier. Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks. 2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.554-558.
    10.1109/ICIP.2019.8803780  hal-02326240

    Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri. Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network. 2019 IEEE International Conference on Image Processing (ICIP), Sep 2019, Taipei, Taiwan. pp.3027-3028.
    10.1109/ICIP.2019.8803382  hal-02326229

    Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Jordan Calandre, et al.. Sports Video Annotation: Detection of Strokes in Table Tennis task for MediaEval 2019. MediaEval 2019 Workshop, Oct 2019, Sophia Antipolis, France.
    hal-02937666

    Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier. Siamese Spatio-temporal convolutional neural network for stroke classification in Table Tennis games. MediaEval 2019 Workshop, Oct 2019, Sophia Antipolis, France.
    hal-02937668

    Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier. Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis. 2018 International Conference on Content-Based Multimedia Indexing (CBMI), Sep 2018, La Rochelle, France. pp.1-6,
    10.1109/CBMI.2018.8516488  hal-02360011

    PhD Thesis

    Pierre-Etienne Martin. Fine-Grained Action Detection and Classification from Videos with Spatio-Temporal Convolutional Neural Networks. Application to Table Tennis.. Neural and Evolutionary Computing [cs.NE]. Université de Bordeaux; Université de la Rochelle, 2020. English.
    tel-03099907

    Master Thesis

    Pierre-Etienne Martin. Face recognition using depth information. Master thesis, Institute of Thermophysics of Novosibirsk, Russia, 2017.