Pierre-Etienne Martin
Postdoctoral Researcher & Tech 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@[>>> Please remove the text! <<<]eva.mpg.de
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 & Tech Development Coordinator |
| 2021 - 2022 | 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 |
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
Buchkapitel
Martin, P.-E., Benois-Pineau, J., Péteri, R., Zemmari, A., & Morlier, J. (2021). 3D convolutional networks for action recognition: Application to sport gesture recognition. In J. Benois-Pineau, & A. Zemmari ( |
Konferenzbeiträge
Martin, P.-E. (2021). Spatio-temporal CNN baseline method for the sports video task of MediaEval 2021 benchmark. In Proceedings MediaEval 2021: Multimedia Benchmark Workshop. |
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Martin, P.-E., Calandre, J., Mansencal, B., Benois-Pineau, J., Mascarilla, R. P. L., & Morlier, J. (2021). Sports video: Fine-grained action detection and classification of table tennis strokes from videos for MediaEval 2021. In Proceedings MediaEval 2021: Multimedia Benchmark Workshop. |
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Zahra, A., & Martin, P.-E. (2021). Two stream network for stroke detection in table tennis. In Proceedings of MediaEval 2021: Multimedia Benchmark Workshop. |
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Martin, P.-E., Benois-Pineau, J., Péteri, R., & Morlier, J. (2021). Three-stream 3D/1D CNN for fine-grained action classification and segmentation in table tennis. In MMSports'21: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports (pp. 35-41). |
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.
