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ORCIDPierre-Etienne Martin
Person information
- affiliation: Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
- affiliation (former): LaBRI, University of Bordeaux, Talence, France
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2020 – today
- 2023
[c18]Aymeric Erades, Pierre-Etienne Martin, Romain Vuillemot, Boris Mansencal, Renaud Péteri, Julien Morlier, Stefan Duffner, Jenny Benois-Pineau:
SportsVideo: A Multimedia Dataset for Sports Event and Position Detection in Table Tennis and Swimming. MediaEval 2023- [c17]Pierre-Etienne Martin:
Baseline Method for the Sport Task of MediaEval 2023 3D CNNs using Attention Mechanisms for Table Tennis Stoke Detection and Classification. MediaEval 2023 - [e3]Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents] - [i10]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022. CoRR abs/2301.13576 (2023) - [i9]Pierre-Etienne Martin:
Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanisms. CoRR abs/2302.02752 (2023) - [i8]Leonard Hacker, Finn Bartels, Pierre-Etienne Martin:
Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks. CoRR abs/2302.02755 (2023) - [i7]Pierre-Etienne Martin:
Dataset Generation and Bonobo Classification from Weakly Labelled Videos. CoRR abs/2309.03671 (2023) - 2022
- [c16]Leonard Hacker, Finn Bartels, Pierre-Etienne Martin:
Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks. MediaEval 2022 - [c15]Pierre-Etienne Martin:
Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanism. MediaEval 2022 - [c14]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022. MediaEval 2022 - [e2]Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents] - [i6]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Akka Zemmari, Julien Morlier:
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. CoRR abs/2204.08460 (2022) - 2021
- [c13]Pierre-Etienne Martin:
Spatio-Temporal CNN Baseline Method for the Sports Video Task of MediaEval 2021 Benchmark. MediaEval 2021 - [c12]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from videos for MediaEval 2021. MediaEval 2021 - [c11]Anam Zahra, Pierre-Etienne Martin:
Two Stream Network for Stroke Detection in Table Tennis. MediaEval 2021 - [c10]Pierre-Etienne Martin
, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis. MMSports@MM 2021: 35-41 - [p1]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Akka Zemmari, Julien Morlier:
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition. Multi-faceted Deep Learning 2021: 199-229 - [e1]Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents] - [i5]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis. CoRR abs/2109.14306 (2021) - [i4]Pierre-Etienne Martin, Jordan Calandre, Boris Mansencal, Jenny Benois-Pineau, Renaud Péteri, Laurent Mascarilla, Julien Morlier:
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021. CoRR abs/2112.11384 (2021) - [i3]Anam Zahra, Pierre-Etienne Martin:
Two Stream Network for Stroke Detection in Table Tennis. CoRR abs/2112.12073 (2021) - [i2]Pierre-Etienne Martin:
Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark. CoRR abs/2112.12074 (2021) - 2020
- [b1]Pierre-Etienne Martin:
Fine-Grained Action Detection and Classification from Videos with Spatio-Temporal Convolutional Neural Networks. Application to Table Tennis. (Détection et classification fines d'actions à partir de vidéos par réseaux de neurones à convolutions spatio-temporelles. Application au tennis de table). University of La Rochelle, France, 2020 - [j1]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks. Multim. Tools Appl. 79(27-28): 20429-20447 (2020) - [c9]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. ICPR 2020: 6019-6026 - [c8]Kazi Ahmed Asif Fuad, Pierre-Etienne Martin, Romain Giot, Romain Bourqui, Jenny Benois-Pineau, Akka Zemmari:
Features Understanding in 3D CNNs for Actions Recognition in Video. IPTA 2020: 1-6 - [c7]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 - [c6]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020. MediaEval 2020 - [i1]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. CoRR abs/2012.05342 (2020)
2010 – 2019
- 2019
- [c5]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks. ICIP 2019: 554-558 - [c4]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri:
Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network. ICIP 2019: 3027-3028 - [c3]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 - [c2]Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre, Julien Morlier:
Sports Video Annotation: Detection of Strokes in Table Tennis Task for MediaEval 2019. MediaEval 2019 - 2018
- [c1]Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier:
Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis. CBMI 2018: 1-6
Coauthor Index
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last updated on 2024-04-14 01:15 CEST by the dblp team
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