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Pierre-Etienne Martin
Pierre-Etienne Martin
CCP Department, Max Planck Institute for Evolutionary Anthropology, D-04103 Leipzig, Germany
Verified email at eva.mpg.de - Homepage
Title
Cited by
Cited by
Year
Fine grained sport action recognition with twin spatio-temporal convolutional neural networks
PE Martin, J Benois-Pineau, R Péteri, J Morlier
Multimedia Tools and Applications 79 (27), 20429-20447, 2020
342020
Sport action recognition with siamese spatio-temporal cnns: Application to table tennis
PE Martin, J Benois-Pineau, R Péteri, J Morlier
2018 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2018
272018
Optimal choice of motion estimation methods for fine-grained action classification with 3d convolutional networks
PE Martin, J Benois-Pineau, R Péteri, J Morlier
2019 IEEE International Conference on Image Processing (ICIP), 554-558, 2019
192019
Sports video annotation: detection of strokes in table tennis task for MediaEval 2019
PE Martin, J Benois-Pineau, B Mansencal, R Péteri, J Calandre, ...
MediaEval 2019 workshop, 2019
132019
Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020
PE Martin, J Benois-Pineau, B Mansencal, R Péteri, L Mascarilla, ...
MediaEval 2020 Workshop, 2021
62021
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
PE Martin, J Benois-Pineau, R Péteri, J Morlier
2020 25th International Conference on Pattern Recognition (ICPR), 6019-6026, 2021
62021
Siamese Spatio-temporal convolutional neural network for stroke classification in Table Tennis games
PE Martin, J Benois-Pineau, B Mansencal, R Péteri, J Morlier
MediaEval 2019 Workshop, 2019
62019
Fine-grained action detection and classification in table tennis with siamese spatio-temporal convolutional neural network
PE Martin, J Benois-Pineau, R Péteri
2019 IEEE International Conference on Image Processing (ICIP), 3027-3028, 2019
62019
Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021
PE Martin, J Calandre, B Mansencal, J Benois-Pineau, R Péteri, ...
arXiv preprint arXiv:2112.11384, 2021
42021
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis
PE Martin, J Benois-Pineau, R Péteri, J Morlier
Proceedings of the 4th International Workshop on Multimedia Content Analysis …, 2021
42021
Features understanding in 3D CNNS for actions recognition in video
KAA Fuad, PE Martin, R Giot, R Bourqui, J Benois-Pineau, A Zemmari
2020 Tenth International Conference on Image Processing Theory, Tools and …, 2020
42020
Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmark
PE Martin
arXiv preprint arXiv:2112.12074, 2021
32021
Fine-grained action detection and classification from videos with spatio-temporal convolutional neural networks: Application to Table Tennis.
PE Martin
Université de Bordeaux, 2020
22020
Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020
PE Martin, J Benois-Pineau, B Mansencal, R Péteri, J Morlier
MediaEval 2020 Workshop, 2020
22020
Two stream network for stroke detection in table tennis
A Zahra, PE Martin
arXiv preprint arXiv:2112.12073, 2021
12021
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition
PE Martin, J Benois-Pineau, R Péteri, A Zemmari, J Morlier
Multi-faceted Deep Learning, 199-229, 2021
12021
MediaEval 2020: Multimedia Benchmark Workshop 2020, Working Notes Proceedings of the MediaEval 2020 Workshop Online, 14-15 December 2020
S Hicks, D Jha, K Pogorelov, A Garcia Seco de Herrera, D Bogdanov, ...
Sl: CEUR, 2021
2021
Détection et classification fines d'actions à partir de vidéos par réseaux de neurones à convolutions spatio-temporelles: Application au tennis de table.: Fine-grained action …
PE Martin
Bordeaux, 2020
2020
Face Recognition using depth information
PE MARTIN
2017
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Articles 1–19