The following publications are possibly variants of this publication:
- Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural NetworkPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri. icip 2019: 3027-3028 [doi]
- 3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural NetworksPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier. icpr 2021: 6019-6026 [doi]
- 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)Pierre-Etienne Martin. PhD thesis, University of Bordeaux, France, 2020. [doi]
- Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier. mediaeval 2021: [doi]
- Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table TennisPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier. cbmi 2018: 1-6 [doi]