Pierre-Etienne Martin

Orcid: 0000-0002-9593-4580

Affiliations:
  • Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
  • LaBRI, University of Bordeaux, Talence, France (former)


According to our database1, Pierre-Etienne Martin authored at least 24 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Dataset Generation and Bonobo Classification from Weakly Labelled Videos.
CoRR, 2023

Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanisms.
CoRR, 2023

Baseline Method for the Sport Task of MediaEval 2023 3D CNNs using Attention Mechanisms for Table Tennis Stoke Detection and Classification.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

SportsVideo: A Multimedia Dataset for Sports Event and Position Detection in Table Tennis and Swimming.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

2022
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition.
CoRR, 2022

Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Baseline Method for the Sport Task of MediaEval 2022 with 3D CNNs using Attention Mechanism.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

Fine-Grained Action Detection with RGB and Pose Information using Two Stream Convolutional Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

2021
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table Tennis.
Proceedings of the MMSports@MM 2021: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, 2021

Two Stream Network for Stroke Detection in Table Tennis.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from videos for MediaEval 2021.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

Spatio-Temporal CNN Baseline Method for the Sports Video Task of MediaEval 2021 Benchmark.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition.
Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020
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).
PhD thesis, 2020

Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks.
Multim. Tools Appl., 2020

Sports Video Classification: Classification of Strokes in Table Tennis for MediaEval 2020.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Classification of Strokes in Table Tennis with a Three Stream Spatio-Temporal CNN for MediaEval 2020.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Features Understanding in 3D CNNs for Actions Recognition in Video.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Sports Video Annotation: Detection of Strokes in Table Tennis Task for MediaEval 2019.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Siamese Spatio-Temporal Convolutional Neural Network for Stroke Classification in Table Tennis Games.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis.
Proceedings of the 2018 International Conference on Content-Based Multimedia Indexing, 2018


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