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pro vyhledávání: '"Martin, Pierre"'
Autor:
Martin, Pierre-Etienne
This paper presents a bonobo detection and classification pipeline built from the commonly used machine learning methods. Such application is motivated by the need to test bonobos in their enclosure using touch screen devices without human assistance
Externí odkaz:
http://arxiv.org/abs/2309.03671
As participants of the MediaEval 2022 Sport Task, we propose a two-stream network approach for the classification and detection of table tennis strokes. Each stream is a succession of 3D Convolutional Neural Network (CNN) blocks using attention mecha
Externí odkaz:
http://arxiv.org/abs/2302.02755
Autor:
Martin, Pierre-Etienne
This paper presents the baseline method proposed for the Sports Video task part of the MediaEval 2022 benchmark. This task proposes two subtasks: stroke classification from trimmed videos, and stroke detection from untrimmed videos. This baseline add
Externí odkaz:
http://arxiv.org/abs/2302.02752
Autor:
Martin, Pierre-Etienne, Calandre, Jordan, Mansencal, Boris, Benois-Pineau, Jenny, Péteri, Renaud, Mascarilla, Laurent, Morlier, Julien
Sports video analysis is a widespread research topic. Its applications are very diverse, like events detection during a match, video summary, or fine-grained movement analysis of athletes. As part of the MediaEval 2022 benchmarking initiative, this t
Externí odkaz:
http://arxiv.org/abs/2301.13576
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
Widespread use of topology optimisation as a design tool for additive manufacturing faces major inhibiting obstacles, such as high computational costs and complexity, concern for other failure modes, and manufacturability. Interactive infill topology
Externí odkaz:
https://doaj.org/article/8c73d393d9e844cdb1b6ea770c39cc04
3D convolutional networks is a good means to perform tasks such as video segmentation into coherent spatio-temporal chunks and classification of them with regard to a target taxonomy. In the chapter we are interested in the classification of continuo
Externí odkaz:
http://arxiv.org/abs/2204.08460