Search Results for author: Jan Sedmidubsky

Found 2 papers, 1 papers with code

Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language

1 code implementation25 May 2023 Nicola Messina, Jan Sedmidubsky, Fabrizio Falchi, Tomáš Rebok

Due to recent advances in pose-estimation methods, human motion can be extracted from a common video in the form of 3D skeleton sequences.

Metric Learning Pose Estimation +1

Combining Deep Learning Classifiers for 3D Action Recognition

no code implementations21 Apr 2020 Jan Sedmidubsky, Pavel Zezula

The popular task of 3D human action recognition is almost exclusively solved by training deep-learning classifiers.

3D Action Recognition

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