3 papers
cs.CV2024
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval
Nicola Messina, Jan Sedmidubsky, Fabrizio Falchi +1
Pose-estimation methods enable extracting human motion from common videos in the structured form of 3D skeleton sequences. Despite great application opportunities, effective conten…
cs.CV2023
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language
Nicola Messina, Jan Sedmidubsky, Fabrizio Falchi +1
Due to recent advances in pose-estimation methods, human motion can be extracted from a common video in the form of 3D skeleton sequences. Despite wonderful application opportuniti…
cs.CV2020
Combining Deep Learning Classifiers for 3D Action Recognition
Jan Sedmidubsky, Pavel Zezula
The popular task of 3D human action recognition is almost exclusively solved by training deep-learning classifiers. To achieve a high recognition accuracy, the input 3D actions are…