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cs.LG2024
Transformer-Based Approaches for Sensor-Based Human Activity Recognition: Opportunities and Challenges
Clayton Souza Leite, Henry Mauranen, Aziza Zhanabatyrova +1
Transformers have excelled in natural language processing and computer vision, paving their way to sensor-based Human Activity Recognition (HAR). Previous studies show that transfo…
cs.LG2024
Enhancing Motion Variation in Text-to-Motion Models via Pose and Video Conditioned Editing
Clayton Leite, Yu Xiao
Text-to-motion models that generate sequences of human poses from textual descriptions are garnering significant attention. However, due to data scarcity, the range of motions thes…