1 citations · 1 across the 5 of their papers we have counts for
5 papers
StrengthSense: A Dataset of IMU Signals Capturing Everyday Strength-Demanding Activities
Zeyu Yang, Clayton Souza Leite, Yu Xiao
Tracking strength-demanding activities with wearable sensors like IMUs is crucial for monitoring muscular strength, endurance, and power. However, there is a lack of comprehensive…
Hierarchical Motion Captioning Utilizing External Text Data Source
Clayton Leite, Yu Xiao
This paper introduces a novel approach to enhance existing motion captioning methods, which directly map representations of movement to high-level descriptive captions (e.g., ``a p…
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…
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…
Automatic Map Update Using Dashcam Videos
Aziza Zhanabatyrova, Clayton Souza Leite, Yu Xiao
Autonomous driving requires 3D maps that provide accurate and up-to-date information about semantic landmarks. Due to the wider availability and lower cost of cameras compared with…