Recognizing Real-World Intentions using A Multimodal Deep Learning Approach with Spatial-Temporal Graph Convolutional Networks
Jiaqi Shi,Chaoran Liu,Carlos Toshinori Ishi,Bowen Wu,Hiroshi Ishiguro,Jiaqi Shi,Chaoran Liu,Carlos Toshinori Ishi,Bowen Wu,Hiroshi Ishiguro
Identifying intentions is a critical task for comprehending the actions of others, anticipating their future behavior, and making informed decisions. However, it is challenging to recognize intentions due to the uncertainty of future human activities and the complex influence factors. In this work, we explore the method of recognizing intentions alluded under human behaviors in the real world, aim...
