Quantifying motion in 3D is important for studying the behavior of human...
Real-world behavior is often shaped by complex interactions between mult...
We propose a method for learning the posture and structure of agents fro...
We present a framework for the unsupervised learning of neurosymbolic
en...
Hand-annotated data can vary due to factors such as subjective differenc...
Multi-agent behavior modeling aims to understand the interactions that o...
Specialized domain knowledge is often necessary to accurately annotate
t...