We propose a method for learning the posture and structure of agents from unlabelled behavioral videos.
Ranked #1 on Unsupervised Human Pose Estimation on Human3.6M
1 code implementation • 6 Apr 2021 • Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
Multi-agent behavior modeling aims to understand the interactions that occur between agents.
The tasks in our method can be efficiently engineered by domain experts through a process we call "task programming", which uses programs to explicitly encode structured knowledge from domain experts.