Unified Simulation, Perception, and Generation of Human Behavior
This work addresses the fundamental challenge of human behavior modeling for computer vision and robotics applications, but it appears incremental as it builds on existing aspects without introducing a new paradigm.
The thesis tackled the problem of modeling human behavior by taking a holistic approach to simulation, perception, and generation, showing how these aspects are interconnected and can mutually benefit each other.
Understanding and modeling human behavior is fundamental to almost any computer vision and robotics applications that involve humans. In this thesis, we take a holistic approach to human behavior modeling and tackle its three essential aspects -- simulation, perception, and generation. Throughout the thesis, we show how the three aspects are deeply connected and how utilizing and improving one aspect can greatly benefit the other aspects. We also discuss the lessons learned and our vision for what is next for human behavior modeling.