5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Object Motion Guided Human Motion Synthesis
Jiaman Li, Jiajun Wu, C. Karen Liu
Modeling human behaviors in contextual environments has a wide range of applications in character animation, embodied AI, VR/AR, and robotics. In real-world scenarios, humans frequ…
cs.CV2023★ 5 cited
Motion Question Answering via Modular Motion Programs
Mark Endo, Joy Hsu, Jiaman Li +1
In order to build artificial intelligence systems that can perceive and reason with human behavior in the real world, we must first design models that conduct complex spatio-tempor…
cs.CV2023★ 3 cited
CIRCLE: Capture In Rich Contextual Environments
Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel +5
Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics…