4 papers · 1 filter
Avatar4D: Synthesizing Domain-Specific 4D Humans for Real-World Pose Estimation
Jerrin Bright, Zhibo Wang, Dmytro Klepachevskyi +4
We present Avatar4D, a real-world transferable pipeline for generating customizable synthetic human motion datasets tailored to domain-specific applications. Unlike prior works, wh…
FoodTrack: Estimating Handheld Food Portions with Egocentric Video
Ervin Wang, Yuhao Chen
Accurately tracking food consumption is crucial for nutrition and health monitoring. Traditional approaches typically require specific camera angles, non-occluded images, or rely o…
SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos
Joshua Li, Fernando Jose Pena Cantu, Emily Yu +3
Video Scene Graph Generation (VidSGG) is an important topic in understanding dynamic kitchen environments. Current models for VidSGG require extensive training to produce scene gra…
Mitigating Motion Blur for Robust 3D Baseball Player Pose Modeling for Pitch Analysis
Jerrin Bright, Yuhao Chen, John Zelek
Using videos to analyze pitchers in baseball can play a vital role in strategizing and injury prevention. Computer vision-based pose analysis offers a time-efficient and cost-effec…