A5012346975- Face Recognition and Perception
- Fluid Dynamics and Heat Transfer
- Video Surveillance and Tracking Methods
- Adhesion, Friction, and Surface Interactions
- Infrastructure Maintenance and Monitoring
- Human Pose and Action Recognition
- Diversity and Impact of Dance
- Facial Nerve Paralysis Treatment and Research
- Autonomous Vehicle Technology and Safety
- Face recognition and analysis
- Human Motion and Animation
- Surface Modification and Superhydrophobicity
Columbia University
2024
University of Toronto
2023
Sun Yat-sen University
2022
Large language models are enabling rapid progress in robotic verbal communication, but nonverbal communication is not keeping pace. Physical humanoid robots struggle to express and communicate using facial movement, relying primarily on voice. The challenge twofold: First, the actuation of an expressively versatile face mechanically challenging. A second knowing what expression generate so that robot appears natural, timely, genuine. Here, we propose both barriers can be alleviated by...
Derived from the mural drawings in UNESCO-listed Mogao Caves, Dunhuang dance has unique cultural value but faces challenges of digitization and preservation. In this paper, we introduce first open comprehensive motion capture dataset dance, Chang-E , including full-body movements documented across eight categories, totaling 40 minutes professional (preview available at https://cislab.hkust-gz.edu.cn/projects/chang-e/ ). This contains three formats: skeleton data acquired capture, body mesh...
Work zones, being a critical component of roadway transportation systems, can benefit greatly from computer vision-enabled infrastructures, specifically in connected vehicle (CV) environments. Connected such as roadside units (RSU) and on-board (OBU), improve the environmental awareness safety CVs driving through work zone. The contribution this paper lies developing vision-based approach to generate zone messages real time, utilizing video streams monocular traffic cameras that be used by...