My research interests are in Computer Vision, Digital Humans, and Computational Behavior Science, specifically in areas of modeling, understanding, and synthesizing human motion and behavior using diverse sensors. Currently I am directing the CUBE Lab.
The research in the Computational Behavior (CUBE) Lab broadly focuses on computer vision and machine learning for behavior science and affective computing, specifically in areas of modelling, analysis, and synthesis of human behavior using diverse sensors. We develop methods to model and analyze multiple, varied nonverbal modalities (face, head, gaze, body from video, and physiology from biosensors). Our work is motivated by applications in the field of human health, computer graphics, and assistive computer vision
Research Topics
- Computer Vision
- Deep Learning
- Facial Recognition
- Augmented Reality
- 3-D Vision and Recognition
- Sensing & Perception
- Human Activity Forecasting
- Active Perception
- Field & Service Robotics
- Geometric Algorithms
- Graphics & Creative Tools
- Human-Centered Robotics
- Learning and Classification
- Multisensor Data Fusion
- Robotics Foundations
- Manipulation & Interfaces
- Robot Structures
