Karen Liu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Karen Liu is a leading figure in computer graphics and robotics, renowned for her pioneering work in physics-based character animation and human motion prediction. Her research bridges the gap between simulated and real-world movement, with a core focus on developing algorithms that enable robots and virtual agents to understand and anticipate human behavior. A standout contribution is her work on "GIMO: Gaze-Informed Human Motion Prediction in Context," which introduces a novel framework that leverages human gaze as a key signal of intention. By integrating scene context with eye-tracking data, this approach achieves more accurate and socially-aware motion forecasting, a critical capability for safe human-robot interaction and immersive AR/VR experiences. While this specific paper is recent, Dr. Liu’s broader body of work has garnered thousands of citations, reflecting her profound impact on fields from biomechanics to reinforcement learning. Her achievements include receiving the prestigious ACM SIGGRAPH Significant New Researcher Award, cementing her reputation as a visionary who continues to shape how machines perceive and predict human motion.
Research Focus
Key Achievements
Top Papers
- 1GIMO: Gaze-Informed Human Motion Prediction in Context2 citations · 2022