Mihai Zanfir
Papers
2
Total Citations
554
H-Index
2
About
Mihai Zanfir is a leading computer vision researcher whose work bridges the gap between human motion understanding and real-world applications, particularly in healthcare and human-robot interaction. His primary research areas include 3D human sensing, action recognition, and emotion analysis, with a focus on low-latency, efficient algorithms. Zanfir’s major contributions are exemplified by his seminal paper "The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection," which has garnered over 450 citations and introduced a fast, non-parametric framework for real-time action detection—a breakthrough for interactive technologies like gaming and surveillance. His work on "3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism" (over 100 citations) demonstrates his commitment to socially impactful AI, tackling fine-grained action and emotion recognition in challenging, non-staged therapeutic settings. This research addresses critical needs in assistive robotics, enabling robots to interpret complex human behaviors in real time. Zanfir’s achievements highlight his ability to combine theoretical rigor with practical deployment, making him a key figure in advancing human-centered computer vision.
Research Focus
Key Achievements
Top Papers
- 1
- 2