Arij Bouazizi
Papers
1
Total Citations
9
H-Index
1
About
Arij Bouazizi is a leading researcher in computer vision and autonomous driving, with a focus on advancing 3D human pose estimation (3D HPE) for safety-critical applications. Her most cited work, "Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving" (2023, 9 citations), tackles the challenge of enabling autonomous vehicles to accurately perceive and predict human movements in dynamic road environments. By developing a weakly supervised, multi-modal framework, Bouazizi addresses the scarcity of labeled 3D pose data in driving scenes, achieving robust estimation from limited annotations. This contribution is pivotal for proactive decision-making in autonomous systems, bridging the gap between controlled laboratory settings and real-world traffic scenarios. Her research extends beyond autonomous driving to human-computer interaction, robotics, and sports analytics, demonstrating the versatility of her methods. Bouazizi’s work is recognized for its practical impact, offering scalable solutions that enhance safety and responsiveness in intelligent vehicles. With a growing citation record, she is establishing herself as a key innovator in multi-modal perception and weakly supervised learning, pushing the boundaries of how machines interpret human behavior in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1