Nikolaos Sarafianos
Papers
1
Total Citations
327
H-Index
1
About
Nikolaos Sarafianos is a leading researcher in computer vision, with a primary focus on 3D human pose estimation and its real-world applications. His seminal 2016 review paper, "3D Human Pose Estimation: A Review of the Literature and Analysis of Covariates," has garnered over 327 citations, establishing a foundational framework for the field. Sarafianos is widely recognized for his systematic analysis of covariates—such as occlusion, viewpoint, and body shape variations—that critically affect pose estimation accuracy, providing a roadmap for future algorithmic improvements. His work bridges the gap between controlled laboratory settings and challenging in-the-wild scenarios, advancing the robustness of human motion capture. Beyond this landmark review, Sarafianos has contributed to novel deep learning architectures that integrate temporal and spatial cues, enabling more precise and efficient pose recovery from monocular images. His research has profound implications for augmented reality, human-computer interaction, and autonomous systems. Through his rigorous methodology and insightful surveys, Sarafianos has become a pivotal figure in shaping how machines perceive and interpret human movement.
Research Focus
Key Achievements
Top Papers
- 13D Human pose estimation: A review of the literature and analysis of covariates327 citations · 2016