Stefanos Zafeiriou

Papers

Total Citations

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About

Stefanos Zafeiriou is a leading researcher in computer vision, with a primary focus on human behaviour analysis, 3D hand pose estimation, and fine-grained material classification. His work bridges the gap between controlled laboratory settings and real-world, "in-the-wild" applications, advancing algorithms that can robustly interpret human faces, bodies, and gestures in unconstrained environments. Notably, his 2016 paper on "Fine-Grained Material Classification Using Micro-geometry and Reflectance" (60 citations) introduced novel methods for distinguishing materials based on surface microstructure and light interaction, a contribution with implications for robotics and graphics. More recently, his 2025 work "WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild" (27 citations) addresses a critical gap in hand detection pipelines, enabling accurate 3D hand pose estimation for applications in human-computer interaction, virtual reality, and robotics. Zafeiriou also served as editor for a special issue on "Human Behaviour Analysis 'In-the-Wild'" (2019), underscoring his leadership in this domain. With a career marked by high-impact, application-driven research, he continues to shape how machines perceive and interact with humans in natural settings.