Oleksandr Sotnychenko

Papers

Total Citations

127

H-Index

About

Oleksandr Sotnychenko is a leading researcher in computer vision and human-computer interaction, with a primary focus on 3D hand pose estimation and reconstruction from monocular RGB video. His most significant contribution is the development of **RGB2Hands**, a groundbreaking framework that enables real-time tracking of two interacting hands in 3D using only a single RGB camera. This work directly addresses one of the most challenging problems in the field: accurately capturing the complex, occluded geometry and pose of both hands during dynamic interactions. His 2020 paper on this topic has garnered **85 citations**, and a subsequent 2021 publication has added another **42 citations**, underscoring the high relevance and impact of his research. By overcoming the limitations of prior works that were restricted to simpler tracking settings, Sotnychenko’s innovations have opened new possibilities for applications in augmented and virtual reality, robotics, and sign language recognition. His work is essential reading for anyone interested in advancing natural, markerless interfaces for immersive technologies.