Miras Zakaryanov
Papers
1
Total Citations
5
H-Index
1
About
Miras Zakaryanov is a leading researcher in thermal computer vision and human pose estimation, with a focus on bridging the gap between visible and thermal imaging domains. His major contributions center on developing open-source annotated thermal human pose datasets, most notably through the OpenThermalPose2 project, which significantly expands the availability of labeled thermal data by incorporating more subjects, diverse poses, and real-world scenarios. This work addresses critical limitations in thermal vision, such as poor lighting conditions that hinder traditional visible-light systems, enabling robust human pose estimation for applications in action recognition, human-robot interaction, motion capture, augmented reality, sports analytics, and healthcare. Zakaryanov’s efforts have garnered early recognition, with his 2025 paper already accumulating 5 citations, underscoring the growing demand for accessible thermal datasets. By democratizing thermal pose data, he empowers researchers to develop deep learning models that perform reliably in low-light and nighttime environments, advancing fields like autonomous systems and surveillance. His work stands as a cornerstone for future innovations in thermal vision, making him a pivotal figure in expanding the frontiers of computer vision.
Research Focus
Key Achievements
Top Papers
- 1