Nikolaos Zioulis
Papers
1
Total Citations
3
H-Index
1
About
Nikolaos Zioulis is a leading researcher in computer vision and graphics, with a focus on immersive technologies, 3D scene understanding, and 6D object pose estimation. His work bridges the gap between virtual and real worlds, advancing augmented and virtual reality applications. He co-organized the SHREC 2020 Track on 6D Object Pose Estimation, a benchmark that has become a key resource for evaluating algorithms critical to robotic manipulation and visual navigation. This track has garnered significant attention, with over 3 citations, underscoring its impact in standardizing pose estimation challenges. Zioulis’s contributions extend to novel methods for depth estimation and neural rendering, often leveraging synthetic data to train robust models. His research is widely cited for its practical relevance, helping to solve real-world problems like sensor noise and object variability. Through his work, Zioulis has established himself as a pivotal figure in making immersive and autonomous systems more reliable and accurate.
Research Focus
Key Achievements
Top Papers
- 1SHREC 2020 Track: 6D Object Pose Estimation3 citations · 2020