Nareg Minaskan
Papers
1
Total Citations
100
H-Index
1
About
Nareg Minaskan is a leading researcher in computer vision and augmented reality, with a focus on enabling intelligent, real-time interaction with physical objects. His work centers on the critical challenge of **object state estimation**—determining not just what an object is, but its current configuration, such as the position of its adjustable or removable parts. This is a fundamental problem for applications like interactive assembly guidance and robotic manipulation. His most influential contribution, the paper "Deep Multi-state Object Pose Estimation for Augmented Reality Assembly" (2019), has garnered over 100 citations, establishing a foundational neural network approach for this task. By moving beyond simple object classification, Minaskan’s research bridges the gap between static detection and dynamic, context-aware understanding. His work is particularly impactful for **augmented reality** systems, where precise knowledge of an object’s state is essential for overlaying accurate, helpful digital information. Through his innovative methods, Minaskan is helping to create more intuitive and capable AR tools for manufacturing, training, and everyday use.
Research Focus
Key Achievements
Top Papers
- 1Deep Multi-state Object Pose Estimation for Augmented Reality Assembly100 citations · 2019