Cagri Ozcinar
Papers
3
Total Citations
154
H-Index
3
About
Cagri Ozcinar is a leading researcher at the intersection of computer vision, virtual reality (VR), and human-computer interaction. His most impactful work centers on understanding and modeling visual attention, particularly for omnidirectional (360°) images used in VR applications. His seminal 2017 paper, "Look around you: Saliency maps for omnidirectional images in VR applications," has garnered over 130 citations, establishing a foundational approach for predicting where viewers focus their gaze in immersive environments. This contribution is critical for optimizing compression, transmission, and rendering algorithms in VR, directly enhancing user experience and system efficiency. Beyond saliency, Ozcinar has explored innovative sensing paradigms, including action recognition using single-pixel time-of-flight detection—a privacy-preserving method that avoids traditional visual feeds. His diverse portfolio also includes work on shape-changing robotics and gender classification. Through his research, Ozcinar has provided key tools and insights that enable more intelligent, efficient, and privacy-conscious interactive systems, making him a notable figure in the advancement of next-generation visual computing technologies.
Research Focus
Key Achievements
Top Papers
- 1Look around you: Saliency maps for omnidirectional images in VR applications130 citations · 2017
- 2
- 3Action Recognition Using Single-Pixel Time-of-Flight Detection12 citations · 2019