Munich, Germany

Muhammed Kocabas

This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Muhammed Kocabas. Retrieved from https://idiyas.com/inventor/muhammed-kocabas-5trdsumi

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Muhammed Kocabas in Motion Estimation Technology.

Introduction

Muhammed Kocabas is an accomplished inventor based in Munich, Germany. He has made significant contributions to the field of motion estimation, particularly in the context of video analysis. His work has implications for various applications, including robotics and mixed reality.

Latest Patents

Kocabas holds a patent for a technology titled "Camera and articulated object motion estimation from video." This patent addresses the challenges of estimating the motion of a human or other objects in video when the camera itself is in motion. The technology provides a solution for joint estimation of both camera and articulated object motions, enhancing the accuracy of motion analysis in dynamic environments. He has 1 patent to his name.

Career Highlights

Currently, Muhammed Kocabas is employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His role at Nvidia allows him to work on cutting-edge innovations that push the boundaries of computer vision and motion estimation.

Collaborations

Kocabas has collaborated with notable colleagues in his field, including Jan Kautz and Ye Yuan. Their combined expertise contributes to the advancement of technologies that improve motion estimation and video analysis.

Conclusion

Muhammed Kocabas is a key figure in the realm of motion estimation technology, with a focus on enhancing video analysis through innovative solutions. His contributions continue to shape the future of robotics and mixed reality applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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