Jason Raphael Rambach
| E-Mail: | jason_raphael.rambach@dfki.de |
|---|---|
| Position: | Researcher |
| Phone: | +49 631 20575-3740 |
Jason Rambach received his Diploma in Computer Engineering degree from the University of Patras, Greece in 2012 and his M.Sc. in Information and Communication Engineering from the Technical University of Darmstadt, Germany in 2014. Since 2015, he has been a Researcher and Project Manager at the Augmented Vision Department of the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, Germany.
His research interests include SLAM and Semantic Scene Understanding, Object Detection and Tracking, Augmented Reality and Machine Learning. He has several publications in leading Computer Vision and Augmented Reality conferences and a best paper award from the IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2017. At DFKI Augmented Vision he was responsible for the PROWILAN and BE-GREIFEN research projects funded by the German Ministry of Education and Research (BMBF) where he lead the development of novel Camera-based and Visual-Inertial Tracking Systems for Augmented Reality. Additionally, he was involved in several industry projects with leading Automotive Companies in Germany. He is a reviewer for several scientific journals and conferences (IEEE ISMAR, IEEE VR, MDPI Sensors).
SlamCraft: Dense Planar RGB Monocular SLAM
Proceedings of. IAPR Conference on Machine Vision Applications (MVA-2019) May 27-31 Tokyo Japan IAPR 2019 .
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6DoF Object Tracking based on 3D Scans for Augmented Reality Remote Live Support
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Learning 6DoF Object Poses from Synthetic Single Channel Images
IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2018), 17th, October 16-20, München, Germany
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Universal Web-Based Tracking for Augmented Reality Applications
EuroVR (EuroVR-2018), October 22-23, London, United Kingdom
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Graphics and Media Technologies for Operators in Industry 4.0
IEEE Computer Graphics & Applications (CG&A) 38 Seiten 119-132 IEEE 10/2018 .
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Augmented Reality based on Edge Computing using the example of Remote Live Support
Proceedings of the IEEE International Conference on Industrial Technology International Conference on Industrial Technology (ICIT-17), March 22-25, Toronto, Ontario, Canada
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Augmented Things: Enhancing AR Applications leveraging the Internet of Things and Universal 3D Object Tracking
IEEE Adjunct Proceeding of IEEE International Symposium on Mixed and Augmented Reality (ISMAR-17), October 9-13, Nantes, France
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Fusion of unsynchronized optical tracker and inertial sensor in EKF framework for in-car Augmented Reality delay reduction
IEEE Adjunct Proceeding of IEEE International Symposium on Mixed and Augmented Reality (ISMAR-17), October 9-13, Nantes, France
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Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation
IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico
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Collaborative Multi-Camera Face Recognition and Tracking
IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS-2015), August 25-28, Karlsruhe, Germany
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