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Jason Rambach

Dr. Jason Rambach

German Research Center for Artificial Intelligence (DFKI), 67663 Kaiserslautern,...

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Jason Rambach received his diploma in computer engineering 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. In 2020, he received his Ph.D. in Computer Science from the University of Kaiserslautern for his dissertation entitled “Learning Priors for Augmented Reality Tracking and Scene Understanding.” He has been at DFKI Augmented Vision in Kaiserslautern since 2015. Currently, he is a Senior Researcher leading the team “Spatial Sensing and Machine Perception” of approximately 10 researchers working on depth sensing devices and scene understanding using machine learning. His research interests include SLAM and semantic scene understanding, object detection and tracking, augmented reality and machine learning. He has had several publications in leading computer vision and augmented reality conferences and received a best paper award from the IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2017. He is a reviewer for several scientific journals and conferences (CVPR, WACV, IEEE ISMAR, IEEE VR, BMVC, MDPI).

Research Keywords & Expertise

Augmented Reality
machine learning
Sensor Fusion
SLAM
Domain Adaptation

Fingerprints

40%
Augmented Reality
18%
Object pose estimation and tracking
12%
SLAM
9%
machine learning
9%
Sensor Fusion
6%
Domain Adaptation

Short Biography

Jason Rambach received his diploma in computer engineering 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. In 2020, he received his Ph.D. in Computer Science from the University of Kaiserslautern for his dissertation entitled “Learning Priors for Augmented Reality Tracking and Scene Understanding.” He has been at DFKI Augmented Vision in Kaiserslautern since 2015. Currently, he is a Senior Researcher leading the team “Spatial Sensing and Machine Perception” of approximately 10 researchers working on depth sensing devices and scene understanding using machine learning. His research interests include SLAM and semantic scene understanding, object detection and tracking, augmented reality and machine learning. He has had several publications in leading computer vision and augmented reality conferences and received a best paper award from the IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2017. He is a reviewer for several scientific journals and conferences (CVPR, WACV, IEEE ISMAR, IEEE VR, BMVC, MDPI).