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Silviu S. Andrei
Affiliation
Illinois Institute of Technology
Topic
Optical Flow,Additional Loss,Artifact Removal,Camera Pose,Compression Artifacts,Current Frame,Depth Map,Depth Values,Disparity Map,Dynamic Filter,Equivalency,Future Frames,Generative Adversarial Networks,Ground Truth Image,Ground Truth Labels,High-resolution Video,Homogeneous Coordinates,Hybrid Method,Learning-based Methods,MSE Loss,Minimal Degradation,Most Significant Bit,Motion Compensation,Motion Information,Multiple Frames,Original Resolution,Osteopontin,Output Stage,Pair Of Frames,Pareto Front,Past Frames,Perception Of Quality,Perceptual Loss,Pose Estimation,Pose Prediction,Progressive Training,Quality Degradation,Reconstruction Loss,Relative Pose,Simultaneous Localization And Mapping,State Of The Art,Structure From Motion,Super-resolution,Supervisory Signal,Target Resolution,Time Step,Tracking Failure,Traditional Metrics,Unsupervised Learning,Unsupervised Learning Methods,
Biography
Silviu S. Andrei received the B.Sc. degree in computer and systems engineering from the University of Transilvania, Brasov, Romania, in 2009, and the M.Sc. degree in computer science from the Illinois Institute of Technology, Chicago, IL, USA, in 2020.
He is currently an Applied Scientist with Amazon, Seattle, WA, USA. Prior to joining Amazon, he has worked at various startup companies doing computer vision work in fields such as, medical imaging, augmented reality, and SLAM. His interests include computer vision, machine learning, augmented reality, SLAM, and video enhancement/super resolution.
He is currently an Applied Scientist with Amazon, Seattle, WA, USA. Prior to joining Amazon, he has worked at various startup companies doing computer vision work in fields such as, medical imaging, augmented reality, and SLAM. His interests include computer vision, machine learning, augmented reality, SLAM, and video enhancement/super resolution.