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Kai (Alex) Qin
My research interests include pattern recognition, image processing, computer vision, machine learning, evolutionary computation, remote sensing data analysis, biometrics and bioinformatics.
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Zhijie Wang
My current research focuses on Image Processing and Computer Vision, or more specifically, automated image and video analysis through detection, tracking and segmentation methods.
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Parthipan Siva
My research interests are primarily in the field of computer vision and pattern recognition with a focus on video analytics. I am particularly interesting in action/activity recognition in videos using a weakly supervised approach.
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Christian Scharfenberger
My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on saliency computation, camera calibration and stereo vision. I am particularly interested in practical applications of computer vision and image processing methods to problems in robotics and driver assistance systems.
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Sports Analytics
Sports Analytics is a growing field in computer vision that analyzes visual cues from images to provide statistical data on players, teams, and games. Want to know how a player’s technique improves the quality of the team? Can a team, based on their defensive position, increase their chances to the finals? These are a few…
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Discovery Radiomics
Radiomics, which involves the high-throughput extraction and analysis of a large amount of quantitative features from medical imaging data to characterize tumor phenotype in a quantitative manner, is ushering in a new era of imaging-driven quantitative personalized cancer decision support and management.
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Evolutionary Deep Intelligence
Deep learning has shown considerable promise in recent years, producing tremendous results and significantly improving the accuracy of a variety of challenging problems when compared to other machine learning methods.
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Video Analysis
Video analysis is a field within computer vision that involves the automatic interpretation of digital video using computer algorithms. Although humans are readily able to interpret digital video, developing algorithms for the computer to perform the same task has been highly evasive and is now an active research field.
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Stochastic Models
In many image processing, computer vision, and pattern recognition applications, there is often a large degree of uncertainty associated with factors such as the appearance of the underlying scene within the acquired data, the location and trajectory of the object of interest, the physical appearance (e.g., size, shape, color, etc.) of the objects being detected,…
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Scientific Imaging
Scientific Imaging refers to working on two- or three-dimensional imagery taken for a scientific purpose, in most cases acquired either through a microscope or remotely-sensed images taken at a distance.
