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Shimon Schwartz
My research interests are in the fields of image processing, machine learning and computer vision with an emphasis on Compressive Sensing for efficient signal acquisition.
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Daniel S. Cho
My research interests are in image processing, medical image registration and reconstruction and I am currently working on computer-aided melanoma (one type of skin cancer) diagnosis through the modeling of physiological characteristics of skin lesions using multi-spectral imagery.
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Bi Hongbo
My research interests are in the fields of digital watermarking, signal processing, pattern recognition and related fields. I am currently particularly interested in statistical modeling and feature extraction of natural images.
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Philippe Maillard
My key research interests focus on remote sensing of vegetation in the tropics, digital mapping, image classification, image-based statistical models, and digital image processing for optical and radar imagery.
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Xuezhi (Bruce) Yang
My research interests are primarily in the fields of image processing and pattern recognition, specifically on the topics of image denoising, image segmentation and discriminative feature extraction. I am also interested in automated interpretation of Synthetic Aperture Radar (SAR) imagery and automated visual inspection system.
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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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Texture Classification
Texture Classification is the problem of distringuishing between textures, a classic problem in pattern recognition. Since many very sophisticated classifiers exist, the key challenge here is the development of effective features to extract from a given textured image.
