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Simon Alexander
Research interests include medical imaging, wavelets, and algorithms.
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Zohreh Azimifar
Research interests include statistical learning of generative and discriminative models for massive data sources with particular attention in statistical computer vision and pattern recognition.
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Qiyao Yu
My research interests include image segmentation, remote sensing, and video analysis. I am currently working on fast and efficient algorithms on action recognition for video surveillance. I am also interested in simultaneous localization and mapping.
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Slawo Wesolkowski
Current research interests focus on problems related to operations research and risk analysis.
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Ying Liu
My research interests lie in multidimensional signal processing, statistical modeling, and machine learning. My work is focused on the developing methodology and application algorithms for multivariate data analysis, multiresolution representation and estimation, in particular, for image and video processing, remote sensing and scientific sensing data modeling and analysis.
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Amir H. Shabani
My main research interests are in the field of computer vision, pattern recognition, and machine learning for video analytics with the focus on human tracking and event/activity recognition in video. I developed several algorithms for image and video analysis including detection and tracking of humans in video, motion estimation, multi-resolution video processing, biologically-inspired spatio-temporal filtering,…
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Jiange Grace Liu
I’m interested in the fields of image processing, computer vision, pattern recognition and related areas. My current researches are both in biomedical imaging and remote sensing.
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Lei Wang
My research interests lie in the area of data assimilation and large scale satellite image classification and mapping.
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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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Multiresolution Techniques
The VIP lab has a particularly extensive history with multiresolution methods, and a significant number of research students have explored this theme. Multiresolution methods are very broad, essentially meaning than an image or video is modeled, represented, or features extracted on more than one scale, somehow allowing both local and non-local phenomena.
