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MU Computer Vision Lab

For the research in computer vision, we focus on object detection, video surveillance, human activity analysis, and visual searching. For machine learning, we are currently interested in sparse coding, multiple instance learning, and transferred learning. We are the joint winner of the action recognition task in PASCAL VOC Challenge 2010. Gizmag Software to detect objects inside videos. Object-Detection Software to Enable Search Within Videos.

Vision Research Lab UC Santa Barbara

Image informatics infrastructure, developed by the VRL group and the Center for Bio-Image Informatics. Is now integrated into the iPlant cyberinfrastructure. Bisque is currently being used in many major laboratories around the world and we are in the process of adding image feature services and indexing services to facilitate large scale image data management. View Google Scholar Citations for the VRL publications. IEEE Transactions on Image Processing,.

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