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My research is in computational vision, in particular how to combine bottom-up processing, such as image segmentation with top-down information, such as recognition of familiar shapes. I'm interested in how measuring the predictive power of different visual cues can provide general information-theoretic constraints on human visual processing. I also work on developing tools for biological image analysis in order to measure morphology and spatial patterns of gene expression in developing animals.
Do We Need More Training Data or Better Models for Object Detection?
as author at British Machine Vision Conference (BMVC), Surrey 2012,