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Research interests: vision, perception, machine learning, image and video understanding
My recent research is mainly concerned with deep generative and predictive models from image and video using self-supervised techniques, ie, learning approaches that do not require manual data labelling. In the past, I worked extensively on low-level vision tasks, specifically physics-based models for vision, and graph representation in images.