Pawan Kumar Mudigonda

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This paper presents several results on images of various configurations of conics. We extract information about the plane from single and multiple views of known and unknown conics, based on planar homography and conic correspondences. We show that a single conic section cannot provide sufficient information. Metric rectification of the plane can be(More)
This paper proposes an adaptive neural-compilation framework to address the problem of efficient program learning. Traditional code optimisation strategies used in compilers are based on applying pre-specified set of transformations that make the code faster to execute without changing its semantics. In contrast, our work involves adapting programs to make(More)
This thesis investigates the role of optimization in two areas of Computer Science: Computer Vision and Machine Learning. Specifically, we consider two well-known problems in Computer Vision, namely motion segmentation and object category specific image segmentation, and a fundamental problem in Machine Learning, known as maximum a posteriori (map)(More)
Hereby I confirm that the submitted thesis was prepared under my supervision and that it fulfils the requirements for the degree of Master in Mathematics. Date The auxiliary supervisor's signature Author's statement Hereby I declare that the submitted thesis was prepared by me and none of its contents was obtained by means that are against the law. The(More)
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