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  • Vora, Aditya; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient ...
  • Vora, Aditya; Raman, Shanmuganathan (Cornell University Library, 2017-06)
    This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image level annotations for training classifiers ...

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