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  • Gangopadhyay, Aalok; Pachori, Shubham; Raman, Shanmuganathan (National Conference on Communications (NCC), 2016)
  • Ramakrishnan, Sainandan; Pachori, Shubham; Gangopadhyay, Aalok; Raman, Shanmuganathan (10/22/2017)
  • Ramakrishnan, Sainandan; Pachori, Shubham; Gangopadhyay, Aalok; Raman, Shanmuganathan (Cornell University Library, 2017-09)
    Removing blur caused by camera shake in images has always been a challenging problem in computer vision literature due to its ill-posed nature. Motion blur caused due to the relative motion between the camera and the object ...
  • Pachori, Shubham; Raman, Shanmuganathan (IIT Madras, 2017-03-02)
  • Pachori, Shubham; Deshpande, Ameya Dilip; Raman, Shanmuganathan (Cornell University Library, 2017-02)
    Techniques to learn hash codes which can store and retrieve large dimensional multimedia data efficiently have attracted broad research interests in the recent years. With rapid explosion of newly emerged concepts and ...
  • Pachori, Shubham; Raman, Shanmuganathan (Cornell University Library, 2016-11)
    Saliency detection has drawn a lot of attention of researchers in various fields over the past several years. Saliency is the perceptual quality that makes an object, person to draw the attention of humans at the very ...
  • Pachori, Shubham; Singh, Kshitij; Raman, Shanmuganathan (CVIP, 2016-02)
  • Raman, Shanmuganathan; Pachori, Shubham (Cornell University Library, 2016-10)
    This paper provides a framework to hash images containing instances of unknown object classes. In many object recognition problems, we might have access to huge amount of data. It may so happen that even this huge data ...

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