E-print Articles

E-print Articles

 

Recent Submissions

  • Raman, Shanmuganathan; Sheth, Kshiteej (Cornell University Library, 2016-09)
  • 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 ...
  • Malireddi, Sri Raghu; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Automatic segmentation of objects from a single image is a challenging problem which generally requires training on large number of images. We consider the problem of automatically segmenting only the dynamic objects from ...
  • Patil, Akshay Gadi; Raman, Shanmuganathan (Cornell University Library, 2016-04)
    Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods ...
  • Salvi, Govind; Sharma, Puneet; Raman, Shanmuganathan (Cornell University Library, 2013-05)
    Most of the real world scenes have a very high dynamic range (HDR). The mobile phone cameras and the digital cameras available in markets are limited in their capability in both the range and spatial resolution. Same ...

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