Browsing by Author "Akgül, Ceyhun Burak."

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  • Analysis of functional near infrared spectroscopy signals 
    Akgül, Ceyhun Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    In recent years, positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) have facilitated the monitoring of the human brain non-invasively, during functional activity. Nevertheless, the use of ...
  • Density-based shape descriptors and similarity learning for 3D object retrieval 
    Akgül, Ceyhun Burak. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    Next generation search engines will enable query formulations, other than text, relying on visual information encoded in terms of images and shapes. Content-based retrieval research aims at developing search engines that ...
  • Improving image captioning with language modeling regularizations 
    Ulusoy, Okan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Inspired by the recent work in language modeling, we investigate the effects of a set of regularization techniques on the performance of a recurrent neural network based image captioning model. Using these techniques, we ...
  • People detection in cluttered scenes 
    Öztürk, Serdar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    In this thesis, we have performed people detection in cluttered scenes. The people search operation in an image is performed by sliding a detection window and converting the content of each window to a feature vector. Dense ...
  • Visual product recognition from retail scenes 
    Aydın, Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2017., 2017.)
    In this thesis project, we explore the problem of recognizing the products in retail scenes. We proposed a method where we localize the products by detecting their separating boundaries and recognize the product images ...

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