• Extended quantum cuts for unsupervised salient object extraction 

      Aytekin, Caglar; Ozan, Ezgi Can; Kiranyaz, Serkan; Gabbouj , Moncef ( Springer New York LLC , 2017 , Article)
      In this manuscript, an unsupervised salient object extraction algorithm is proposed for RGB and RGB-Depth images. Saliency estimation is formulated as a foreground detection problem. To this end, Quantum-Cuts (QCUT), a ...
    • Learning graph affinities for spectral graph-based salient object detection 

      Aytekin, Caglar Caglar; Iosifidis, Alexandros; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier Ltd , 2017 , Article)
      In this paper, we propose a novel method for learning graph affinities for salient object detection. First, we assume that a graph representation of an image is given with a predetermined connectivity rule and representative ...
    • Spatiotemporal saliency estimation by spectral foreground detection 

      Aytekin C.; Possegger H.; Mauthner T.; Kiranyaz, Mustafa Serkan; Bischof H.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)
      We present a novel approach for spatiotemporal saliency detection by optimizing a unified criterion of color contrast, motion contrast, appearance, and background cues. To this end, we first abstract the video by temporal ...