• Active visual category learning 

    Vijayanarasimhan, Sudheendra (2011-05)
    Visual recognition research develops algorithms and representations to autonomously recognize visual entities such as objects, actions, and attributes. The traditional protocol involves manually collecting training image ...
  • Parametric kernels for structured data analysis 

    Shin, Young-in (2008-05)
    Structured representation of input physical patterns as a set of local features has been useful for a veriety of robotics and human computer interaction (HCI) applications. It enables a stable understanding of the variable ...
  • Reading between the lines : object localization using implicit cues from image tags 

    Hwang, Sung Ju (2010-05)
    Current uses of tagged images typically exploit only the most explicit information: the link between the nouns named and the objects present somewhere in the image. We propose to leverage “unspoken” cues that rest within ...