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Reading between the Lines: Object Localization Using Implicit Cues from Image Tags
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Sung Ju Hwang,K. Grauman
Issue Date:June 2012
pp. 1145-1158
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 an ordered list of image tags so as...
 
Sharing features between objects and their attributes
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sung Ju Hwang, Fei Sha,K. Grauman
Issue Date:June 2011
pp. 1761-1768
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training. Rather than treat attributes as intermediate features, we consider how learning...
 
Reading between the lines: Object localization using implicit cues from image tags
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Sung Ju Hwang, Kristen Grauman
Issue Date:June 2010
pp. 2971-2978
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 an ordered list of image tags so as...
 
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