A bag-of-objects retrieval model for web image search
Proceedings of the 20th ACM international conference on Multimedia
Two-layer average-to-peak ratio based saliency detection
Image Communication
Salient object detection using a fuzzy theoretic approach
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Saliency detection using joint spatial-color constraint and multi-scale segmentation
Journal of Visual Communication and Image Representation
One-Class multiple instance learning via robust PCA for common object discovery
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Mesh saliency with global rarity
Graphical Models
Robust subspace discovery via relaxed rank minimization
Neural Computation
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Conventional saliency analysis methods measure the saliency of individual pixels. The resulting saliency map inevitably loses information in the original image and finding salient objects in it is difficult. We propose to detect salient objects by directly measuring the saliency of an image window in the original image and adopt the well established sliding window based object detection paradigm.