Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Geometric Context from a Single Image
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
2006 Special Issue: Modeling attention to salient proto-objects
Neural Networks
Recovering Surface Layout from an Image
International Journal of Computer Vision
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Learning CRFs Using Graph Cuts
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Recovering Occlusion Boundaries from an Image
International Journal of Computer Vision
Multi-instance methods for partially supervised image segmentation
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Arbitrary body segmentation in static images
Pattern Recognition
Optimal Image and Video Closure by Superpixel Grouping
International Journal of Computer Vision
Weakly Supervised Localization and Learning with Generic Knowledge
International Journal of Computer Vision
Video object segmentation with shortest path
Proceedings of the 20th ACM international conference on Multimedia
Bottom-up perceptual organization of images into object part hypotheses
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
TriCoS: a tri-level class-discriminative co-segmentation method for image classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Automatic segmentation of unknown objects, with application to baggage security
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Extracting 3d scene-consistent object proposals and depth from stereo images
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Shape sharing for object segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Finding people using scale, rotation and articulation invariant matching
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Multi-component models for object detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
A data-driven detection optimization framework
Neurocomputing
Knowledge leverage from contours to bounding boxes: a concise approach to annotation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Video segmentation with superpixels
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Selective Search for Object Recognition
International Journal of Computer Vision
Object class detection: A survey
ACM Computing Surveys (CSUR)
Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
International Journal of Computer Vision
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We propose a category-independent method to produce a bag of regions and rank them, such that top-ranked regions are likely to be good segmentations of different objects. Our key objectives are completeness and diversity: every object should have at least one good proposed region, and a diverse set should be top-ranked. Our approach is to generate a set of segmentations by performing graph cuts based on a seed region and a learned affinity function. Then, the regions are ranked using structured learning based on various cues. Our experiments on BSDS and PASCAL VOC 2008 demonstrate our ability to find most objects within a small bag of proposed regions.