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UCSD Computer Vision

Andrew Rabinovich, PhD

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Tissue Microarray Analysis

Weakly Supervised Object Recognition and Localization

Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learning object classifiers from weakly labeled image data, where only the presence of an object in an image is known,...

Context Based Object Categorization

The goal of object categorization is to locate and identify instances of an object category within an image. Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are pres...


Rabinovich A., Belongie S., "Scenes vs. Objects: a Comparative Study of Two Approaches to Context Based Recognition", International Workshop on Visual Scene Understanding (ViSU), Miami, FL, 2009. [BibTex][pdf]
Galleguillos C., Babenko B., Rabinovich A., Belongie S., "Weakly Supervised Object Recognition and Localization with Stable Segmentations", European Conference on Computer Vision (ECCV), Marseille, France, 2008. [BibTex][pdf]
Galleguillos C., Rabinovich A., Belongie S., "Object Categorization using Co-Occurrence, Location and Appearance", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, 2008. [BibTex][pdf]
Rabinovich A., Vedaldi A., Galleguillos C., Wiewiora E., Belongie S., "Objects in Context", ICCV, Rio de Janeiro, 2007. [BibTex][pdf]
Rabinovich A., Vedaldi A., Belongie S., "Does Image Segmentation Improve Object Categorization?", UCSD CSE Technical Report, no. CS2007-090, 2007. [BibTex][pdf]
Rabinovich A., Krajewski S., Krajewska M., Shabaik A., Hewitt S.M., Belongie S., Reed J.C., Price J.H., "Automated Scanning and Display of Tissue Microarrays", IEEE Transactions on Information Technology in Biomedicine, vol. 10, no. 12, pp. 209-219, April, 2006. [BibTex][pdf]
Rabinovich A., Lange T., Buhmann J., Belongie S., "Model Order Selection and Cue Combination for Image Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York City, 2006. [BibTex][pdf]