Learning to detect partially overlapping instances. Arteta, C., Lempitsky, V., Noble, J. A., & Zisserman, A. In Proc. IEEE Conference on Computer Vision and Pattern Recognition , pages 3230-3237, Portland, OR, June, 2013.
  author = {Arteta, C. and Lempitsky, V. and Noble, J. A. and Zisserman, A.},
 address = {Portland, OR},
 booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition },
 month = {June},
 pages = {3230-3237},
 title = {Learning to detect partially overlapping instances},
 year = {2013},
 issn = {1063-6919},
 keywords = {dynamic programming;image classification;inference mechanisms;object detection;pattern clustering;support vector machines;trees (mathematics);UCSD pedestrians;dynamic programming;fluorescence microscopy images;global classification score;inference;object detection;object tuples;partially overlapping instance clustering;partially overlapping instance detection;structured output SVM framework;tree structured region graph;Dynamic programming;Estimation;Microscopy;Optimization;Standards;Training;Vectors},
 title_with_no_special_chars = {Learning to Detect Partially Overlapping Instances}

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