Grouping data is a useful tool for many computer vision tasks.

Relevant papers

  • M. Andreetto, L. Zelnik-Manor and P. Perona, Unsupervised Learning of Categorical Segments in Image Collections, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 34(9): 1842–1855, Sep. 2012. (pdf, Code)
  • B. Hariharan, L. Zelnik-Manor, S.V. N. Vishwanathan and M. Varma, Large Scale Max-Margin Multi-Label Classification with Priors, ICML’2010 (pdf, Project page)
  • M. Andreetto, L. Zelnik-Manor and P. Perona, Non-parametric Probabilistic Image Segmentation, ICCV’2007. (pdf, Project web-page)
  • T. Hassner, L. Zelnik-Manor, G. Leifman and R. Basri, Minimal-Cut Model Composition, IEEE Shape Modeling International Conference (SMI’05), pp. 72-81, June 2005. (pdf, Project page)
    Winner of "SMI best student paper award" and "AIM@SHAPE Best paper award 2005"
  • S. Agarwal, J. Lim, L. Zelnik-Manor, P. Perona, D. Kriegman and S. Belongie, Beyond Pairwise Clustering, IEEE Conference on Computer Vision and Pattern Recognition,Vol. 2, pp. 838-845,June 2005 (CVPR’2005). (pdf, Project page)
  • L. Zelnik-Manor and P. Perona, Self-Tuning Spectral Clustering, Advances in Neural Information Processing Systems 17, pp. 1601-1608, 2005, (NIPS’2004). (pdf, Project page)
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