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Sixth IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (POCV)

S1: Session 1

Unsupervised Learning of Categorical Segments in Image Collections

Marco Andreetto, Lihi Zelnik-Manor and Pietro Perona

Towards Unconstrained Face Recognition

Gary B. Huang, Manjunath Narayana and Erik Learned-Miller

Investigating How and When Perceptual Organization Cues Improve Boundary Detection in Natural Images

Leandro A. Loss, George Bebis, Mircea Nicolescu and Alexei Skurikhin

S2: Session 2

Towards understanding what makes 3D objects appear simple or complex

Sreenivas Rangan Sukumar, David Lon Page, Andreas Koschan and Mongi Abidi

Detecting mirror-symmetry of a volumetric shape from its single 2D image

Tadamasa Sawada and Zygmunt Pizlo

S3: Session 3

Inferring Spatial Layout from A Single Image via Depth-Ordered Grouping

Stella X. Yu, Hao Zhang and Jitendra Malik

Open Boundary Capable Edge Grouping with Feature Maps

Joachim Stahl, Kenton Oliver and Song Wang

Model-Based Perceptual Grouping and Shape Abstraction

Pablo Sala and Sven Dickinson

S4: Session 4

Hierarchical Image Segmentation by Polygon Grouping

Lakshman Prasad and Sriram Swaminarayan

Anytimeness Avoids Parameters in Detecting Closed Convex Polygons

Michael Zillich and Markus Vincze

Efficient Anisotropic alpha-Kernels Decompositions and Flows

Micha Feigin, Nir Sochen and Baba C. Vemuri

Detecting Multiple Moving Objects in Crowded Environments with Coherent Motion Regions

Anil M. Cheriyadat, Budhendra L. Bhaduri and Richard J. Radke