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Parsing human body into semantic regions is crucial to human-centric analysis.
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
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Synchronized video and motion capture dataset for evaluation of articulated human motion
L. Sigal and M. J. Black · 2006
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Spatial random tree grammars for modeling hierarchical structure in images with regions of arbitrary shape
J. M. Siskind, J. J. Sherman, I. Pollak, M. P. Harper, and C. A. Bouman · 2007
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Object detection combining recognition and segmentation
L. Wang, J. Shi, G. Song, and I. F. Shen · 2007
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A stochastic grammar of images
S.-C. Zhu and D. Mumford · 2007
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Max margin and/or graph learning for parsing the human body
L. Zhu, Y. Chen, Y. Lu, C. Lin, and A. Yuille · 2008
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From contours to regions: An empirical evaluation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2009
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Cutting-plane training of structural svms
T. Joachims, T. Finley, and C.-N. J. Yu · 2009
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Attribute-based people search in surveillance environments
D. A. Vaquero, R. S. Feris, D. Tran, L. Brown, A. Hampapur, and M. Turk · 2009
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Linear spatial pyramid matching using sparse coding for image classification
J. Yang, K. Yu, Y. Gong, and T. Huang · 2009
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Clustered pose and nonlinear appearance models for human pose estimation
S. Johnson and M. Everingham · 2010
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Skin detection: A random forest approach
R. Khan, A. Hanbury, , and J. Stottinger · 2010
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Locality-constrained linear coding for image classification
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong · 2010
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Shape-based pedestrian parsing
Y. Bo and C. C. Fowlkes · 2011
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Custom pictorial structures for re-identification
D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, and V. Murino · 2011
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In defense of soft-assignment coding
L. Liu, L. Wang, and X. Liu · 2011
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Human identification using body prior and generalized emd
L. Ma, X. Yang, Y. Xu, and J. Zhu · 2011
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Part-based clothing segmentation for person retrieval
M. Weber, M. Bauml, and R. Stiefelhagen · 2011
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Real-time clothing recognition in surveillance videos
M. Yang and K. Yu · 2011
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Articulated pose estimation with flexible mixtures-of-parts
Y. Yang and D. Ramanan · 2011
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Pedestrian parsing via deep decompositional network
P. Luo, X. Wang, and X. Tang · 2013
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An approach to pose-based action recognition
C. Wang, Y. Wang, and A. L. Yuille · 2013
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Discriminative re-ranking of diverse segmentations
P. Yadollahpour, D. Batra, and G. Shakhnarovich · 2013
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Action recognition with actons
J. Zhu, B. Wang, X. Yang, W. Zhang, and Z. Tu · 2013
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Articulated pose estimation by a graphical model with image dependent pairwise relations
X. Chen and A. Yuille · 2014
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Towards unified human parsing and pose estimation
J. Dong, Q. Chen, X. Shen, J. Yang, and S. Yan · 2014
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CPMC: Automatic object segmentation using constrained parametric min-cuts
J. Carreira and C. Sminchisescu · 2012
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Semantic segmentation with second-order pooling
J. a. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu · 2012
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A generative model for simultaneous estimation of human body shape and pixel-level segmentation
I. Rauschert and R. T. Collins · 2012
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Discriminative hierarchical part-based models for human parsing and action recognition
Y. Wang, D. Tran, Z. Liao, and D. Forsyth · 2012
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Parsing clothing in fashion photographs
K. Yamaguchi, M. H. K. Luis, E. Ortiz, and T. L. Berg · 2012
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Learning reconfigurable scene representation by tangram model
J. Zhu, T. Wu, S.-C. Zhu, X. Yang, and W. Zhang · 2012
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RIGOR: Reusing Inference in Graph Cuts for generating Object Regions
A. Humayun, F. Li, and J. M. Rehg · 2014
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Clothing co-parsing by joint image segmentation and labeling
W. Yang, P. Luo, and L. Lin · 2014
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Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
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Matching-cnn meets knn: Quasi-parametric human parsing
S. Liu, X. Liang, L. Liu, X. Shen, J. Yang, C. Xu, L. Lin, X. Cao, and S. Yan · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Semantic part segmentation with deep learning
S. Tsogkas, I. Kokkinos, G. Papandreou, and A. Vedaldi · 2015
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Joint object and part segmentation using deep learned potentials
P. Wang, X. Shen, Z. Lin, S. Cohen, B. Price, and A. Yuille · 2015
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