Towards Unified Human Parsing and Pose Estimation
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Jian Dong | Qiang Chen | Shuicheng Yan | Jianchao Yang | Xiaohui Shen | Qiang Chen | Shuicheng Yan | Jian Dong | Jianchao Yang | Xiaohui Shen
[1] Silvio Savarese,et al. Articulated part-based model for joint object detection and pose estimation , 2011, 2011 International Conference on Computer Vision.
[2] Svetlana Lazebnik,et al. Superparsing , 2010, International Journal of Computer Vision.
[3] Antonio Torralba,et al. Nonparametric scene parsing: Label transfer via dense scene alignment , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[5] Yuandong Tian,et al. Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation , 2012, ECCV.
[6] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[7] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[8] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Andrew Zisserman,et al. Human Pose Estimation Using a Joint Pixel-wise and Part-wise Formulation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Huizhong Chen,et al. Describing Clothing by Semantic Attributes , 2012, ECCV.
[11] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[12] Jian Dong,et al. A Deformable Mixture Parsing Model with Parselets , 2013, 2013 IEEE International Conference on Computer Vision.
[13] Long Zhu,et al. Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation , 2011, International Journal of Computer Vision.
[14] Andrew Zisserman,et al. Progressive search space reduction for human pose estimation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Yang Wang,et al. Learning hierarchical poselets for human parsing , 2011, CVPR 2011.
[16] Song-Chun Zhu,et al. Integrating Grammar and Segmentation for Human Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Luis E. Ortiz,et al. Parsing clothing in fashion photographs , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Ben Taskar,et al. MODEC: Multimodal Decomposable Models for Human Pose Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Daphne Koller,et al. Multi-level inference by relaxed dual decomposition for human pose segmentation , 2011, CVPR 2011.
[20] David A. Forsyth,et al. Improved Human Parsing with a Full Relational Model , 2010, ECCV.
[21] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[22] David A. Forsyth,et al. Discriminative hierarchical part-based models for human parsing and action recognition , 2012, J. Mach. Learn. Res..
[23] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[24] Yifei Lu,et al. Max Margin AND/OR Graph learning for parsing the human body , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Pushmeet Kohli,et al. Simultaneous Segmentation and Pose Estimation of Humans Using Dynamic Graph Cuts , 2008, International Journal of Computer Vision.