Articulated part-based model for joint object detection and pose estimation
暂无分享,去创建一个
[1] Yang Wang,et al. Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation , 2008, ECCV.
[2] Deva Ramanan,et al. Learning to parse images of articulated bodies , 2006, NIPS.
[3] Cristian Sminchisescu,et al. Structural SVM for visual localization and continuous state estimation , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[4] Thomas Hofmann,et al. Support vector machine learning for interdependent and structured output spaces , 2004, ICML.
[5] Ben Taskar,et al. Cascaded Models for Articulated Pose Estimation , 2010, ECCV.
[6] B. Schiele,et al. Combined Object Categorization and Segmentation With an Implicit Shape Model , 2004 .
[7] Vittorio Ferrari,et al. Better Appearance Models for Pictorial Structures , 2009, BMVC.
[8] T. Poggio,et al. BOOK REVIEW David Marr’s Vision: floreat computational neuroscience VISION: A COMPUTATIONAL INVESTIGATION INTO THE HUMAN REPRESENTATION AND PROCESSING OF VISUAL INFORMATION , 2009 .
[9] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[10] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[11] David Marr,et al. Vision: A computational investigation into the human representation , 1983 .
[12] William T. Freeman,et al. Latent hierarchical structural learning for object detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Daniel P. Huttenlocher,et al. Beyond trees: common-factor models for 2D human pose recovery , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[14] Guillaume Bouchard,et al. Hierarchical part-based visual object categorization , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[15] Yang Wang,et al. Learning hierarchical poselets for human parsing , 2011, CVPR 2011.
[16] Fei-Fei Li,et al. Modeling mutual context of object and human pose in human-object interaction activities , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[17] 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.
[18] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[19] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[21] Subhransu Maji,et al. Detecting People Using Mutually Consistent Poselet Activations , 2010, ECCV.
[22] Daniel P. Huttenlocher,et al. Distance Transforms of Sampled Functions , 2012, Theory Comput..
[23] Yi Yang,et al. Articulated pose estimation with flexible mixtures-of-parts , 2011, CVPR 2011.
[24] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.