A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
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Pictorial Structures for Object Recognition
International Journal of Computer Vision
Strike a Pose: Tracking People by Finding Stylized Poses
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Spectral Segmentation with Multiscale Graph Decomposition
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Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Training Deformable Models for Localization
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The Representation and Matching of Pictorial Structures
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TAG, dynamic programming, and the perceptron for efficient, feature-rich parsing
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Object Detection with Discriminatively Trained Part-Based Models
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Recovering human body configurations: combining segmentation and recognition
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Coarse-to-fine natural language processing
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SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
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Expert Systems with Applications: An International Journal
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Graphical Models
2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
International Journal of Computer Vision
Video retrieval by mimicking poses
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Has my algorithm succeeded? an evaluator for human pose estimators
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Using linking features in learning non-parametric part models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
A generative model for simultaneous estimation of human body shape and pixel-level segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Action recognition with exemplar based 2.5d graph matching
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Bounding part scores for rapid detection with deformable part models
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Appearance sharing for collective human pose estimation
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Qualitative pose estimation by discriminative deformable part models
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Discriminative hierarchical part-based models for human parsing and action recognition
The Journal of Machine Learning Research
Using coarse information for real valued prediction
Data Mining and Knowledge Discovery
Detecting People Looking at Each Other in Videos
International Journal of Computer Vision
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We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of poses of individual parts is too large to permit the use of rich appearance models, most possibilities can be ruled out by efficient structured models at a coarser scale. We propose to learn a sequence of structured models at different pose resolutions, where coarse models filter the pose space for the next level via their max-marginals. The cascade is trained to prune as much as possible while preserving true poses for the final level pictorial structure model. The final level uses much more expensive segmentation, contour and shape features in the model for the remaining filtered set of candidates. We evaluate our framework on the challenging Buffy and PASCAL human pose datasets, improving the state-of-the-art.