Articulated pose estimation with flexible mixtures-of-parts

Histograms of Oriented Gradients for Human Detection

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The Pascal Visual Object Classes (VOC) Challenge

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Random decision forests

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Real-time human pose recognition in parts from single depth images

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Pictorial Structures for Object Recognition

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The Concave-Convex Procedure

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Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation

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Combined Object Categorization and Segmentation With an Implicit Shape Model

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Pictorial structures revisited: People detection and articulated pose estimation

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Progressive search space reduction for human pose estimation

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Recovering human body con .gurations:combining segmentation and recognition

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Model-based image analysis of human motion using constraint propagation

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Learning to parse images of articulated bodies

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Randomized Trees for Real-Time Keypoint Recognition

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Towards Model-Based Recognition of Human Movements in Image Sequences

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Training structural SVMs when exact inference is intractable

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Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation

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Cascaded Models for Articulated Pose Estimation

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Better appearance models for pictorial structures

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Grouping dominant orientations for ill-structured road following

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Multiple Tree Models for Occlusion and Spatial Constraints in Human Pose Estimation

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Proposal maps driven MCMC for estimating human body pose in static images

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Beyond trees: common-factor models for 2D human pose recovery

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Adaptive pose priors for pictorial structures

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Improved Human Parsing with a Full Relational Model

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Training Deformable Models for Localization

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Fast globally optimal 2D human detection with loopy graph models

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Pictorial structures revisited: People detection and articulated pose estimation

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Efficient discriminative learning of parts-based models

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Bottom-up Recognition and Parsing of the Human Body

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Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation

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Object detection grammars

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Semantic Hierarchies for Recognizing Objects and Parts

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Combining discriminative appearance and segmentation cues for articulated human pose estimation

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