Felzenszwalb, P.F.[Pedro F.]
* 1998: Efficiently Computing a Good Segmentation
* 1998: Image Segmentation Using Local Variation
* 2000: Efficient Matching of Pictorial Structures
* 2001: Learning Models for Object Recognition
* 2001: Object Recognition with Pictorial Structures
* 2001: Plan-View Trajectory Estimation with Dense Stereo Background Models
* 2001: Plan-View Trajectory Estimation with Dense Stereo Background Models
* 2003: Representation and Detection of Deformable Shapes
* 2003: Representation and Detection of Shapes in Images
* 2004: Distance Transforms of Sampled Functions
* 2004: Efficient Belief Propagation for Early Vision
* 2004: Efficient Graph-Based Image Segmentation
* 2005: Pictorial Structures for Object Recognition
* 2005: Representation and Detection of Deformable Shapes
* 2005: Spatial Priors for Part-Based Recognition Using Statistical Models
* 2006: Efficient Belief Propagation for Early Vision
* 2006: Min-Cover Approach for Finding Salient Curves, A
* 2006: Object Recognition by Combining Appearance and Geometry
* 2007: Hierarchical Matching of Deformable Shapes
* 2008: discriminatively trained, multiscale, deformable part model, A
* 2009: Visibility constraints on features of 3D objects
* 2010: Cascade object detection with deformable part models
* 2010: Globally optimal pixel labeling algorithms for tree metrics
* 2010: Object Detection with Discriminatively Trained Part-Based Models
* 2010: Tiered scene labeling with dynamic programming
* 2011: Dynamic Programming and Graph Algorithms in Computer Vision
* 2011: Fast Inference with Min-Sum Matrix Product
* 2011: Object detection grammars
* 2012: Reconfigurable models for scene recognition
* 2012: Sparselet Models for Efficient Multiclass Object Detection
* 2013: TPAMI CVPR Special Section
* 2013: Visual Object Detection with Deformable Part Models
* 2015: Generalized Sparselet Models for Real-Time Multiclass Object Recognition
* 2022: Direct Estimation of Appearance Models for Segmentation
Includes: Felzenszwalb, P.F.[Pedro F.] Felzenszwalb, P.F.
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