Image Segmentation Using Local Variation. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (CVPR, 1998)

Digipaper: A Versatile Color Document Image Representation. - Daniel P. Huttenlocher; Pedro F. Felzenszwalb; William Rucklidge (ICIP (1), 1999)

Efficient Matching of Pictorial Structures. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (CVPR, 2000)

Learning Models for Object Recognition. - Pedro F. Felzenszwalb (CVPR (1), 2001)

Plan-View Trajectory Estimation with Dense Stereo Background Models. - Trevor Darrell; David Demirdjian; Neal Checka; Pedro F. Felzenszwalb (ICCV, 2001)

Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher; Jon M. Kleinberg (NIPS, 2003)

Representation and detection of shapes in images. - Pedro F. Felzenszwalb (2003)

Efficient Graph-Based Image Segmentation. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (Int. J. Comput. Vis., 2004)

Spatial Priors for Part-Based Recognition Using Statistical Models. - David J. Crandall; Pedro F. Felzenszwalb; Daniel P. Huttenlocher (CVPR (1), 2005)

Pictorial Structures for Object Recognition. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (Int. J. Comput. Vis., 2005)

Representation and Detection of Deformable Shapes. - Pedro F. Felzenszwalb (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Object Recognition by Combining Appearance and Geometry. - David J. Crandall; Pedro F. Felzenszwalb; Daniel P. Huttenlocher (Toward Category-Level Object Recognition, 2006)

A Min-Cover Approach for Finding Salient Curves. - Pedro F. Felzenszwalb; David A. McAllester (CVPR Workshops, 2006)

Efficient Belief Propagation for Early Vision. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (Int. J. Comput. Vis., 2006)

Hierarchical Matching of Deformable Shapes. - Pedro F. Felzenszwalb; Joshua D. Schwartz (CVPR, 2007)

The Generalized A* Architecture. - Pedro F. Felzenszwalb; David A. McAllester (J. Artif. Intell. Res., 2007)

A discriminatively trained, multiscale, deformable part model. - Pedro F. Felzenszwalb; David A. McAllester; Deva Ramanan (CVPR, 2008)

Visibility constraints on features of 3D objects. - Ronen Basri; Pedro F. Felzenszwalb; Ross B. Girshick; David W. Jacobs; Caroline J. Klivans (CVPR, 2009)

Computing rank-convolutions with a mask. - László Babai; Pedro F. Felzenszwalb (ACM Trans. Algorithms, 2009)

Cascade object detection with deformable part models. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester (CVPR, 2010)

Globally optimal pixel labeling algorithms for tree metrics. - Pedro F. Felzenszwalb; Gyula Pap; Éva Tardos; Ramin Zabih (CVPR, 2010)

Tiered scene labeling with dynamic programming. - Pedro F. Felzenszwalb; Olga Veksler (CVPR, 2010)

Discriminative Latent Variable Models for Object Detection. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester; Deva Ramanan (ICML, 2010)

Object Detection with Discriminatively Trained Part-Based Models. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester; Deva Ramanan (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Object detection grammars. - Pedro F. Felzenszwalb (ICCV Workshops, 2011)

Object Detection with Grammar Models. - Ross B. Girshick; Pedro F. Felzenszwalb; David A. McAllester (NIPS, 2011)

Fast Inference with Min-Sum Matrix Product. - Pedro F. Felzenszwalb; Julian J. McAuley (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Dynamic Programming and Graph Algorithms in Computer Vision. - Pedro F. Felzenszwalb; Ramin Zabih (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Reconfigurable models for scene recognition. - Sobhan Naderi Parizi; John G. Oberlin; Pedro F. Felzenszwalb (CVPR, 2012)

Sparselet Models for Efficient Multiclass Object Detection. - Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross B. Girshick; Mario Fritz; Christopher Geyer; Pedro F. Felzenszwalb; Trevor Darrell (ECCV (2), 2012)

Distance Transforms of Sampled Functions. - Pedro F. Felzenszwalb; Daniel P. Huttenlocher (Theory Comput., 2012)

A Stochastic Grammar for Natural Shapes. - Pedro F. Felzenszwalb (Shape Perception in Human and Computer Vision, 2013)

Visual object detection with deformable part models. - Pedro F. Felzenszwalb; Ross B. Girshick; David A. McAllester; Deva Ramanan (Commun. ACM, 2013)

A Stochastic Grammar for Natural Shapes - Pedro F. Felzenszwalb (CoRR, 2013)

TPAMI CVPR Special Section. - Pedro F. Felzenszwalb; David A. Forsyth; Pascal Fua; Terrance E. Boult (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Multiscale Fields of Patterns. - Pedro F. Felzenszwalb; John G. Oberlin (NIPS, 2014)

Object Detection. - Yali Amit; Pedro F. Felzenszwalb (Computer Vision, A Reference Guide, 2014)

Diffusion Methods for Classification with Pairwise Relationships. - Pedro Felipe Felzenszwalb; Benar Fux Svaiter (CoRR, 2015)

Generalized Majorization-Minimization. - Sobhan Naderi Parizi; Kun He 003; Stan Sclaroff; Pedro F. Felzenszwalb (CoRR, 2015)

Automatic Discovery and Optimization of Parts for Image Classification. - Sobhan Naderi Parizi; Andrea Vedaldi; Andrew Zisserman; Pedro F. Felzenszwalb (ICLR (Poster), 2015)

Generalized Sparselet Models for Real-Time Multiclass Object Recognition. - Hyun Oh Song; Ross B. Girshick; Stefan Zickler; Christopher Geyer; Pedro F. Felzenszwalb; Trevor Darrell (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Similar Elements and Metric Labeling on Complete Graphs. - Pedro F. Felzenszwalb (CoRR, 2018)

Generalized Majorization-Minimization. - Sobhan Naderi Parizi; Kun He 003; Reza Aghajani; Stan Sclaroff; Pedro F. Felzenszwalb (ICML, 2019)

Spectral Image Segmentation with Global Appearance Modeling. - Jeová F. S. Rocha Neto; Pedro F. Felzenszwalb (CoRR, 2020)

Iterated Linear Optimization. - Pedro F. Felzenszwalb; Caroline J. Klivans; Alice Paul (CoRR, 2020)

Clustering with Iterated Linear Optimization. - Pedro F. Felzenszwalb; Caroline J. Klivans; Alice Paul (CoRR, 2020)

Scene Grammars, Factor Graphs, and Belief Propagation. - Jeroen Chua; Pedro F. Felzenszwalb (J. ACM, 2020)

Convex Combination Belief Propagation Algorithms. - Anna Grim; Pedro F. Felzenszwalb (CoRR, 2021)

Flow-firing processes. - Pedro F. Felzenszwalb; Caroline J. Klivans (J. Comb. Theory A, 2021)

Clustering with Semidefinite Programming and Fixed Point Iteration. - Pedro F. Felzenszwalb; Caroline J. Klivans; Alice Paul (J. Mach. Learn. Res., 2022)

Direct Estimation of Appearance Models for Segmentation. - Jeová F. S. Rocha Neto; Pedro F. Felzenszwalb; Marilyn Vazquez (SIAM J. Imaging Sci., 2022)

Convex combination belief propagation. - Anna Grim; Pedro F. Felzenszwalb (Appl. Math. Comput., 2023)