Pedro F. Felzenszwalb

According to our database1, Pedro F. Felzenszwalb authored at least 50 papers between 1998 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Flow-firing processes.
J. Comb. Theory, Ser. A, 2021

Convex Combination Belief Propagation Algorithms.
CoRR, 2021

Direct Estimation of Appearance Models for Segmentation.
CoRR, 2021

2020
Scene Grammars, Factor Graphs, and Belief Propagation.
J. ACM, 2020

Clustering with Iterated Linear Optimization.
CoRR, 2020

Iterated Linear Optimization.
CoRR, 2020

Spectral Image Segmentation with Global Appearance Modeling.
CoRR, 2020

2019
Generalized Majorization-Minimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Similar Elements and Metric Labeling on Complete Graphs.
CoRR, 2018

2015
Generalized Sparselet Models for Real-Time Multiclass Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Automatic Discovery and Optimization of Parts for Image Classification.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Generalized Majorization-Minimization.
CoRR, 2015

Diffusion Methods for Classification with Pairwise Relationships.
CoRR, 2015

2014
Object Detection.
Computer Vision, A Reference Guide, 2014

Multiscale Fields of Patterns.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
TPAMI CVPR Special Section.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Stochastic Grammar for Natural Shapes
CoRR, 2013

Visual object detection with deformable part models.
Commun. ACM, 2013

A Stochastic Grammar for Natural Shapes.
Proceedings of the Shape Perception in Human and Computer Vision, 2013

2012
Distance Transforms of Sampled Functions.
Theory Comput., 2012

Sparselet Models for Efficient Multiclass Object Detection.
Proceedings of the Computer Vision - ECCV 2012, 2012

Reconfigurable models for scene recognition.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Dynamic Programming and Graph Algorithms in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Fast Inference with Min-Sum Matrix Product.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Object Detection with Grammar Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Object detection grammars.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

2010
Object Detection with Discriminatively Trained Part-Based Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Discriminative Latent Variable Models for Object Detection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Tiered scene labeling with dynamic programming.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Globally optimal pixel labeling algorithms for tree metrics.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Cascade object detection with deformable part models.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Computing rank-convolutions with a mask.
ACM Trans. Algorithms, 2009

Visibility constraints on features of 3D objects.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
A discriminatively trained, multiscale, deformable part model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
The Generalized A* Architecture.
J. Artif. Intell. Res., 2007

Hierarchical Matching of Deformable Shapes.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Efficient Belief Propagation for Early Vision.
Int. J. Comput. Vis., 2006

A Min-Cover Approach for Finding Salient Curves.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Object Recognition by Combining Appearance and Geometry.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Representation and Detection of Deformable Shapes.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Pictorial Structures for Object Recognition.
Int. J. Comput. Vis., 2005

Spatial Priors for Part-Based Recognition Using Statistical Models.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Efficient Graph-Based Image Segmentation.
Int. J. Comput. Vis., 2004

2003
Representation and detection of shapes in images.
PhD thesis, 2003

Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001
Plan-View Trajectory Estimation with Dense Stereo Background Models.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Learning Models for Object Recognition.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Efficient Matching of Pictorial Structures.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Digipaper: A Versatile Color Document Image Representation.
Proceedings of the 1999 International Conference on Image Processing, 1999

1998
Image Segmentation Using Local Variation.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998


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