Selected Papers


P. Felzenszwalb R. Girshick, D. McAllester, D. Ramanan
Object Detection with Discriminatively Trained Part Based Models
DRAFT
pdf Source code

R. Basri, P. Felzenszwalb, R. Girshick, D. Jacobs, C. Klivans
Visibility Constraints on Features of 3D Objects
To appear in CVPR 2009
pdf

L. Babai, P. Felzenszwalb
Computing Rank Convolutions with a Mask
To appear in the ACM Transactions on Algorithms
pdf

P. Felzenszwalb, D. McAllester, D. Ramanan
A Discriminatively Trained, Multiscale, Deformable Part Model
IEEE Conference on Computer Vision and Pattern Recognition, 2008
pdf Source code

P. Codenotti, P. Felzenszwalb
2D Min-Filters with Polygons
17th Fall Workshop on Computational Geometry, 2007
ps.gz pdf

P. Felzenszwalb, J. Schwartz
Hierarchical Matching of Deformable Shapes
IEEE Conference on Computer Vision and Pattern Recognition, 2007
ps.gz pdf

P. Felzenszwalb, D. McAllester
The Generalized A* Architecture
Journal of Artificial Intelligence Research, Vol. 29, May 2007
ps.gz pdf

P. Felzenszwalb, D. McAllester
A Min-Cover Approach for Finding Salient Curves
IEEE Workshop on Perceptual Organization in Computer Vision, 2006
ps.gz pdf

P. Felzenszwalb, D. Huttenlocher
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision, Vol. 70, No. 1, October 2006
ps.gz pdf Source code, an earlier version from CVPR 2004: ps.gz pdf

D. Crandall, P. Felzenszwalb, D. Huttenlocher
Object Recognition by Combining Appearance and Geometry
Torwards Category-Level Object Recognition. Springer LNCS 4170, 2006
ps.gz pdf, an earlier version from CVPR 2005: ps.gz pdf

P. Felzenszwalb
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 2, February 2005
ps.gz pdf, an earlier version from CVPR 2003: ps.gz pdf

P. Felzenszwalb, D. Huttenlocher
Pictorial Structures for Object Recognition
International Journal of Computer Vision, Vol. 61, No. 1, January 2005
ps.gz pdf

P. Felzenszwalb, D. Huttenlocher
Distance Transforms of Sampled Functions
Cornell Computing and Information Science Technical Report TR2004-1963, September 2004
ps.gz pdf Source code

P. Felzenszwalb, D. Huttenlocher
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision, Vol. 59, No. 2, September 2004
ps.gz pdf Source code

P. Felzenszwalb, D. Huttenlocher, J. Kleinberg
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
Advances in Neural Information Processing Systems 16, 2003
ps.gz pdf

P. Felzenszwalb
Representation and Detection of Shapes in Images
PhD Thesis, Massachusetts Institute of Technology, September 2003
ps.gz pdf

P. Felzenszwalb
Learning Models for Object Recognition
IEEE Conference on Computer Vision and Pattern Recognition, 2001
ps.gz pdf

P. Felzenszwalb, D. Huttenlocher
Efficient Matching of Pictorial Structures
IEEE Conference on Computer Vision and Pattern Recognition, 2000
ps.gz pdf

D. Huttenlocher, P. Felzenszwalb, W. Rucklidge
Digipaper: A Versatile Color Document Image Representation
IEEE International Conference on Image Processing, 1999
pdf