Pedro F. Felzenszwalb

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 13

Top Venues

CoRR

IEEE Trans. Pattern Anal. Mach. Intell.

Commun. ACM

J. Comb. Theory, Ser. A

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Anna Grim, Pedro F. Felzenszwalb
Convex combination belief propagation. Appl. Math. Comput. 438 (2023)
Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez
Direct Estimation of Appearance Models for Segmentation. SIAM J. Imaging Sci. 15 (1) (2022)
Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul
Clustering with Semidefinite Programming and Fixed Point Iteration. J. Mach. Learn. Res. 23 (2022)
Anna Grim, Pedro F. Felzenszwalb
Convex Combination Belief Propagation Algorithms. CoRR (2021)
Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez
Direct Estimation of Appearance Models for Segmentation. CoRR (2021)
Pedro F. Felzenszwalb, Caroline J. Klivans
Flow-firing processes. J. Comb. Theory, Ser. A 177 (2021)
Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul
Iterated Linear Optimization. CoRR (2020)
Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul
Clustering with Iterated Linear Optimization. CoRR (2020)
Jeroen Chua, Pedro F. Felzenszwalb
Scene Grammars, Factor Graphs, and Belief Propagation. J. ACM 67 (4) (2020)
Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb
Spectral Image Segmentation with Global Appearance Modeling. CoRR (2020)
Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro F. Felzenszwalb
Generalized Majorization-Minimization. ICML (2019)
Pedro F. Felzenszwalb
Similar Elements and Metric Labeling on Complete Graphs. CoRR (2018)
Jeroen Chua, Pedro F. Felzenszwalb
Scene Grammars, Factor Graphs, and Belief Propagation. CoRR (2016)
Sobhan Naderi Parizi, Kun He, Stan Sclaroff, Pedro F. Felzenszwalb
Generalized Majorization-Minimization. CoRR (2015)
Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman, Pedro F. Felzenszwalb
Automatic Discovery and Optimization of Parts for Image Classification. ICLR (Poster) (2015)
Hyun Oh Song, Ross B. Girshick, Stefan Zickler, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37 (5) (2015)
Pedro F. Felzenszwalb, John G. Oberlin
Multiscale Fields of Patterns. NIPS (2014)
Pedro F. Felzenszwalb, John G. Oberlin
Multiscale Fields of Patterns. CoRR (2014)
Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan
Visual object detection with deformable part models. Commun. ACM 56 (9) (2013)
Pedro F. Felzenszwalb, David A. Forsyth, Pascal Fua, Terrance E. Boult
TPAMI CVPR Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 35 (12) (2013)
Pedro F. Felzenszwalb
A Stochastic Grammar for Natural Shapes CoRR (2013)
Sobhan Naderi Parizi, John G. Oberlin, Pedro F. Felzenszwalb
Reconfigurable models for scene recognition. CVPR (2012)
Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell
Sparselet Models for Efficient Multiclass Object Detection. ECCV (2) (2012)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Distance Transforms of Sampled Functions. Theory Comput. 8 (1) (2012)
Pedro F. Felzenszwalb, David A. McAllester
The Generalized A* Architecture CoRR (2011)
Pedro F. Felzenszwalb
Object detection grammars. ICCV Workshops (2011)
Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester
Object Detection with Grammar Models. NIPS (2011)
Pedro F. Felzenszwalb, Julian J. McAuley
Fast Inference with Min-Sum Matrix Product. IEEE Trans. Pattern Anal. Mach. Intell. 33 (12) (2011)
Pedro F. Felzenszwalb, Ramin Zabih
Dynamic Programming and Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 33 (4) (2011)
Pedro F. Felzenszwalb, Gyula Pap, Éva Tardos, Ramin Zabih
Globally optimal pixel labeling algorithms for tree metrics. CVPR (2010)
Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan
Object Detection with Discriminatively Trained Part-Based Models. IEEE Trans. Pattern Anal. Mach. Intell. 32 (9) (2010)
Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester
Cascade object detection with deformable part models. CVPR (2010)
Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan
Discriminative Latent Variable Models for Object Detection. ICML (2010)
Pedro F. Felzenszwalb, Olga Veksler
Tiered scene labeling with dynamic programming. CVPR (2010)
László Babai, Pedro F. Felzenszwalb
Computing rank-convolutions with a mask. ACM Trans. Algorithms 6 (1) (2009)
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshick, David W. Jacobs, Caroline J. Klivans
Visibility constraints on features of 3D objects. CVPR (2009)
Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan
A discriminatively trained, multiscale, deformable part model. CVPR (2008)
Pedro F. Felzenszwalb, David A. McAllester
The Generalized A* Architecture. J. Artif. Intell. Res. 29 (2007)
Pedro F. Felzenszwalb, Joshua D. Schwartz
Hierarchical Matching of Deformable Shapes. CVPR (2007)
Pedro F. Felzenszwalb, David A. McAllester
A Min-Cover Approach for Finding Salient Curves. CVPR Workshops (2006)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Efficient Belief Propagation for Early Vision. Int. J. Comput. Vis. 70 (1) (2006)
David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Object Recognition by Combining Appearance and Geometry. Toward Category-Level Object Recognition (2006)
Pedro F. Felzenszwalb
Representation and Detection of Deformable Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 27 (2) (2005)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Pictorial Structures for Object Recognition. Int. J. Comput. Vis. 61 (1) (2005)
David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Spatial Priors for Part-Based Recognition Using Statistical Models. CVPR (1) (2005)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Efficient Belief Propagation for Early Vision. CVPR (1) (2004)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Efficient Graph-Based Image Segmentation. Int. J. Comput. Vis. 59 (2) (2004)
Pedro F. Felzenszwalb
Representation and Detection of Deformable Shapes. CVPR (1) (2003)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon M. Kleinberg
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis. NIPS (2003)
Trevor Darrell, David Demirdjian, Neal Checka, Pedro F. Felzenszwalb
Plan-View Trajectory Estimation with Dense Stereo Background Models. ICCV (2001)
Pedro F. Felzenszwalb
Learning Models for Object Recognition. CVPR (1) (2001)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Efficient Matching of Pictorial Structures. CVPR (2000)
Daniel P. Huttenlocher, Pedro F. Felzenszwalb, William Rucklidge
Digipaper: A Versatile Color Document Image Representation. ICIP (1) (1999)
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
Image Segmentation Using Local Variation. CVPR (1998)

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Publication Activity (10 Years)

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Pedro F. Felzenszwalb