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Pedro F. Felzenszwalb
Person information
- affiliation: Brown University, Providence, RI, USA
- award: ACM Grace Murray Hopper Award, 2013
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2020 – today
- 2023
- [j18]Anna Grim, Pedro F. Felzenszwalb:
Convex combination belief propagation. Appl. Math. Comput. 438: 127572 (2023) - 2022
- [j17]Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul:
Clustering with Semidefinite Programming and Fixed Point Iteration. J. Mach. Learn. Res. 23: 190:1-190:23 (2022) - [j16]Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez
:
Direct Estimation of Appearance Models for Segmentation. SIAM J. Imaging Sci. 15(1): 172-191 (2022) - 2021
- [j15]Pedro F. Felzenszwalb, Caroline J. Klivans:
Flow-firing processes. J. Comb. Theory A 177: 105308 (2021) - [i12]Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb, Marilyn Vazquez
Direct Estimation of Appearance Models for Segmentation. CoRR abs/2102.11121 (2021) - [i11]Anna Grim, Pedro F. Felzenszwalb:
Convex Combination Belief Propagation Algorithms. CoRR abs/2105.12815 (2021) - 2020
- [j14]Jeroen Chua, Pedro F. Felzenszwalb:
Scene Grammars, Factor Graphs, and Belief Propagation. J. ACM 67(4): 19:1-19:41 (2020) - [i10]Jeová F. S. Rocha Neto, Pedro F. Felzenszwalb:
Spectral Image Segmentation with Global Appearance Modeling. CoRR abs/2006.06573 (2020) - [i9]Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul:
Iterated Linear Optimization. CoRR abs/2012.02213 (2020) - [i8]Pedro F. Felzenszwalb, Caroline J. Klivans, Alice Paul:
Clustering with Iterated Linear Optimization. CoRR abs/2012.09202 (2020)
2010 – 2019
- 2019
- [c25]Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro F. Felzenszwalb:
Generalized Majorization-Minimization. ICML 2019: 5022-5031 - 2018
- [i7]Pedro F. Felzenszwalb:
Similar Elements and Metric Labeling on Complete Graphs. CoRR abs/1803.08037 (2018) - 2016
- [i6]Jeroen Chua, Pedro F. Felzenszwalb:
Scene Grammars, Factor Graphs, and Belief Propagation. CoRR abs/1606.01307 (2016) - 2015
- [j13]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): 1001-1012 (2015) - [c24]Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman, Pedro F. Felzenszwalb:
Automatic Discovery and Optimization of Parts for Image Classification. ICLR (Poster) 2015 - [i5]Pedro Felipe Felzenszwalb, Benar Fux Svaiter:
Diffusion Methods for Classification with Pairwise Relationships. CoRR abs/1505.06072 (2015) - [i4]Sobhan Naderi Parizi, Kun He, Stan Sclaroff, Pedro F. Felzenszwalb:
Generalized Majorization-Minimization. CoRR abs/1506.07613 (2015) - 2014
- [c23]Pedro F. Felzenszwalb, John G. Oberlin:
Multiscale Fields of Patterns. NIPS 2014: 82-90 - [r1]Yali Amit, Pedro F. Felzenszwalb:
Object Detection. Computer Vision, A Reference Guide 2014: 537-542 - [i3]Pedro F. Felzenszwalb, John G. Oberlin:
Multiscale Fields of Patterns. CoRR abs/1406.0924 (2014) - 2013
- [j12]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan:
Visual object detection with deformable part models. Commun. ACM 56(9): 97-105 (2013) - [j11]Pedro F. Felzenszwalb, David A. Forsyth, Pascal Fua
TPAMI CVPR Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2819-2820 (2013) - [p1]Pedro F. Felzenszwalb:
A Stochastic Grammar for Natural Shapes. Shape Perception in Human and Computer Vision 2013: 299-310 - [i2]Pedro F. Felzenszwalb:
A Stochastic Grammar for Natural Shapes. CoRR abs/1303.2844 (2013) - 2012
- [j10]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Distance Transforms of Sampled Functions. Theory Comput. 8(1): 415-428 (2012) - [c22]Sobhan Naderi Parizi, John G. Oberlin, Pedro F. Felzenszwalb:
Reconfigurable models for scene recognition. CVPR 2012: 2775-2782 - [c21]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: 802-815 - 2011
- [j9]Pedro F. Felzenszwalb, Ramin Zabih
Dynamic Programming and Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 33(4): 721-740 (2011) - [j8]Pedro F. Felzenszwalb, Julian J. McAuley:
Fast Inference with Min-Sum Matrix Product. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2549-2554 (2011) - [c20]Pedro F. Felzenszwalb:
Object detection grammars. ICCV Workshops 2011: 691 - [c19]Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester:
Object Detection with Grammar Models. NIPS 2011: 442-450 - [i1]Pedro F. Felzenszwalb, David A. McAllester:
The Generalized A* Architecture. CoRR abs/1110.2216 (2011) - 2010
- [j7]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): 1627-1645 (2010) - [c18]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester:
Cascade object detection with deformable part models. CVPR 2010: 2241-2248 - [c17]Pedro F. Felzenszwalb, Olga Veksler:
Tiered scene labeling with dynamic programming. CVPR 2010: 3097-3104 - [c16]Pedro F. Felzenszwalb, Gyula Pap, Éva Tardos, Ramin Zabih
Globally optimal pixel labeling algorithms for tree metrics. CVPR 2010: 3153-3160 - [c15]Pedro F. Felzenszwalb, Ross B. Girshick, David A. McAllester, Deva Ramanan:
Discriminative Latent Variable Models for Object Detection. ICML 2010: 11-12
2000 – 2009
- 2009
- [j6]László Babai
Computing rank-convolutions with a mask. ACM Trans. Algorithms 6(1): 20:1-20:13 (2009) - [c14]Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshick, David W. Jacobs, Caroline J. Klivans:
Visibility constraints on features of 3D objects. CVPR 2009: 1231-1238 - 2008
- [c13]Pedro F. Felzenszwalb, David A. McAllester, Deva Ramanan
A discriminatively trained, multiscale, deformable part model. CVPR 2008 - 2007
- [j5]Pedro F. Felzenszwalb, David A. McAllester:
The Generalized A* Architecture. J. Artif. Intell. Res. 29: 153-190 (2007) - [c12]Pedro F. Felzenszwalb, Joshua D. Schwartz:
Hierarchical Matching of Deformable Shapes. CVPR 2007 - 2006
- [j4]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Efficient Belief Propagation for Early Vision. Int. J. Comput. Vis. 70(1): 41-54 (2006) - [c11]David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Object Recognition by Combining Appearance and Geometry. Toward Category-Level Object Recognition 2006: 462-482 - [c10]Pedro F. Felzenszwalb, David A. McAllester:
A Min-Cover Approach for Finding Salient Curves. CVPR Workshops 2006: 185 - 2005
- [j3]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Pictorial Structures for Object Recognition. Int. J. Comput. Vis. 61(1): 55-79 (2005) - [j2]Pedro F. Felzenszwalb:
Representation and Detection of Deformable Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 27(2): 208-220 (2005) - [c9]David J. Crandall, Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Spatial Priors for Part-Based Recognition Using Statistical Models. CVPR (1) 2005: 10-17 - 2004
- [j1]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Efficient Graph-Based Image Segmentation. Int. J. Comput. Vis. 59(2): 167-181 (2004) - [c8]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Efficient Belief Propagation for Early Vision. CVPR (1) 2004: 261-268 - 2003
- [b1]Pedro F. Felzenszwalb:
Representation and detection of shapes in images. Massachusetts Institute of Technology, Cambridge, MA, USA, 2003 - [c7]Pedro F. Felzenszwalb:
Representation and Detection of Deformable Shapes. CVPR (1) 2003: 102-108 - [c6]Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon M. Kleinberg:
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis. NIPS 2003: 409-416 - 2001
- [c5]Pedro F. Felzenszwalb:
Learning Models for Object Recognition. CVPR (1) 2001: 1056-1062 - [c4]Trevor Darrell, David Demirdjian, Neal Checka, Pedro F. Felzenszwalb:
Plan-View Trajectory Estimation with Dense Stereo Background Models. ICCV 2001: 628-635 - 2000
- [c3]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Efficient Matching of Pictorial Structures. CVPR 2000: 2066-
1990 – 1999
- 1999
- [c2]Daniel P. Huttenlocher, Pedro F. Felzenszwalb, William Rucklidge:
Digipaper: A Versatile Color Document Image Representation. ICIP (1) 1999: 219-223 - 1998
- [c1]Pedro F. Felzenszwalb, Daniel P. Huttenlocher:
Image Segmentation Using Local Variation. CVPR 1998: 98-104
Coauthor Index
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