Pedro F. Felzenszwalb

57 papers A* 12Journal 29Unranked 13

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