Search results for "MRF-models"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
82	Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi	Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model.	EMMCVPR	2001	DBLP DOI BibTeX RDF
65	Stan Z. Li, Y. H. Huang, J. S. Fu	Convex MRF potential functions.	ICIP	1995	DBLP DOI BibTeX RDF	convex MRF potential functions, discontinuity preserving MRF restoration models, Bayesian image MRF models, computational properties, adaptive interaction functions, Markov processes, image restoration, regularization, functions, Bayes methods, ill-posed problems
55	Urs Köster, Jussi T. Lindgren, Aapo Hyvärinen	Estimating Markov Random Field Potentials for Natural Images.	ICA	2009	DBLP DOI BibTeX RDF
51	Masayuki Tanaka 0001, Masatoshi Okutomi	Locally adaptive learning for translation-variant MRF image priors.	CVPR	2008	DBLP DOI BibTeX RDF
49	Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay	MRF Agent Based Segmentation: Application to MRI Brain Scans.	AIME	2007	DBLP DOI BibTeX RDF
47	Suhail S. Saquib, Charles A. Bouman, Ken D. Sauer	ML parameter estimation for Markov random fields with applications to Bayesian tomography.	IEEE Trans. Image Process.	1998	DBLP DOI BibTeX RDF
46	Marshall F. Tappen	Utilizing Variational Optimization to Learn Markov Random Fields.	CVPR	2007	DBLP DOI BibTeX RDF
43	Yann Ricquebourg, Patrick Bouthemy	Subpixel estimation of normal displacements along contours using MRF-models.	ICIP	1995	DBLP DOI BibTeX RDF	subpixel estimation, normal displacements, perpendicular to the edge velocity component, local estimation, spatiotemporal surface patches, moving edges model, statistical regularization, normal motion field, homogeneous motion field, subpixel accuracy, synthetic experiments, real world sequences, optimization, motion estimation, image sequences, image sequences, statistical analysis, Markov random fields, Markov processes, convolution, convolution, image contours, MRF-models, aperture problem
37	Xin Liu, Imam Samil Yetik, Miles N. Wernick	Simultaneous estimation of the Markov random field parameters and the classes for image segmentation.	ICIP	2008	DBLP DOI BibTeX RDF
37	Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa	A tree-structured Markov random field model for Bayesian image segmentation.	IEEE Trans. Image Process.	2003	DBLP DOI BibTeX RDF
34	Jesse Bennett, Alireza Khotanzad	Modeling Textured Images Using Generalized Long Correlation Models.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	Long correlation, Markov medels, parameter estimation, texture synthesis, texture analysis, autoregressive models, random fields
31	Marshall F. Tappen, Ce Liu 0001, Edward H. Adelson, William T. Freeman	Learning Gaussian Conditional Random Fields for Low-Level Vision.	CVPR	2007	DBLP DOI BibTeX RDF
30	Alexander Kleiner, Rainer Kümmerle	Genetic MRF model optimization for real-time victim detection in search and rescue.	IROS	2007	DBLP DOI BibTeX RDF
28	Jesse Butterfield, Odest Chadwicke Jenkins, David M. Sobel, Jonas Schwertfeger	Modeling Aspects of Theory of Mind with Markov Random Fields.	Int. J. Soc. Robotics	2009	DBLP DOI BibTeX RDF	Markov random fields, Belief propagation, Multi-robot, Theory of Mind
28	Smaine Mazouzi, Mohamed Batouche	Bayesian Edge Regularization in Range Image Segmentation.	CIARP	2007	DBLP DOI BibTeX RDF	Randomized Region Growing, Image Segmentation, Markov Random Field, Range Image, Bayesian Estimation
28	Smaine Mazouzi, Mohamed Batouche	A New Bayesian Method for Range Image Segmentation.	EMMCVPR	2007	DBLP DOI BibTeX RDF	Randomized Region Growing, Image Segmentation, Markov Random Field, Range Image, Bayesian Estimation
28	Qiyao Yu, David A. Clausi	Filament Preserving Segmentation for SAR Sea Ice Imagery Using a New Statistical Model.	ICPR (4)	2006	DBLP DOI BibTeX RDF
28	Andrea Fusiello, Umberto Castellani, Vittorio Murino	Disparity map restoration by integration of confidence in Markov random fields models.	ICIP (2)	2001	DBLP DOI BibTeX RDF
28	Santhana Krishnamachari, Rama Chellappa	Delineating buildings by grouping lines with MRFs.	IEEE Trans. Image Process.	1996	DBLP DOI BibTeX RDF
23	Hotaka Takizawa, Shinji Yamamoto, Toru Matsumoto 0001, Yukio Tateno, Takeshi Iinuma, Mitsuomi Matsumoto	Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models.	ICPR (1)	2002	DBLP DOI BibTeX RDF
21	Asem M. Ali, Aly A. Farag, Georgy L. Gimel'farb	Optimizing Binary MRFs with Higher Order Cliques.	ECCV (3)	2008	DBLP DOI BibTeX RDF
21	Stephan Stilkerich, Joachim K. Anlauf	High-level design environment for massive parallel VLSI-implementations of statistical signal- and image processing models.	ISCAS (3)	2004	DBLP DOI BibTeX RDF
20	Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii	Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.	ICANN (2)	2007	DBLP DOI BibTeX RDF
20	Anna Tonazzini, Luigi Bedini, Emanuele Salerno	A Markov model for blind image separation by a mean-field EM algorithm.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
20	Alex Jesús Cuadros-Vargas, Leandro C. Gerhardinger, Mario de Castro, João Batista Neto, Luis Gustavo Nonato	Improving 2D mesh image segmentation with Markovian Random Fields.	SIBGRAPI	2006	DBLP DOI BibTeX RDF
20	Conglin Lu, Stephen M. Pizer, Sarang C. Joshi	A Markov Random Field Approach to Multi-scale Shape Analysis.	Scale-Space	2003	DBLP DOI BibTeX RDF
19	Animashree Anandkumar, Ananthram Swami, Joseph E. Yukich, Lang Tong	Energy Scaling Laws for Distributed Inference in Random Fusion Networks.	IEEE J. Sel. Areas Commun.	2009	DBLP DOI BibTeX RDF
19	Stefan Roth 0001, Michael J. Black	Fields of Experts.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Learning, Markov random fields, Image restoration, Image modeling, Low-level vision
19	Akisato Kimura, Derek Pang, Tatsuto Takeuchi, Junji Yamato, Kunio Kashino	Dynamic Markov random fields for stochastic modeling of visual attention.	ICPR	2008	DBLP DOI BibTeX RDF
19	Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús	Improving Potts MRF Model Parameter Estimation in Image Analysis.	CSE	2008	DBLP DOI BibTeX RDF	Maximum Pseudo-Likelihood Estimation, Markov Random Fields, Image Analysis, Potts model
19	Yunpeng Li, Daniel P. Huttenlocher	Learning for Optical Flow Using Stochastic Optimization.	ECCV (2)	2008	DBLP DOI BibTeX RDF
19	Min Xu 0012, Hao Chen 0001, Pramod K. Varshney	A novel approach for image fusion based on Markov Random Fields.	CISS	2008	DBLP DOI BibTeX RDF
19	Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas C. Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung	Supervised Learning of Image Restoration with Convolutional Networks.	ICCV	2007	DBLP DOI BibTeX RDF
19	Fei Liu 0027, Dongxiang Xu, Chun Yuan, William S. Kerwin	Image segmentation based on Bayesian network-Markov random field model and its application to in vivo plaque composition.	ISBI	2006	DBLP DOI BibTeX RDF
19	Siddhartha Shakya, John A. W. McCall, Deryck Forsyth Brown	Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
19	Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng	Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.	CVPR (2)	2005	DBLP DOI BibTeX RDF
19	Stefan Roth 0001, Michael J. Black	Fields of Experts: A Framework for Learning Image Priors.	CVPR (2)	2005	DBLP DOI BibTeX RDF
19	Jue Wu, Albert C. S. Chung	Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation.	MICCAI	2005	DBLP DOI BibTeX RDF
19	Huawu Deng, David A. Clausi	Gaussian MRF Rotation-Invariant Features for Image Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF
19	Huawu Deng, David A. Clausi	Advanced Gaussian MRF Rotation-Invariant Texture Features for Classification of Remote Sensing Imagery.	CVPR (2)	2003	DBLP DOI BibTeX RDF
19	Song Chun Zhu, Ying Nian Wu, David Mumford	Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling.	Int. J. Comput. Vis.	1998	DBLP DOI BibTeX RDF	texture analysis and synthesis, minimax entropy, feature pursuit, Markov random field, maximum entropy, texture modeling, visual learning
19	Song Chun Zhu, Ying Nian Wu, David Mumford	FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling.	CVPR	1996	DBLP DOI BibTeX RDF	Minimax Entropy Principle, Filter Pursuit, Markov Random Field, Texture Synthesis, Texture Analysis
18	Vasiliy Usatyuk, Sergey Egorov, Denis Sapozhnikov	Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning.	CoRR	2023	DBLP DOI BibTeX RDF
18	Nikos Komodakis, Bo Xiang, Nikos Paragios	A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models.	IEEE Trans. Pattern Anal. Mach. Intell.	2015	DBLP DOI BibTeX RDF
18	T. Parag	Coupled label and intensity MRF models for IR target detection.	CVPR Workshops	2011	DBLP DOI BibTeX RDF
18	Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat	Distributed Local MRF Models for Tissue and Structure Brain Segmentation.	IEEE Trans. Medical Imaging	2009	DBLP DOI BibTeX RDF
18	Kegan G. G. Samuel, Marshall F. Tappen	Learning optimized MAP estimates in continuously-valued MRF models.	CVPR	2009	DBLP DOI BibTeX RDF
18	Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada, Masato Okada, Takashi Morie	Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation.	IJCNN	2009	DBLP DOI BibTeX RDF
18	Liang Geng, Weibei Dou	Fuzzy MRF Models with Multifractal Analysis for MRI Brain Tissue Classification.	BIOSIGNALS (1)	2008	DBLP BibTeX RDF
18	Sang-Churl Nam, Masahide Abe, Masayuki Kawamata	Fast Blotch Detection Algorithm for Degraded Film Sequences Based on MRF Models.	ICIP (3)	2007	DBLP DOI BibTeX RDF
18	Su Ruan, Jonathan Bailleul	MRI segmentation using multifractal analysis and MRF models.	VISAPP (Special Sessions)	2007	DBLP BibTeX RDF
18	Sebastiano B. Serpico, Gabriele Moser	Weight Parameter Optimization by the Ho-Kashyap Algorithm in MRF Models for Supervised Image Classification.	IEEE Trans. Geosci. Remote. Sens.	2006	DBLP DOI BibTeX RDF
18	Myunghee Jung, Eui-Jung Yun, Cheonshik Kim	Multiresolution approach for texture segmentation using MRF models.	IGARSS	2005	DBLP DOI BibTeX RDF
18	Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa	Multitemporal image classification with automatic building of tree-structured MRF models.	EUSIPCO	2005	DBLP BibTeX RDF
18	Antonin Chambolle	Total Variation Minimization and a Class of Binary MRF Models.	EMMCVPR	2005	DBLP DOI BibTeX RDF
18	Huawu Deng, David A. Clausi	Unsupervised Segmentation of Synthetic Aperture Radar Sea Ice Imagery Using MRF Models.	CRV	2004	DBLP DOI BibTeX RDF	sea ice, image segmentation, texture, Markov random field (MRF), mixture model, synthetic aperture radar (SAR), K-means clustering, image feature, unsupervised segmentation, Gamma distribution, expectation-maximization (EM)
18	Mariano Rivera, James C. Gee	Two--level MRF Models for Image Restoration and Segmentation.	BMVC	2004	DBLP DOI BibTeX RDF
18	Vittorio Murino	Reconstruction and segmentation of underwater acoustic images combining confidence information in MRF models.	Pattern Recognit.	2001	DBLP DOI BibTeX RDF
18	Hotaka Takizawa, Shinji Yamamoto, Toru Matsumoto 0001, Yukio Tateno, Takeshi Iinuma, Mitsuomi Matsumoto	Recognition of lung nodules from X-ray CT images using 3D MRF models.	CARS	2001	DBLP BibTeX RDF
18	Geir Storvik, Geir Dahl	Lagrangian-based methods for finding MAP solutions for MRF models.	IEEE Trans. Image Process.	2000	DBLP DOI BibTeX RDF
18	Tatsuya Yamazaki, Denis Gingras	Unsupervised multispectral image classification using MRF models and VQ method.	IEEE Trans. Geosci. Remote. Sens.	1999	DBLP DOI BibTeX RDF
18	Janusz Konrad, Viet-Nam Dang	Coding-oriented video segmentation inspired by MRF models.	ICIP (1)	1996	DBLP DOI BibTeX RDF
18	Tatsuya Yamazaki, Denis Gingras	Image classification using spectral and spatial information based on MRF models.	IEEE Trans. Image Process.	1995	DBLP DOI BibTeX RDF
18	P. K. Nanda, Uday B. Desai, P. G. Poonacha	Joint Parameter Estimation and Restoration using MRF Models and Homotopy Continuation Method.	ICIP (2)	1994	DBLP DOI BibTeX RDF
18	P. K. Nanda, Uday B. Desai, P. G. Poonacha	A Homotopy Continuation Method for Parameter Estimation in MRF Models and Image Restoration.	ISCAS	1994	DBLP DOI BibTeX RDF
13	Davi Geiger, Federico Girosi	Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	mean field techniques, parallel algorithms, parallel algorithms, picture processing, picture processing, statistical analysis, Markov processes, iterative methods, surface reconstruction, deterministic algorithms, iterative algorithm, Markov random field model, statistical mechanics
12	Boris Flach, Dmitrij Schlesinger	Combining Shape Priors and MRF-Segmentation.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
12	Daniel Scharstein, Chris Pal	Learning Conditional Random Fields for Stereo.	CVPR	2007	DBLP DOI BibTeX RDF
12	Sarat C. Dass, Anil K. Jain 0001, Xiaoguang Lu	Face Detection and Synthesis Using Markov Random Field Models.	ICPR (4)	2002	DBLP DOI BibTeX RDF
12	Jesse Bennett, Alireza Khotanzad	Multispectral Random Field Models for Synthesis and Analysis of Color Images.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	Color texture models, color texture synthesis, color texture analysis, multispectral random fields, multispectral simultaneous autoregressive models, multispectral Markov random field models, multispectral pseudo-Markov random field models, least squares estimation
11	Sang Hwa Lee, Nam Ik Cho, Jong-Il Park	Disparity estimation using color coherence and stochastic diffusion.	ICIP	2004	DBLP DOI BibTeX RDF
11	Keng-Pang Lim, Amitabha Das, Man-Nang Chong	Estimation of Occlusion and Dense Motion Fields in a Bidirectional Bayesian Framework.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	dense motion field estimation, Markov random field, Occlusion detection
11	Xavier Descombes, Robin D. Morris, Josiane Zerubia, Marc Berthod	Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood.	IEEE Trans. Image Process.	1999	DBLP DOI BibTeX RDF
10	Wenfeng Li, Baoxin Li	Joint Conditional Random Field of multiple views with online learning for image-based rendering.	CVPR	2008	DBLP DOI BibTeX RDF
10	Pushmeet Kohli, Philip H. S. Torr	Dynamic Graph Cuts for Efficient Inference in Markov Random Fields.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	Dynamic graph cuts, st-mincut, Markov Random Fields, Energy Minimization, Video segmentation, Maximum flow
10	Tomás Crivelli, Bruno Cernuschi-Frías, Patrick Bouthemy, Jian-Feng Yao	Mixed-State Markov Random Fields for Motion Texture Modeling and Segmentation.	ICIP	2006	DBLP DOI BibTeX RDF
10	Pushmeet Kohli, Philip H. S. Torr	Effciently Solving Dynamic Markov Random Fields Using Graph Cuts.	ICCV	2005	DBLP DOI BibTeX RDF
10	Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue	Unsupervised Segmentation of Three-Dimensional Brain Images.	ICPR	2000	DBLP DOI BibTeX RDF
10	Qing Lu, Tianzi Jiang	A New Bayesian Approach to Image Denoising with a Combination of MRFs and Pixon Method.	ICPR	2000	DBLP DOI BibTeX RDF
10	Il Y. Kim, Hyun Seung Yang	An Integration Scheme for Image Segmentation and Labeling Based on Markov Random Field Model.	IEEE Trans. Pattern Anal. Mach. Intell.	1996	DBLP DOI BibTeX RDF	Region clustering, optimization, Markov random field, energy function, region labeling