INTERPRETING TERRESTRIAL IMAGES OF URBAN SCENES USING DISCRIMINATIVE RANDOM FIELDS

Keywords

Discriminative model, Artificial intelligence, Markov random field, Pattern recognition (psychology), Computer science

References

• Statistical Analysis of Non-Lattice DataJulian Besag — 1975
• Exact Maximum A Posteriori Estimation for Binary ImagesD. M. Greig, B. T. Porteous, Allan Seheult — 1989
• Multiclass Discriminative Fields for Parts-Based Object DetectionSanjiv Kumar — 2004
• On the Statistical Analysis of Dirty PicturesJulian Besag — 1986
• Dynamic Conditional Random Fields for Jointly Labeling Multiple SequencesAndrew McCallum, Khashayar Rohanimanesh — 2003
• Markov Random Field Modeling in Image AnalysisStan Z. Li — 2001
• Discriminative Random FieldsSanjiv Kumar, Martial Hebert — 2006
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesStuart Geman, Donald Geman — 1984
• Parallel and Deterministic Algorithms from MRFs: Surface ReconstructionDavi Geiger, Federico Girosi — 1991
• Conditional Random Fields for Contextual Human Motion RecognitionCristian Sminchisescu, Atul Kanaujia, Zhiguo Li — 2005
• Efficiency of pseudolikelihood estimation for simple Gaussian fieldsJulian Besag — 1977
• Objects in ContextAndrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos — 2007
• Discriminative Fields for Modeling Spatial Dependencies in Natural ImagesSanjiv Kumar, Martial Hebert — 2003
• What energy functions can be minimized via graph cuts?Vladimir Kolmogorov, Ramin Zabih — 2002
• Hidden Conditional Random FieldsAriadna Quattoni, Sybor Wang, Louis‐Philippe Morency — 2007
• Accelerated training of conditional random fields with stochastic gradient methodsS. V. N. Vishwanathan, Nicol N. Schraudolph, Mark Schmidt — 2006
• Spatial Interaction and the Statistical Analysis of Lattice SystemsJulian Besag — 1974
• Training Products of Experts by Minimizing Contrastive DivergenceGeoffrey E. Hinton — 2002
• Discriminative random fields: a discriminative framework for contextual interaction in classificationSanjiv Kumar, Hebert — 2003
• A hierarchical field framework for unified context-based classificationSanjiv Kumar, Martial Hebert — 2005

Cited by

• Hierarchical Conditional Random Field for Multi-class Image ClassificationMichael Ying Yang, Wolfgang Förstner, Martin Drauschke — 2010
• A Generic Middle Layer for Image UnderstandingKasim Terzić — 2011
• Integrating Context Priors into a Decision Tree Classification SchemeKasim Terzić, Bernd Neumann — 2009
• Detecting blind building façades from highly overlapping wide angle aerial imageryJean-Pascal Burochin, Bruno Vallet, Mathieu Brédif — 2014
• SPATIAL-TEMPORAL CONDITIONAL RANDOM FIELDS CROP CLASSIFICATION FROM TERRASAR-X IMAGESBenson Kipkemboi Kenduiywo, Damian Bargiel, Uwe Soergel — 2015
• FEATURE EVALUATION FOR BUILDING FACADE IMAGES – AN EMPIRICAL STUDYMichael Ying Yang, Wolfgang Förstner, Dengfeng Chai — 2012
• Decision trees for probabilistic top-down and bottom-up integrationKasim Terzić, Bernd Neumann — 2009
• Segment-based building detection with conditional random fieldsJan Dirk Wegne, Uwe Soergel, Bodo Rosenhahn — 2011
• Fusion of high-resolution InSAR data and optical imagery for building detection using Conditional Random FieldsJan Dirk Wegner, Uwe Soergel, Ronny Haensch — 2010
• Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random FieldsJan Dirk Wegner, Ronny Hänsch, Antje Thiele — 2011
• Segment-based buJan Dirk Wegner, Uwe Soerg — 2011
• An Efficient Framework for Pixel-wise Building Segmentation from Aerial ImagesNguyễn Tiến Quang, Nguyễn Thị Thanh Thủy, Dinh Viet Sang — 2015
• Analyse morphologique d'images pour la modélisation d'environnements urbainsJorge Eduardo Hernández Londoño — 2009
• EVALUATION OF TEXTURE ENERGIES FOR CLASSIFICATION OF FACADE IMAGESMartin Drauschke, Helmut Mayer — 2010
• Spatial-temporal Dynamic Conditional Random Fields crop type mapping using radar imagesBenson Kipkemboi Kenduiywo — 2016
• A cognitive method for object detection from aerial imageNaveen Chandra, Ashu Sharma, Jayanta K. Ghosh — 2016
• Urban building detection from optical and insar features exploiting contextJan Dirk Wegner, Ali Özgün Ok, Antje Thiele — 2010
• Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar ImagesBenson Kipkemboi Kenduiywo, Damian Bargiel, Uwe Soergel — 2017
• Semantic segmentation of objects from airborne imageryNguyễn Thị Thanh Thủy, Dinh Viet Sang, Nguyễn Tiến Quang — 2017
• A Cognitive Method for Building Detection from High-Resolution Satellite ImagesNaveen Chandra, Jayanta K. Ghosh — 2017

Related papers

• Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence DataJohn Lafferty, Andrew McCallum, Fernando C. N. Pereira — 2001
• Discriminative random fields: a discriminative framework for contextual interaction in classificationSanjiv Kumar, Hebert — 2003
• Discriminative Random FieldsSanjiv Kumar, Martial Hebert — 2006
• Multi-Class Segmentation with Relative Location PriorStephen Jay Gould, Jim Rodgers, David S. Cohen — 2008
• eTRIMS Image Database for Interpreting Images of Man-Made ScenesFilip Kor, Wolfgang Förstner — 2009
• On the limited memory BFGS method for large scale optimizationDong C. Liu, Jorge Nocedal — 1989
• Accelerated training of conditional random fields with stochastic gradient methodsS. V. N. Vishwanathan, Nicol N. Schraudolph, Mark Schmidt — 2006
• Objects in ContextAndrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos — 2007