International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Combining Belief Networks and Neural Networks for Scene Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training products of experts by minimizing contrastive divergence
Neural Computation
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Hierarchical statistical models for the fusion of multiresolution image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Image Modeling with Position-Encoding Dynamic Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Improving discriminative sequential learning with rare--but--important associations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
International Journal of Computer Vision
Simultaneous record detection and attribute labeling in web data extraction
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Conditional models for contextual human motion recognition
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Segmentation and description of natural outdoor scenes
Image and Vision Computing
Robust model-based scene interpretation by multilayered context information
Computer Vision and Image Understanding
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
The Journal of Machine Learning Research
Dynamic hierarchical Markov random fields and their application to web data extraction
Proceedings of the 24th international conference on Machine learning
Extracting relevant named entities for automated expense reimbursement
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
Learning Probabilistic Models for Contour Completion in Natural Images
International Journal of Computer Vision
Describing Visual Scenes Using Transformed Objects and Parts
International Journal of Computer Vision
Training structural SVMs when exact inference is intractable
Proceedings of the 25th international conference on Machine learning
Putting Objects in Perspective
International Journal of Computer Vision
Multi-Class Segmentation with Relative Location Prior
International Journal of Computer Vision
Geometric Deformable Model Driven by CoCRFs: Application to Optical Coherence Tomography
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
The Journal of Machine Learning Research
Academic conference homepage understanding using constrained hierarchical conditional random fields
Proceedings of the 17th ACM conference on Information and knowledge management
Localizing Objects with Smart Dictionaries
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Learning to Combine Bottom-Up and Top-Down Segmentation
International Journal of Computer Vision
International Journal of Computer Vision
Robust Higher Order Potentials for Enforcing Label Consistency
International Journal of Computer Vision
Figure-ground segmentation using factor graphs
Image and Vision Computing
ConVeS: a context verification framework for object recognition system
Proceedings of the 2009 conference on Information Science, Technology and Applications
Classifying Natural Objects on Outdoor Scenes
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Cue Integration for Urban Area Extraction in Remote Sensing Images
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Unsupervised modeling of objects and their hierarchical contextual interactions
Journal on Image and Video Processing - Special issue on patches in vision
Object Detection by Estimating and Combining High-Level Features
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Image modeling using tree structured conditional random fields
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Depth estimation using monocular and stereo cues
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A social recommendation framework based on multi-scale continuous conditional random fields
Proceedings of the 18th ACM conference on Information and knowledge management
Using visual context and region semantics for high-level concept detection
IEEE Transactions on Multimedia - Special issue on integration of context and content
CoCRF deformable model: a geometric model driven by collaborative conditional random fields
IEEE Transactions on Image Processing
A first glimpse of cryptography's Holy Grail
Communications of the ACM
Using the forest to see the trees: exploiting context for visual object detection and localization
Communications of the ACM
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Scene categorization via contextual visual words
Pattern Recognition
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
Conditional random fields for high-level part correlation analysis in images
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Context based object categorization: A critical survey
Computer Vision and Image Understanding
Object analysis for outdoor environment perception using multiple features
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Labelfaces: parsing facial features by multiclass labeling with an epitome prior
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Large margin cost-sensitive learning of conditional random fields
Pattern Recognition
Detecting object boundaries using low-, mid-, and high-level information
Computer Vision and Image Understanding
Conditional random field for text segmentation from images with complex background
Pattern Recognition Letters
Context-based search for 3D models
ACM SIGGRAPH Asia 2010 papers
Exploiting sequential relationships for familial classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Supervised label transfer for semantic segmentation of street scenes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
On parameter learning in CRF-based approaches to object class image segmentation
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Convolutional learning of spatio-temporal features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Learning to detect roads in high-resolution aerial images
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
A conditional random field model for image parsing
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Learning spatio-temporal dependency of local patches for complex motion segmentation
Computer Vision and Image Understanding
Inference scene labeling by incorporating object detection with explicit shape model
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Deformable probability maps: Probabilistic shape and appearance-based object segmentation
Computer Vision and Image Understanding
Multi-scale stacked sequential learning
Pattern Recognition
Discriminative Models for Multi-Class Object Layout
International Journal of Computer Vision
Recursive Compositional Models for Vision: Description and Review of Recent Work
Journal of Mathematical Imaging and Vision
An Efficient Approach to Semantic Segmentation
International Journal of Computer Vision
Implicit scene context for object segmentation and classification
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Learning and incorporating top-down cues in image segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Learning to combine bottom-up and top-down segmentation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Semi-supervised learning for image annotation based on conditional random fields
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Figure/Ground assignment in natural images
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Single-Histogram class models for image segmentation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
The echo state conditional random field model for sequential data modeling
Expert Systems with Applications: An International Journal
Structured Learning and Prediction in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Understanding web images by object relation network
Proceedings of the 21st international conference on World Wide Web
Object Recognition by Sequential Figure-Ground Ranking
International Journal of Computer Vision
Segmentation-based multi-class semantic object detection
Multimedia Tools and Applications
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
Scale selection for supervised image segmentation
Image and Vision Computing
Online semantic mapping of urban environments
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
On learning higher-order consistency potentials for multi-class pixel labeling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
PATCHMATCHGRAPH: building a graph of dense patch correspondences for label transfer
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Local label descriptor for example based semantic image labeling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Segmentation and classification of objects with implicit scene context
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Relating things and stuff by high-order potential modeling
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
International Journal of Computer Vision
DARWIN: a framework for machine learning and computer vision research and development
The Journal of Machine Learning Research
Object class detection: A survey
ACM Computing Surveys (CSUR)
Computer Vision and Image Understanding
Explicit context-aware kernel map learning for image annotation
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
A bag-of-semantics model for image clustering
The Visual Computer: International Journal of Computer Graphics
Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
International Journal of Computer Vision
Conditional ordinal random fields for structured ordinal-valued label prediction
Data Mining and Knowledge Discovery
Image annotation by modeling Supporting Region Graph
Applied Intelligence
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We propose an approach to include contextual features for labeling images, in which each pixel is assigned to one of a finite set of labels. The features are incorporated into a probabilistic framework which combines the outputs of several components. Components differ in the information they encode. Some focus on the image-label mapping, while others focus solely on patterns within the label field. Components also differ in their scale, as some focus on fineresolution patterns while others on coarser, more global structure. A supervised version of the contrastive divergence algorithm is applied to learn these features from labeled image data. We demonstrate performance on two real-world image databases and compare it to a classifier and a Markov random field.