Image Parsing: Unifying Segmentation, Detection, and Recognition
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Improving discriminative sequential learning with rare--but--important associations
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2D Conditional Random Fields for Web information extraction
ICML '05 Proceedings of the 22nd international conference on Machine learning
A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
International Journal of Computer Vision
Efficient MAP approximation for dense energy functions
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ACM Computing Surveys (CSUR)
SmartLabel: an object labeling tool using iterated harmonic energy minimization
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
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
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
Computer Vision and Image Understanding
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
On the value of pairwise constraints in classification and consistency
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Hidden Conditional Random Fields
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Conditional random fields for activity recognition
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Image and video indexing using networks of operators
Journal on Image and Video Processing
Image and video indexing using networks of operators
Journal on Image and Video Processing
Patch-based image classification through conditional random field model
Proceedings of the 3rd international conference on Mobile multimedia communications
Correlative multilabel video annotation with temporal kernels
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Putting Objects in Perspective
International Journal of Computer Vision
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
ECML '07 Proceedings of the 18th European conference on Machine Learning
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
Proceedings of the 30th DAGM symposium on Pattern Recognition
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Learning to Combine Bottom-Up and Top-Down Segmentation
International Journal of Computer Vision
International Journal of Computer Vision
Learning to segment from a few well-selected training images
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Contextual classification of image patches with latent aspect models
Journal on Image and Video Processing - Special issue on patches in vision
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Transactions on Circuits and Systems for Video Technology
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Relational object maps for mobile robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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
Semi-automatically labeling objects in images
IEEE Transactions on Image Processing
Selecting features of linear-chain conditional random fields via greedy stage-wise algorithms
Pattern Recognition Letters
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
Prostate cancer segmentation with multispectral MRI using cost-sensitive conditional random fields
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Training an active random field for real-time image denoising
IEEE Transactions on Image Processing
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
Journal of Signal Processing Systems
Scene categorization via contextual visual words
Pattern Recognition
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Learning 3D mesh segmentation and labeling
ACM SIGGRAPH 2010 papers
A boosting discriminative model for moving cast shadow detection
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
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
Conditional sequence model for context-based recognition of gaze aversion
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
MRF labeling with a graph-shifts algorithm
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
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
Continuous Conditional Random Fields for Regression in Remote Sensing
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
An extension of the standard mixture model for image segmentation
IEEE Transactions on Neural Networks
Learning conditional random fields for classification of hyperspectral images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Latent mixture of discriminative experts for multimodal prediction modeling
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Object recognition using junctions
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
Multiscale conditional random fields for image labeling
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discriminative fields for modeling semantic concepts in video
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
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
Multi-scale stacked sequential learning
Pattern Recognition
Semantics extraction from images
Knowledge-driven multimedia information extraction and ontology evolution
Recursive Compositional Models for Vision: Description and Review of Recent Work
Journal of Mathematical Imaging and Vision
Conditional graphical models for protein structure prediction
Conditional graphical models for protein structure prediction
3D segmentation in CT imagery with conditional random fields and histograms of oriented gradients
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Regionwise classification of building facade images
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Inferring laser-scan matching uncertainty with conditional random fields
Robotics and Autonomous Systems
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
Support vector random fields for spatial classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
A local basis representation for estimating human pose from cluttered images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Probabilistic modeling for structural change inference
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Located hidden random fields: learning discriminative parts for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Segmentation conditional random fields (SCRFs): a new approach for protein fold recognition
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Figure/Ground assignment in natural images
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Probabilistic cascade random fields for man-made structure detection
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
International Journal of Computational Vision and Robotics
Bilayer segmentation augmented with future evidence
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
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
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
Sonification of images for the visually impaired using a multi-level approach
Proceedings of the 4th Augmented Human International Conference
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Structure-aware shape processing
SIGGRAPH Asia 2013 Courses
Machine Vision and Applications
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In this work we present Discriminative Random Fields(DRFs), a discriminative framework for the classification ofimage regions by incorporating neighborhood interactionsin the labels as well as the observed data. The discriminativerandom fields offer several advantages over the conventionalMarkov Random Field (MRF) framework. First,the DRFs allow to relax the strong assumption of conditionalindependence of the observed data generally used inthe MRF framework for tractability. This assumption is toorestrictive for a large number of applications in vision. Second,the DRFs derive their classification power by exploitingthe probabilistic discriminative models instead of thegenerative models used in the MRF framework. Finally, allthe parameters in the DRF model are estimated simultaneouslyfrom the training data unlike the MRF frameworkwhere likelihood parameters are usually learned separatelyfrom the field parameters. We illustrate the advantages ofthe DRFs over the MRF framework in an application ofman-made structure detection in natural images taken fromthe Corel database.