Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Robust Parameterized Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Stereo Matching Using Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Unsupervised Learning of Models for Recognition
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Finding Deformable Shapes Using Loopy Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Hybrid Propagation in Junction Trees
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Pictorial Structures for Object Recognition
International Journal of Computer Vision
PAMPAS: real-valued graphical models for computer vision
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A general algorithm for approximate inference and its application to hybrid bayes nets
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Variational Maximum A Posteriori by Annealed Mean Field Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monte Carlo-Alternative Probabilistic Simulations for Analog Systems
ISQED '06 Proceedings of the 7th International Symposium on Quality Electronic Design
Sequential mean field variational analysis of structured deformable shapes
Computer Vision and Image Understanding
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Framework for Combining Visual Trackers --- The "Black Boxes" Approach
International Journal of Computer Vision
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking human motion and actions for interactive robots
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
The Journal of Machine Learning Research
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational and stochastic inference for Bayesian source separation
Digital Signal Processing
Spatio-temporal graphical-model-based multiple facial feature tracking
EURASIP Journal on Applied Signal Processing
Learning-based nonparametric image super-resolution
EURASIP Journal on Applied Signal Processing
Event detection using "variable module graphs" for home care applications
EURASIP Journal on Applied Signal Processing
BM3E: Discriminative Density Propagation for Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decentralized probabilistic approach to articulated body tracking
Computer Vision and Image Understanding
Probabilistic relaxation labelling using the Fokker-Planck equation
Pattern Recognition
Active-GNG: model acquisition and tracking in cluttered backgrounds
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Computing Stable Skeletons with Particle Filters
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Continuous dimensionality characterization of image structures
Image and Vision Computing
Learning Generative Models for Multi-Activity Body Pose Estimation
International Journal of Computer Vision
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans
Creating Brain-Like Intelligence
Probabilistic Pose Recovery Using Learned Hierarchical Object Models
Cognitive Vision
Models for patch-based image restoration
Journal on Image and Video Processing - Special issue on patches in vision
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Generalized evidence pre-propagated importance sampling for hybrid Bayesian networks
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Closed-loop learning of visual control policies
Journal of Artificial Intelligence Research
Sequential mean field variational analysis of structured deformable shapes
Computer Vision and Image Understanding
Tracking by parts: a Bayesian approach with component collaboration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Combination of Annealing Particle Filter and Belief Propagation for 3D Upper Body Tracking
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Graphical models over multiple strings
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Tracking complex objects using graphical object models
IWCM'04 Proceedings of the 1st international conference on Complex motion
Probabilistic relaxation labeling by Fokker-Planck diffusion on a graph
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Patch-based pose inference with a mixture of density estimators
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Distributed inference for network localization using radio interferometric ranging
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Message quantization in belief propagation: structural results in the low-rate regime
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Successive sensor nodes localization using non-parametric belief propagation
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Simplifying mixture models through function approximation
IEEE Transactions on Neural Networks
Nonparametric belief propagation
Communications of the ACM
Low power logic for statistical inference
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Compatible particles for part-based tracking
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Computationally efficient sparse Bayesian learning via belief propagation
IEEE Transactions on Signal Processing
Cyclic articulated human motion tracking by sequential ancestral simulation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Classification and Semantic Mapping of Urban Environments
International Journal of Robotics Research
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
SAMT'10 Proceedings of the 5th international conference on Semantic and digital media technologies
Human posture analysis under partial self-occlusion
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Predicting 3d people from 2d pictures
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Bayesian tracking of intracranial pressure signal morphology
Artificial Intelligence in Medicine
Tracking targets via particle based belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Multi-view object tracking using sequential belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Finding deformable shapes by point set matching through nonparametric belief propagation
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
International Journal of Computer Vision
Human pose tracking using multi-level structured models
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Articulated body tracking using dynamic belief propagation
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Unsupervised learning of visual feature hierarchies
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Sequential stratified sampling belief propagation for multiple targets tracking
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Visual hand tracking using nonparametric sequential belief propagation
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A bayesian estimation approach to super-resolution reconstruction for face images
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Tracking dynamic near-regular texture under occlusion and rapid movements
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
Spring lattice counting grids: scene recognition using deformable positional constraints
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Collective inference for network data with copula latent markov networks
Proceedings of the sixth ACM international conference on Web search and data mining
Using Segmented 3D Point Clouds for Accurate Likelihood Approximation in Human Pose Tracking
International Journal of Computer Vision
Image and Vision Computing
Tracking with a mixed continuous-discrete Conditional Random Field
Computer Vision and Image Understanding
Combination of annealing particle filter and belief propagation for 3D upper body tracking
Applied Bionics and Biomechanics - Personal Care Robotics
Hi-index | 0.02 |
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There exist inference algorithms for discrete approximations to these continuous distributions, but for the highdimensional variables typically of interest, discrete inference becomes infeasible. Stochastic methods such as particle filters provide an appealing alternative. However, existing techniques fail to exploit the rich structure of the graphical models describing many vision problems. Drawing on ideas from regularized particle filters and belief propagation (BP), this paper develops a nonparametric belief propagation (NBP) algorithm applicable to general graphs. Each NBP iteration uses an efficient sampling procedure to update kernel-based approximations to the true, continuous likelihoods. The algorithm can accomodate an extremely broad class of potential functions, including nonparametric representations. Thus, NBP extends particle filtering methods to the more general vision problems that graphical models can describe. We apply the NBP algorithm to infer component interrelationships in a partsbased face model, allowing location and reconstruction of occluded features.