Alan L. Yuille

According to our database1, Alan L. Yuille authored at least 278 papers between 1983 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2009, "For contributions to computer and biological vision, medical image processing and computational theories of cognition".

Timeline

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Homepage:

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Bibliography

2018
Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis.
IEEE Trans. Circuits Syst. Video Techn., 2018

Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level.
IEEE Trans. Circuits Syst. Video Techn., 2018

A Novel Linelet-Based Representation for Line Segment Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems.
Future Generation Comp. Syst., 2018

Scene Graph Parsing as Dependency Parsing.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Gradually Updated Neural Networks for Large-Scale Image Recognition.
Proceedings of the 35th International Conference on Machine Learning, 2018

PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-scale Spatially-Asymmetric Recalibration for Image Classification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Weakly Supervised Region Proposal Network and Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Co-Training for Semi-Supervised Image Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2018, 2018

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Single-Shot Object Detection With Enriched Semantics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Few-Shot Image Recognition by Predicting Parameters From Activations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Regression Forests for Age Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation.
Proceedings of the British Machine Vision Conference 2018, 2018

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data.
Proceedings of the British Machine Vision Conference 2018, 2018

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation.
Proceedings of the 2018 International Conference on 3D Vision, 2018

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.
IEEE Trans. Image Processing, 2017

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.
IEEE Trans. Image Processing, 2017

Empirical Minimum Bayes Risk Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Editorial- Deep Learning for Computer Vision.
Computer Vision and Image Understanding, 2017

PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Label Distribution Learning Forests.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

NormFace: L2 Hypersphere Embedding for Face Verification.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Object Recognition with and without Objects.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MAT: A Multimodal Attentive Translator for Image Captioning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Regularizing face verification nets for pain intensity regression.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Genetic CNN.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Adversarial Examples for Semantic Segmentation and Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SORT: Second-Order Response Transform for Visual Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Multimodal Interaction for Referring Image Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Joint Multi-person Pose Estimation and Semantic Part Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-context Attention for Human Pose Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses.
Proceedings of the British Machine Vision Conference 2017, 2017

Detecting Semantic Parts on Partially Occluded Objects.
Proceedings of the British Machine Vision Conference 2017, 2017

Multiple Instance Visual-Semantic Embedding.
Proceedings of the British Machine Vision Conference 2017, 2017

Attention Correctness in Neural Image Captioning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Non-Rigid Point Set Registration by Preserving Global and Local Structures.
IEEE Trans. Image Processing, 2016

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Complexity of Representation and Inference in Compositional Models with Part Sharing.
Journal of Machine Learning Research, 2016

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.
Cognitive Science, 2016

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

SURGE: Surface Regularized Geometry Estimation from a Single Image.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Joint Image-Text Representation by Gaussian Visual-Semantic Embedding.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons.
Proceedings of the Computer Vision - ECCV 2016, 2016

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net.
Proceedings of the Computer Vision - ECCV 2016, 2016

DOC: Deep OCclusion Estimation from a Single Image.
Proceedings of the Computer Vision - ECCV 2016, 2016

UnrealCV: Connecting Computer Vision to Unreal Engine.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation.
Proceedings of the Computer Vision - ECCV 2016, 2016

InterActive: Inter-Layer Activeness Propagation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mining 3D Key-Pose-Motifs for Action Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Generation and Comprehension of Unambiguous Object Descriptions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Attention to Scale: Scale-Aware Semantic Image Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Recognizing Actions in 3D Using Action-Snippets and Activated Simplices.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Robust L2E Estimation of Transformation for Non-Rigid Registration.
IEEE Trans. Signal Processing, 2015

Error Factor Analysis for Wild Scene Image-Labelling.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Learning Deep Structured Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Temporally consistent region-based video exposure correction.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

One Shot Learning via Compositions of Meaningful Patches.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint Object and Part Segmentation Using Deep Learned Potentials.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Scene-Domain Active Part Models for Object Representation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Modeling deformable gradient compositions for single-image super-resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Semantic part segmentation using compositional model combining shape and appearance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Towards unified depth and semantic prediction from a single image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Region-based temporally consistent video post-processing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Parsing occluded people by flexible compositions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Computational Model of Jazz Improvisation Inspired by Language.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Robust Point Matching via Vector Field Consensus.
IEEE Trans. Image Processing, 2014

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.
NeuroImage, 2014

Guest Editorial: Geometry, Lighting, Motion, and Learning.
International Journal of Computer Vision, 2014

A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization.
International Journal of Computer Vision, 2014

Scale-Space SIFT flow.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

An Active Patch Model for Real World Texture and Appearance Classification.
Proceedings of the Computer Vision - ECCV 2014, 2014

Towards Unified Object Detection and Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

A Fast and Simple Algorithm for Producing Candidate Regions.
Proceedings of the Computer Vision - ECCV 2014, 2014

Single Image Super-resolution Using Deformable Patches.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Estimation of 3D Human Poses from a Single Image.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Modeling Image Patches with a Generic Dictionary of Mini-epitomes.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Role of Context for Object Detection and Semantic Segmentation in the Wild.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Secrets of Salient Object Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.
Proceedings of the British Machine Vision Conference, 2014

2013
Adaptive occlusion state estimation for human pose tracking under self-occlusions.
Pattern Recognition, 2013

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling.
Proceedings of the IEEE International Conference on Computer Vision, 2013

An Approach to Pose-Based Action Recognition.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Estimation of Nonrigid Transformation for Point Set Registration.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Region Grouping via Internal Patch Statistics.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Boundary Detection Benchmarking: Beyond F-Measures.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bottom-Up Segmentation for Top-Down Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Recursive Segmentation and Recognition Templates for Image Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

A Family of CCCP Algorithms Which Minimize the TRW Free Energy.
New Generation Comput., 2012

Computer vision needs a core and foundations.
Image Vision Comput., 2012

Self-occlusion robust 3D human pose tracking from monocular image sequence.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief.
NeuroImage, 2011

Recursive Compositional Models for Vision: Description and Review of Recent Work.
Journal of Mathematical Imaging and Vision, 2011

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering.
Int. J. Imaging Systems and Technology, 2011

Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation.
International Journal of Computer Vision, 2011

Inference and Learning with Hierarchical Shape Models.
International Journal of Computer Vision, 2011

AdaBoost for Text Detection in Natural Scene.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Towards a theory of compositional learning and encoding of objects.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Learning a dictionary of deformable patches using GPUs.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Efficient variational inference in large-scale Bayesian compressed sensing.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

A compositional approach to learning part-based models of objects.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Computing importance of 2D contour parts by reconstructability.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Nonflat observation model and adaptive depth order estimation for 3D human pose tracking.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Classification of spatially unaligned fMRI scans.
NeuroImage, 2010

Detecting object boundaries using low-, mid-, and high-level information.
Computer Vision and Image Understanding, 2010

A unified model of short-range and long-range motion perception.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Gaussian sampling by local perturbations.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Functional form of motion priors in human motion perception.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Occlusion Boundary Detection Using Pseudo-depth.
Proceedings of the Computer Vision, 2010

Active Mask Hierarchies for Object Detection.
Proceedings of the Computer Vision - ECCV 2010, 2010

Latent hierarchical structural learning for object detection.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Part and appearance sharing: Recursive Compositional Models for multi-view.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Modeling the spacing effect in sequential category learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Compositional noisy-logical learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Recursive compositional models: Representation, learning, and inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Inference and learning with hierarchical compositional models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

HOP: Hierarchical object parsing.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Sobolev gradients and joint variational image segmentation, denoising, and deblurring.
Proceedings of the Computational Imaging VII, 2009

2008
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification.
IEEE Trans. Med. Imaging, 2008

Shape matching and registration by data-driven EM.
Computer Vision and Image Understanding, 2008

Recursive Segmentation and Recognition Templates for 2D Parsing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Model selection and velocity estimation using novel priors for motion patterns.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Hierarchical segmentation of malignant gliomas via integrated contextual filter response.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

MRF Labeling with a Graph-Shifts Algorithm.
Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008

Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion.
Proceedings of the Computer Vision, 2008

Motion Integration Using Competitive Priors.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 13.07., 2008

Structure-perceptron learning of a hierarchical log-linear model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Max Margin AND/OR Graph learning for parsing the human body.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Scale invariance without scale selection.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Graph-shifts: Natural image labeling by dynamic hierarchical computing.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.
IEEE Trans. Med. Imaging, 2007

The Noisy-Logical Distribution and its Application to Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.
Proceedings of the Information Processing in Medical Imaging, 2007

Unsupervised Learning of Object Deformation Models.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Detecting Object Boundaries Using Low-, Mid-, and High-level Information.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Image Parsing: Unifying Segmentation, Detection, and Recognition.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
The DLR Hierarchy of Approximate Inference.
Proceedings of the UAI '05, 2005

A Hierarchical Compositional System for Rapid Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Augmented Rescorla-Wagner and Maximum Likelihood Estimation.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Ideal Observers for Detecting Motion: Correspondence Noise.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004
The Convergence of Contrastive Divergences.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Shape Matching and Recognition - Using Generative Models and Informative Features.
Proceedings of the Computer Vision, 2004

Detecting and Reading Text in Natural Scenes.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Motion Estimation by Swendsen-Wang Cuts.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
The Generic Viewpoint Assumption and Planar Bias.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Statistical Edge Detection: Learning and Evaluating Edge Cues.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

The Concave-Convex Procedure.
Neural Computation, 2003

Manhattan World: Orientation and Outlier Detection by Bayesian Inference.
Neural Computation, 2003

A statistical approach to multi-scale edge detection.
Image Vision Comput., 2003

Algorithms from statistical physics for generative models of images.
Image Vision Comput., 2003

Human and Ideal Observers for Detecting Image Curves.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Image Parsing: Unifying Segmentation, Detection, and Recognition.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

A Bayesian Network Framework for Relational Shape Matching.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

A Generative Model Based Approach to Motion Segmentation.
Proceedings of the Pattern Recognition, 2003

2002
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation.
Neural Computation, 2002

Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking.
Neural Computation, 2002

2001
Introduction by Guest Editors.
International Journal of Computer Vision, 2001

Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
International Journal of Computer Vision, 2001

The Concave-Convex Procedure (CCCP).
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The g Factor: Relating Distributions on Features to Distributions on Images.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints.
ICCV, 2001

A Double-Loop Algorithm to Minimize the Bethe Free Energy.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

2000
An A* perspective on deterministic optimization for deformable templates.
Pattern Recognition, 2000

Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

Probabilistic Motion Estimation Based on Temporal Coherence.
Neural Computation, 2000

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I.
International Journal of Computer Vision, 2000

Efficient Deformable Template Detection and Localization without User Initialization.
Computer Vision and Image Understanding, 2000

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Statistical cues for Domain Specific Image Segmentation with Performance Analysis.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Convergence Properties of the Softassign Quadratic Assignment Algorithm.
Neural Computation, 1999

Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability.
International Journal of Computer Vision, 1999

Shadows, Shading, and Projective Ambiguity.
Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Manhattan World: Compass Direction from a Single Image by Bayesian Inference.
ICCV, 1999

Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Image Warping for Shape Recovery and Recognition.
Computer Vision and Image Understanding, 1998

Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Segmenting by seeking the symmetry axis.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Signfinder: Using Color to Detect, Localize and Identify Informational Signs.
ICCV, 1998

Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence.
ICCV, 1998

Efficient Optimization of a Deformable Template Using Dynamic Programming.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997
Relating Image Warping to 3D Geometrical Deformations.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Shape and albedo from multiple images using integrability.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Surface Shape from Warping.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

The Bas-Relief Ambiguity.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

Dimension reduction, generalized deformable models and the development of ocularity and orientation.
Neural Networks, 1996

A Convergence Proof for the Softassign Quadratic Assignment Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Learning Object Representation form Lighting Variations.
Proceedings of the Object Representation in Computer Vision II, 1996

1995
Robust principal component analysis by self-organizing rules based on statistical physics approach.
IEEE Trans. Neural Networks, 1995

Multilevel Enhancement and Detection of Stereo Disparity Surfaces.
Artif. Intell., 1995

Parameterized Surface Fitting via MAP Estimation for Binocular Stereo.
Proceedings of the 1995 International Conference on Robotics and Automation, 1995

FORMS: A Flexible Object Recognition and Modelling System.
ICCV, 1995

Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation.
ICCV, 1995

Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns.
ICCV, 1995

1994
On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.
Neural Networks, 1994

Spatiotemporal information storage in a content addressable memory using realistic neurons.
Neural Networks, 1994

The invisible hand algorithm: Solving the assignment problem with statistical physics.
Neural Networks, 1994

Statistical Physics, Mixtures of Distributions, and the EM Algorithm.
Neural Computation, 1994

Statistical Physics Algorithms That Converge.
Neural Computation, 1994

A Framework for Shape Representation and Recognition.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Training a General Purpose Deformable Template.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993
Impossible Shaded Images.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Mean-field phase transitions and correlation functions for Gibbs random fields.
Journal of Mathematical Imaging and Vision, 1993

Bayesian Self-Organization.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Multilevel Detection of Stereo Disparity Surfaces.
Proceedings of the Partitioning Data Sets, Proceedings of a DIMACS Workshop, 1993

Local, global, and multilevel stereo matching.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1992
Statistical morphology and Bayesian reconstruction.
Journal of Mathematical Imaging and Vision, 1992

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning.
Int. J. Neural Syst., 1992

Feature extraction from faces using deformable templates.
International Journal of Computer Vision, 1992

Self-Organizing Rules for Robust Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model.
Proceedings of the Computer Vision, 1992

Occlusions and Binocular Stereo.
Proceedings of the Computer Vision, 1992

Grouping Iso-Velocity Points for Ego-Motion Recovery.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
A common framework for image segmentation.
International Journal of Computer Vision, 1991

Sources from shading.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991

1990
Generalized Deformable Models, Statistical Physics, and Matching Problems.
Neural Computation, 1990

Stereo and controlled movement.
International Journal of Computer Vision, 1990

3D symmetry-curvature duality theorems.
Computer Vision, Graphics, and Image Processing, 1990

Stereo Integration, Mean Field Theory and Psychophysics.
Proceedings of the Computer Vision, 1990

Deformable Templates for Feature Extraction from Medical Images.
Proceedings of the Computer Vision, 1990

A Model for the Estimate of Local Velocity.
Proceedings of the Computer Vision, 1990

1989
A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback.
Neural Computation, 1989

An Analysis of the Elastic Net Approach to the Traveling Salesman Problem.
Neural Computation, 1989

A mathematical analysis of the motion coherence theory.
International Journal of Computer Vision, 1989

Zero crossings on lines of curvature.
Computer Vision, Graphics, and Image Processing, 1989

Feature extraction from faces using deformable templates.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989

A depth recovery algorithm using defocus information.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989

1988
Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies.
Neural Networks, 1988

A regularized solution to edge detection.
J. Complexity, 1988

The Motion Coherence Theory.
Proceedings of the Second International Conference on Computer Vision, 1988

The Creation Of Structure In Dynamic Shape.
Proceedings of the Second International Conference on Computer Vision, 1988

Determining The Optimal Weights In Multiple Objective Function Optimization.
Proceedings of the Second International Conference on Computer Vision, 1988

1986
Scaling Theorems for Zero Crossings.
IEEE Trans. Pattern Anal. Mach. Intell., 1986

1985
Describing surfaces.
Computer Vision, Graphics, and Image Processing, 1985

1984
The Smoothest Velocity Field Token Matching Schemes.
ECAI, 1984

Fingerprints Theorems.
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984

1983
An Extremum Principle for Shape From Contour.
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983


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