Index for yui

Yui, S. Co Author Listing * fast narrow band method and its application in topology-adaptive 3-D modeling, A

Yuille, A.[Alan] Co Author Listing * Towards unified depth and semantic prediction from a single image

Yuille, A.L.[Alan L.] Co Author Listing * Home Page.
* email: Yuille, A.L.[Alan L.]: yuille AT stat ucla edu
* 3D Symmetry-Curvature Duality Theorems
* 5+/-2 Eigenimages Suffice: An Empirical Investigation of Low-Dimensional Lighting Models
* A* perspective on deterministic optimization for deformable templates, An
* Active Mask Hierarchies for Object Detection
* Active Patch Model for Real World Texture and Appearance Classification, An
* Active Vision
* AdaBoost for Text Detection in Natural Scene
* Adaptive occlusion state estimation for human pose tracking under self-occlusions
* Algorithms from statistical physics for generative models of images
* Approach to Pose-Based Action Recognition, An
* Attention to Scale: Scale-Aware Semantic Image Segmentation
* Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach
* Bas-Relief Ambiguity, The
* bayesian network framework for relational shape matching, A
* Bottom-Up and Top-down Object Detection using Primal Sketch Features and Graphical Models
* Bottom-Up Segmentation for Top-Down Detection
* Boundary Detection Benchmarking: Beyond F-Measures
* Common Framework for Image Segmentation, A
* compositional approach to learning part-based models of objects, A
* Computer vision needs a core and foundations
* Computing importance of 2D contour parts by reconstructability
* Creation of Structure in Dynamic Shape, The
* Data Fusion for Sensory Information Processing Systems
* Deformable Templates for Face Recognition
* Deformable templates for feature extraction from medical images
* Deformable Templates, Robust Statistics, and Hough Transforms
* Depth Recovery Algorithm Using Defocus Information, A
* Describing Surfaces
* Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
* Detecting and reading text in natural scenes
* Detecting Object Boundaries Using Low-, Mid-, and High-level Information
* Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability
* Determining the Optimal Weights in Multiple Objective Function Optimization
* Direct Passive Navigation: Analytical Solution for Quadratic Patches
* DOC: Deep OCclusion Estimation from a Single Image
* Double-Loop Algorithm to Minimize the Bethe and Kikuchi Free Energies, A
* Double-Loop Algorithm to Minimize the Bethe Free Energy, A
* Efficient Deformable Template Detection and Localization without User Initialization
* Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
* Efficient Optimization of a Deformable Template Using Dynamic Programming
* Efficient variational inference in large-scale Bayesian compressed sensing
* Empirical Minimum Bayes Risk Prediction
* Empirical Minimum Bayes Risk Prediction: How to Extract an Extra Few % Performance from Vision Models with Just Three More Parameters
* Error Factor Analysis for Wild Scene Image-Labelling
* Extremum Principle for Shape from Contour, An
* Fast and Simple Algorithm for Producing Candidate Regions, A
* Feature Extraction from Faces Using Deformable Templates
* Fingerprint Theorems for Zero-Crossings
* Fingerprints Theorems
* FORMS: A Flexible Object Recognition and Modelling System
* framework for shape representation and recognition, A
* Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues
* Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking
* G-factors: Relating Distributions on Features to Distributions on Images
* Generalized Deformable Models, Statistical Physics and Matching Problems
* Generalized Ordering Constraint for Stereo Correspondence, A
* Generation and Comprehension of Unambiguous Object Descriptions
* Generative Model Based Approach to Motion Segmentation, A
* generic viewpoint assumption and planar bias, The
* Geometric Neural Phrase Pooling: Modeling the Spatial Co-Occurrence of Neurons
* Graph-shifts: Natural image labeling by dynamic hierarchical computing
* Grouping Iso-Velocity Points for Ego-Motion Recovery
* Guest Editorial: Geometry, Lighting, Motion, and Learning
* Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I
* High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?
* HOP: Hierarchical object parsing
* Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding
* Image Parsing: Unifying Segmentation, Detection, and Recognition
* Image Warping for Shape Recovery and Recognition
* Impossible Shaded Images
* Inference and learning with hierarchical compositional models
* Inference and Learning with Hierarchical Shape Models
* InterActive: Inter-Layer Activeness Propagation
* Joint Object and Part Segmentation Using Deep Learned Potentials
* KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints, The
* KGBR viewpointlighting ambiguity, The
* Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering
* Latent hierarchical structural learning for object detection
* Learning a dictionary of deformable patches using GPUs
* Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
* Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
* Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
* Learning Object Representations from Lighting Variations
* Local, Global, and Multilevel Stereo Matching
* Manhattan World: Compass Direction from a Single Image by Bayesian Inference
* Massively Parallel Implementations of Theories for Apparent Motion
* Mathematical Analysis of the Motion Coherence Theory, A
* Max Margin AND/OR Graph learning for parsing the human body
* Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation
* Mean-Field Phase Transistions and Correlation Functions for Gibbs Random Fields
* Mining 3D Key-Pose-Motifs for Action Recognition
* model for the estimate of local velocity, A
* Modeling deformable gradient compositions for single-image super-resolution
* Modeling Image Patches with a Generic Dictionary of Mini-epitomes
* Motion Coherence Theory, The
* Motion Estimation by Swendsen-Wang Cuts
* MRF Labeling with a Graph-Shifts Algorithm
* Multilevel Enhancement and Detection of Stereo Disparity Surfaces
* Non-Rigid Motion and Regge Calculus
* Non-Rigid Point Set Registration by Preserving Global and Local Structures
* Occlusions and Binocular Stereo
* One Shot Learning via Compositions of Meaningful Patches
* Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?
* Order Parameters for Minimax Entropy Distributions: When does High Level Knowledge Help?
* Parsing occluded people by flexible compositions
* Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency
* Part and appearance sharing: Recursive Compositional Models for multi-view, Multi-Object Detection
* Perspective Projection Invariants
* Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models
* Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns
* Recursive Compositional Models for Vision: Description and Review of Recent Work
* Recursive compositional models: Representation, learning, and inference
* Recursive Segmentation and Recognition Templates for Image Parsing
* Region Competition and its Analysis: A Unified Theory for Image Segmentation
* Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
* Region-based temporally consistent video post-processing
* Regularized Solution to Edge Detection, A
* Relating image warping to 3D geometrical deformations
* Rigidity and Smoothness of Motion
* Robust Estimation of 3D Human Poses from a Single Image
* Robust Estimation of Nonrigid Transformation for Point Set Registration
* Robust Point Matching via Vector Field Consensus
* Robust Region Grouping via Internal Patch Statistics
* Role of Context for Object Detection and Semantic Segmentation in the Wild, The
* Scale invariance without scale selection
* Scale-Space SIFT flow
* Scaling and Fingerprint Theorems for Zero-Crossings
* Scaling Theorems for Zero-Crossings
* Scene-Domain Active Part Models for Object Representation
* Secrets of Salient Object Segmentation, The
* Segmenting by Seeking the Symmetry Axis
* Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
* Semantic part segmentation using compositional model combining shape and appearance
* Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples
* Shape and Albedo from Multiple Images Using Integrability
* Shape from Shading via the Fusion of Specular and Lambertian Image Components
* Shape from Shading, Occlusion and Texture
* Shape Matching and Recognition: Using Generative Models and Informative Features
* Shape matching and registration by data-driven EM
* Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization, A
* Signfinder: Using Color to Detect, Localize and Identify Informational Signs
* Single Image Super-resolution Using Deformable Patches
* Smoothest Velocity Field and Token Matching Schemes, The
* Sources from Shading
* Statistical and Geometrical Approaches to Visual Motion Analysis
* statistical approach to multi-scale edge detection, A
* Statistical Cues for Domain Specific Image Segmentation with Performance Analysis
* Statistical edge detection: learning and evaluating edge cues
* Statistical Morphology and Bayesian Reconstruction
* Stereo and Controlled Movement
* Stereo and Eye Movement
* Stereo integration, mean field theory and psychophysics
* Stereopsis And Eye-Movement
* Structure-perceptron learning of a hierarchical log-linear model
* Surface Shape from Warping
* Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation
* Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model
* Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired, A
* Towards a theory of compositional learning and encoding of objects
* Towards Unified Object Detection and Semantic Segmentation
* Training a general purpose deformable template
* UnrealCV: Connecting Computer Vision to Unreal Engine
* Unsupervised Learning of Object Deformation Models
* Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories
* Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
* Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation
* Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
* Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence
* Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
* Zero Crossings on Lines of Curvature
* Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
Includes: Yuille, A.L.[Alan L.] Yuille, A.L.
173 for Yuille, A.L.

Yuille, A.Y.[Alan Y.] Co Author Listing * Occlusion Boundary Detection Using Pseudo-depth

Index for "y"


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