Index for yuil

Yuille, A. Standard Author Listing
     with: Bai, S.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Dee...
     with: Bai, X.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side ...
     with: Chen, Q.: UnrealStereo: Controlling Hazardous Factors to Analyze Stere...
     with: Fishman, E.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via...
     with: Girshick, R.: Editorial: Deep Learning for Computer Vision
     with: Guo, Y.: Deep Regression Forests for Age Estimation
     with: Hu, X.: UnrealStereo: Controlling Hazardous Factors to Analyze Stereo ...
     with: Jiang, Y.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Sid...
     with: Jiang, Y.: Multi-stage Multi-recursive-input Fully Convolutional Netwo...
     with: Kokkinos, I.: Editorial: Deep Learning for Computer Vision
     with: Laptev, I.: Editorial: Deep Learning for Computer Vision
     with: Liu, C.: Few-Shot Image Recognition by Predicting Parameters from Acti...
     with: Malik, J.: Editorial: Deep Learning for Computer Vision
     with: Papandreou, G.: Editorial: Deep Learning for Computer Vision
     with: Qiao, S.: Few-Shot Image Recognition by Predicting Parameters from Act...
     with: Qiu, W.: UnrealStereo: Controlling Hazardous Factors to Analyze Stereo...
     with: Shen, W.: Deep Regression Forests for Age Estimation
     with: Shen, W.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
     with: Shen, W.: Few-Shot Image Recognition by Predicting Parameters from Act...
     with: Shen, W.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
     with: Shen, W.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
     with: Tang, P.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
     with: Vedaldi, A.: Editorial: Deep Learning for Computer Vision
     with: Wang, B.: Deep Regression Forests for Age Estimation
     with: Wang, B.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
     with: Wang, X.G.: Editorial: Deep Learning for Computer Vision
     with: Wang, Y.: Deep Regression Forests for Age Estimation
     with: Wang, Y.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
     with: Wang, Y.: Multi-stage Multi-recursive-input Fully Convolutional Networ...
     with: Wang, Y.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
     with: Yan, S.C.: Editorial: Deep Learning for Computer Vision
     with: Zhang, Y.: UnrealStereo: Controlling Hazardous Factors to Analyze Ster...
     with: Zhao, K.: Deep Regression Forests for Age Estimation
     with: Zhao, K.: DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side...
     with: Zhou, Y.: Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via De...
35 for Yuille, A.

Yuille, A.L. Standard Author Listing
     with: Scott Konishi, A.: Statistical Cues for Domain Specific Image Segm...
     with: Anderson, A.: Large sample group independent component analysis of fun...
     with: Asada, H.: Describing Surfaces
     with: Bai, X.: Scale-Space SIFT flow
     with: Barbu, A.: Motion Estimation by Swendsen-Wang Cuts
     with: Barron, J.T.: Semantic Image Segmentation with Task-Specific Edge Dete...
     with: Batra, D.: Empirical Minimum Bayes Risk Prediction
     with: Batra, D.: Empirical Minimum Bayes Risk Prediction: How to Extract an ...
     with: Belhumeur, P.N.: Bas-Relief Ambiguity, The
     with: Belhumeur, P.N.: Determining Generative Models of Objects Under Varyin...
     with: Belhumeur, P.N.: Learning Object Representations from Lighting Variati...
     with: Belhumeur, P.N.: Recovering Object Surfaces from Viewed Changes in Sur...
     with: Bischof, H.: Guest Editorial Introduction to the Special Issue on Larg...
     with: Blake, A.: Active Vision
     with: Bonev, B.: Fast and Simple Algorithm for Producing Candidate Regions, A
     with: Bonev, B.: Modeling deformable gradient compositions for single-image ...
     with: Bonev, B.: PASCAL Boundaries: A Semantic Boundary Dataset with a Deep ...
     with: Bonev, B.: Region-based temporally consistent video post-processing
     with: Bonev, B.I.: Ground-Truth Data Set and Baseline Evaluations for Base-D...
     with: Brady, J.M.: Describing Surfaces
     with: Brady, M.: Extremum Principle for Shape from Contour, An
     with: Bramen, J.: Large sample group independent component analysis of funct...
     with: Brody, A.L.: Large sample group independent component analysis of func...
     with: Bulthoff, H.H.: Stereo integration, mean field theory and psychophysics
     with: Burgi, P.Y.: Visual Motion Estimation and Prediction: A Probabilistic ...
     with: Camburu, O.: Generation and Comprehension of Unambiguous Object Descri...
     with: Cavanaugh, J.: Deformable templates for feature extraction from medica...
     with: Chen, L.C.: Attention to Scale: Scale-Aware Semantic Image Segmentation
     with: Chen, L.C.: DeepLab: Semantic Image Segmentation with Deep Convolution...
     with: Chen, L.C.: Learning a Dictionary of Shape Epitomes with Applications ...
     with: Chen, L.C.: Modeling Image Patches with a Generic Dictionary of Mini-e...
     with: Chen, L.C.: Semantic Image Segmentation with Task-Specific Edge Detect...
     with: Chen, L.C.: Weakly-and Semi-Supervised Learning of a Deep Convolutiona...
     with: Chen, L.C.: Zoom Better to See Clearer: Human and Object Parsing with ...
     with: Chen, Q.A.: Towards Unified Object Detection and Semantic Segmentation
     with: Chen, X.: Joint Multi-person Pose Estimation and Semantic Part Segment...
     with: Chen, X.J.: Detect What You Can: Detecting and Representing Objects Us...
     with: Chen, X.J.: Ground-Truth Data Set and Baseline Evaluations for Base-De...
     with: Chen, X.J.: Parsing occluded people by flexible compositions
     with: Chen, X.J.: Role of Context for Object Detection and Semantic Segmenta...
     with: Chen, X.R.: Detecting and reading text in natural scenes
     with: Chen, X.R.: Image Parsing: Unifying Segmentation, Detection, and Recog...
     with: Chen, X.R.: Time-Efficient Cascade for Real-Time Object Detection: Wit...
     with: Chen, Y.H.: Active Mask Hierarchies for Object Detection
     with: Chen, Y.H.: Latent hierarchical structural learning for object detection
     with: Chen, Y.H.: Learning a Hierarchical Deformable Template for Rapid Defo...
     with: Chen, Y.H.: Max Margin AND/OR Graph learning for parsing the human body
     with: Chen, Y.H.: Max Margin Learning of Hierarchical Configural Deformable ...
     with: Chen, Y.H.: Part and appearance sharing: Recursive Compositional Model...
     with: Chen, Y.H.: Recursive Compositional Models for Vision: Description and...
     with: Chen, Y.H.: Recursive Segmentation and Recognition Templates for Image...
     with: Chen, Y.H.: Structure-perceptron learning of a hierarchical log-linear...
     with: Chen, Y.H.: Unsupervised Learning of Probabilistic Grammar-Markov Mode...
     with: Chen, Y.H.: Unsupervised learning of probabilistic object models (POMs...
     with: Chen, Y.H.: Unsupervised Learning of Probabilistic Object Models (POMs...
     with: Chen, Y.H.: Unsupervised Structure Learning: Hierarchical Recursive Co...
     with: Cheng, J.: Regularizing face verification nets for pain intensity regr...
     with: Cho, A.: Large sample group independent component analysis of function...
     with: Cho, N.G.: Adaptive occlusion state estimation for human pose tracking...
     with: Cho, N.G.: Novel Linelet-Based Representation for Line Segment Detecti...
     with: Cho, N.G.: Role of Context for Object Detection and Semantic Segmentat...
     with: Chu, X.: Multi-context Attention for Human Pose Estimation
     with: Clark, J.J.: Data Fusion for Sensory Information Processing Systems
     with: Clark, J.J.: Depth Recovery Algorithm Using Defocus Information, A
     with: Clark, J.J.: Shape from Shading via the Fusion of Specular and Lambert...
     with: Cohen, D.S.: Feature Extraction from Faces Using Deformable Templates
     with: Cohen, M.S.: Large sample group independent component analysis of func...
     with: Cohen, S.: Joint Object and Part Segmentation Using Deep Learned Poten...
     with: Cohen, S.: Towards unified depth and semantic prediction from a single...
     with: Corso, J.J.: Efficient Multilevel Brain Tumor Segmentation With Integr...
     with: Corso, J.J.: Graph-shifts: Natural image labeling by dynamic hierarchi...
     with: Corso, J.J.: MRF Labeling with a Graph-Shifts Algorithm
     with: Coughlan, J.M.: A* perspective on deterministic optimization for defor...
     with: Coughlan, J.M.: Algorithms from statistical physics for generative mod...
     with: Coughlan, J.M.: bayesian network framework for relational shape matchi...
     with: Coughlan, J.M.: Efficient Deformable Template Detection and Localizati...
     with: Coughlan, J.M.: Efficient Optimization of a Deformable Template Using ...
     with: Coughlan, J.M.: Fundamental Bounds on Edge Detection: An Information T...
     with: Coughlan, J.M.: Fundamental Limits of Bayesian Inference: Order Parame...
     with: Coughlan, J.M.: G-factors: Relating Distributions on Features to Distr...
     with: Coughlan, J.M.: generic viewpoint assumption and planar bias, The
     with: Coughlan, J.M.: High-Level and Generic Models for Visual Search: When ...
     with: Coughlan, J.M.: KGBR Viewpoint-Lighting Ambiguity and its Resolution b...
     with: Coughlan, J.M.: KGBR viewpointlighting ambiguity, The
     with: Coughlan, J.M.: Manhattan World: Compass Direction from a Single Image...
     with: Coughlan, J.M.: Order Parameters for Detecting Target Curves in Images...
     with: Coughlan, J.M.: Order Parameters for Minimax Entropy Distributions: Wh...
     with: Coughlan, J.M.: statistical approach to multi-scale edge detection, A
     with: Coughlan, J.M.: Statistical edge detection: learning and evaluating ed...
     with: Cremers, D.: Generative Model Based Approach to Motion Segmentation, A
     with: Cremers, D.: Statistical and Geometrical Approaches to Visual Motion A...
     with: Culbertson, C.: Large sample group independent component analysis of f...
     with: Dinov, I.D.: Automated Extraction of the Cortical Sulci Based on a Sup...
     with: Dong, J.: Towards Unified Object Detection and Semantic Segmentation
     with: Dong, X.: Ground-Truth Data Set and Baseline Evaluations for Base-Deta...
     with: Dong, X.: Region-based temporally consistent video post-processing
     with: Douglas, P.K.: Large sample group independent component analysis of fu...
     with: Dube, S.: Efficient Multilevel Brain Tumor Segmentation With Integrate...
     with: Dutton, R.A.: Automated Extraction of the Cortical Sulci Based on a Su...
     with: El Saden, S.: Efficient Multilevel Brain Tumor Segmentation With Integ...
     with: Elfadel, I.M.: Mean-Field Phase Transistions and Correlation Functions...
     with: English, C.: Efficient Deformable Template Detection and Localization ...
     with: English, C.: Efficient Optimization of a Deformable Template Using Dyn...
     with: Epstein, R.: 5+/-2 Eigenimages Suffice: An Empirical Investigation of ...
     with: Epstein, R.: Determining Generative Models of Objects Under Varying Il...
     with: Epstein, R.: Learning Object Representations from Lighting Variations
     with: Epstein, R.: Training a general purpose deformable template
     with: Fang, F.: Computing importance of 2D contour parts by reconstructability
     with: Fang, F.: Shape Reconstructability Measure of Object Part Importance w...
     with: Fei Fei, L.: Progressive Neural Architecture Search
     with: Ferraro, M.: Image Warping for Shape Recovery and Recognition
     with: Ferraro, M.: Relating image warping to 3D geometrical deformations
     with: Ferraro, M.: Surface Shape from Warping
     with: Fidler, S.: Bottom-Up Segmentation for Top-Down Detection
     with: Fidler, S.: Detect What You Can: Detecting and Representing Objects Us...
     with: Fidler, S.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
     with: Fidler, S.: Role of Context for Object Detection and Semantic Segmenta...
     with: Fishman, E.: 3D Coarse-to-Fine Framework for Volumetric Medical Image ...
     with: Fishman, E.K.: Recurrent Saliency Transformation Network: Incorporatin...
     with: Flynn, J.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Oc...
     with: Freeman, W.: Latent hierarchical structural learning for object detect...
     with: Freeman, W.T.: Part and appearance sharing: Recursive Compositional Mo...
     with: Galaburda, A.M.: Automated Extraction of the Cortical Sulci Based on a...
     with: Gao, W.: Computing importance of 2D contour parts by reconstructability
     with: Gao, W.: Robust Estimation of 3D Human Poses from a Single Image
     with: Gao, W.: Shape Reconstructability Measure of Object Part Importance wi...
     with: Gao, Y.: Estimation of 3D Category-Specific Object Structure: Symmetry...
     with: Gao, Y.: Exploiting Symmetry and/or Manhattan Properties for 3D Object...
     with: Gao, Y.: Semi-Supervised Sparse Representation Based Classification fo...
     with: Gao, Y.: Symmetric Non-rigid Structure from Motion for Category-Specif...
     with: Geiger, D.: Common Framework for Image Segmentation, A
     with: Geiger, D.: Occlusions and Binocular Stereo
     with: Geiger, D.: Segmenting by Seeking the Symmetry Axis
     with: Geiger, D.: Statistical Morphology and Bayesian Reconstruction
     with: Geiger, D.: Stereo and Controlled Movement
     with: Geiger, D.: Stereo and Eye Movement
     with: Geiger, D.: Stereo integration, mean field theory and psychophysics
     with: Geiger, D.: Stereopsis And Eye-Movement
     with: Gennert, M.A.: Determining the Optimal Weights in Multiple Objective F...
     with: Grzywacz, N.M.: Massively Parallel Implementations of Theories for App...
     with: Grzywacz, N.M.: Mathematical Analysis of the Motion Coherence Theory, A
     with: Grzywacz, N.M.: model for the estimate of local velocity, A
     with: Grzywacz, N.M.: Motion Coherence Theory, The
     with: Grzywacz, N.M.: Visual Motion Estimation and Prediction: A Probabilist...
     with: Guo, G.: Computing importance of 2D contour parts by reconstructability
     with: Guo, G.: Shape Reconstructability Measure of Object Part Importance wi...
     with: Hager, G.D.: Regularizing face verification nets for pain intensity re...
     with: Hager, G.D.: Synthesizing Attributes with Unreal Engine for Fine-grain...
     with: Hallinan, P.W.: 5+/-2 Eigenimages Suffice: An Empirical Investigation ...
     with: Hallinan, P.W.: Feature Extraction from Faces Using Deformable Templates
     with: Honda, K.: Deformable Templates, Robust Statistics, and Hough Transforms
     with: Horn, B.K.P.: Impossible Shaded Images
     with: Hou, X.D.: Boundary Detection Benchmarking: Beyond F-Measures
     with: Hou, X.D.: Secrets of Salient Object Segmentation, The
     with: Hua, W.: Progressive Neural Architecture Search
     with: Huang, H.: Unsupervised Structure Learning: Hierarchical Recursive Com...
     with: Huang, J.: Generation and Comprehension of Unambiguous Object Descript...
     with: Huang, J.: Progressive Neural Architecture Search
     with: Huang, J.Z.: Weakly Supervised Region Proposal Network and Object Dete...
     with: Huang, X.: Deep networks under scene-level supervision for multi-class...
     with: Huang, Z.H.: Learning Like a Child: Fast Novel Visual Concept Learning...
     with: Hwang, T.L.: Depth Recovery Algorithm Using Defocus Information, A
     with: Jahangiri, E.: Generating Multiple Diverse Hypotheses for Human 3D Pos...
     with: Jasinschi, R.: Non-Rigid Motion and Regge Calculus
     with: Jiang, T.T.: Computing importance of 2D contour parts by reconstructab...
     with: Jiang, T.T.: Shape Reconstructability Measure of Object Part Importanc...
     with: Kim, T.S.: Synthesizing Attributes with Unreal Engine for Fine-grained...
     with: Koch, C.: AdaBoost for Text Detection in Natural Scene
     with: Koch, C.: Boundary Detection Benchmarking: Beyond F-Measures
     with: Koch, C.: Secrets of Salient Object Segmentation, The
     with: Kokkinos, I.: Bottom-Up and Top-down Object Detection using Primal Ske...
     with: Kokkinos, I.: DeepLab: Semantic Image Segmentation with Deep Convoluti...
     with: Kokkinos, I.: HOP: Hierarchical object parsing
     with: Kokkinos, I.: Inference and learning with hierarchical compositional m...
     with: Kokkinos, I.: Inference and Learning with Hierarchical Shape Models
     with: Kokkinos, I.: Scale invariance without scale selection
     with: Kokkinos, I.: Unsupervised Learning of Object Deformation Models
     with: Kokkinos, I.: Weakly-and Semi-Supervised Learning of a Deep Convolutio...
     with: Konishi, S.: Fundamental Bounds on Edge Detection: An Information Theo...
     with: Konishi, S.: generic viewpoint assumption and planar bias, The
     with: Konishi, S.: KGBR Viewpoint-Lighting Ambiguity and its Resolution by G...
     with: Konishi, S.: KGBR viewpointlighting ambiguity, The
     with: Konishi, S.: statistical approach to multi-scale edge detection, A
     with: Konishi, S.: Statistical Cues for Domain Specific Image Segmentation w...
     with: Konishi, S.: Statistical edge detection: learning and evaluating edge ...
     with: Kriegman, D.J.: Bas-Relief Ambiguity, The
     with: Ladendorf, B.: Occlusions and Binocular Stereo
     with: Lee, A.D.: Automated Extraction of the Cortical Sulci Based on a Super...
     with: Lee, J.J.: AdaBoost for Text Detection in Natural Scene
     with: Lee, P.H.: AdaBoost for Text Detection in Natural Scene
     with: Lee, S.W.: AdaBoost for Text Detection in Natural Scene
     with: Lee, S.W.: Adaptive occlusion state estimation for human pose tracking...
     with: Lee, S.W.: Novel Linelet-Based Representation for Line Segment Detecti...
     with: Lee, S.W.: Role of Context for Object Detection and Semantic Segmentat...
     with: Lee, T.S.: Region Competition and its Analysis: A Unified Theory for I...
     with: Lee, T.S.: Region Competition: Unifying Snakes, Region Growing, and Ba...
     with: Lee, T.S.: Texture Segmentation by Minimizing Vector-Valued Energy Fun...
     with: Lenartowicz, A.: Large sample group independent component analysis of ...
     with: Leyton, M.: 3D Symmetry-Curvature Duality Theorems
     with: Li, L.J.: Progressive Neural Architecture Search
     with: Li, W.X.: Ground-Truth Data Set and Baseline Evaluations for Base-Deta...
     with: Li, Y.: Secrets of Salient Object Segmentation, The
     with: Li, Y.S.: Deep networks under scene-level supervision for multi-class ...
     with: Lian, X.C.: Parsing Semantic Parts of Cars Using Graphical Models and ...
     with: Lian, X.C.: PASCAL Boundaries: A Semantic Boundary Dataset with a Deep...
     with: Lin, C.X.: Max Margin AND/OR Graph learning for parsing the human body
     with: Lin, C.X.: Max Margin Learning of Hierarchical Configural Deformable T...
     with: Lin, C.X.: Recursive Segmentation and Recognition Templates for Image ...
     with: Lin, C.X.: Unsupervised Structure Learning: Hierarchical Recursive Com...
     with: Lin, L.: Guest Editorial Introduction to the Special Issue on Large Sc...
     with: Lin, L.: Robust Region Grouping via Internal Patch Statistics
     with: Lin, Y.: Recursive Segmentation and Recognition Templates for Image Pa...
     with: Lin, Z.: Joint Object and Part Segmentation Using Deep Learned Potenti...
     with: Lin, Z.: Recurrent Multimodal Interaction for Referring Image Segmenta...
     with: Lin, Z.: Towards unified depth and semantic prediction from a single i...
     with: Lin, Z.C.: Robust Estimation of 3D Human Poses from a Single Image
     with: Lipson, P.R.: Deformable templates for feature extraction from medical...
     with: Liu, C.: Regularizing face verification nets for pain intensity regres...
     with: Liu, C.: ScaleNet: Guiding Object Proposal Generation in Supermarkets ...
     with: Liu, C.X.: Progressive Neural Architecture Search
     with: Liu, C.X.: Recurrent Multimodal Interaction for Referring Image Segmen...
     with: Liu, C.X.: SORT: Second-Order Response Transform for Visual Recognition
     with: Liu, T.L.: Segmenting by Seeking the Symmetry Axis
     with: Liu, W.Y.: Weakly Supervised Region Proposal Network and Object Detect...
     with: Liu, X.B.: Detect What You Can: Detecting and Representing Objects Usi...
     with: Liu, X.B.: Robust Region Grouping via Internal Patch Statistics
     with: Liu, X.B.: Role of Context for Object Detection and Semantic Segmentat...
     with: Lu, J.: Local, Global, and Multilevel Stereo Matching
     with: Lu, W.H.: Parsing Semantic Parts of Cars Using Graphical Models and Se...
     with: Lu, X.: Recurrent Multimodal Interaction for Referring Image Segmentat...
     with: Lu, Y.F.: Max Margin AND/OR Graph learning for parsing the human body
     with: Luo, J.B.: Guest Editorial: Geometry, Lighting, Motion, and Learning
     with: Ma, C.: Multi-context Attention for Human Pose Estimation
     with: Ma, J.: Non-Rigid Point Set Registration by Preserving Global and Loca...
     with: Ma, J.: Robust Estimation of Nonrigid Transformation for Point Set Reg...
     with: Ma, J.: Robust Point Matching via Vector Field Consensus
     with: Ma, J.: Semi-Supervised Sparse Representation Based Classification for...
     with: Mao, J.H.: Active Patch Model for Real World Texture and Appearance Cl...
     with: Mao, J.H.: Generation and Comprehension of Unambiguous Object Descript...
     with: Mao, J.H.: Learning Like a Child: Fast Novel Visual Concept Learning f...
     with: Maragos, P.: Bottom-Up and Top-down Object Detection using Primal Sket...
     with: Mottaghi, R.: Bottom-Up Segmentation for Top-Down Detection
     with: Mottaghi, R.: compositional approach to learning part-based models of ...
     with: Mottaghi, R.: Detect What You Can: Detecting and Representing Objects ...
     with: Mottaghi, R.: Human-Machine CRFs for Identifying Bottlenecks in Scene ...
     with: Mottaghi, R.: Role of Context for Object Detection and Semantic Segmen...
     with: Mumford, D.: Guest Editorial: Statistical and Computational Theories o...
     with: Mumford, D.: Texture Segmentation by Minimizing Vector-Valued Energy F...
     with: Murphy, K.: Generation and Comprehension of Unambiguous Object Descrip...
     with: Murphy, K.: Progressive Neural Architecture Search
     with: Murphy, K.P.: DeepLab: Semantic Image Segmentation with Deep Convoluti...
     with: Murphy, K.P.: Semantic Image Segmentation with Task-Specific Edge Dete...
     with: Murphy, K.P.: Weakly-and Semi-Supervised Learning of a Deep Convolutio...
     with: Negahdaripour, S.: Direct Passive Navigation: Analytical Solution for ...
     with: Neumann, M.: Progressive Neural Architecture Search
     with: Nitzberg, M.: Signfinder: Using Color to Detect, Localize and Identify...
     with: O'Keeffe, D.: Deformable templates for feature extraction from medical...
     with: Ouyang, W.: Multi-context Attention for Human Pose Estimation
     with: Papandreou, G.: DeepLab: Semantic Image Segmentation with Deep Convolu...
     with: Papandreou, G.: Efficient variational inference in large-scale Bayesia...
     with: Papandreou, G.: Learning a Dictionary of Shape Epitomes with Applicati...
     with: Papandreou, G.: Modeling Image Patches with a Generic Dictionary of Mi...
     with: Papandreou, G.: Perturb-and-MAP random fields: Using discrete optimiza...
     with: Papandreou, G.: Semantic Image Segmentation with Task-Specific Edge De...
     with: Papandreou, G.: Weakly-and Semi-Supervised Learning of a Deep Convolut...
     with: Parikh, D.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
     with: Peterson, C.: Deformable Templates, Robust Statistics, and Hough Trans...
     with: Peven, M.: Synthesizing Attributes with Unreal Engine for Fine-grained...
     with: Poggio, T.: Regularized Solution to Edge Detection, A
     with: Poggio, T.A.: Fingerprint Theorems for Zero-Crossings
     with: Poggio, T.A.: Fingerprints Theorems
     with: Poggio, T.A.: Generalized Ordering Constraint for Stereo Correspondenc...
     with: Poggio, T.A.: Scaling and Fingerprint Theorems for Zero-Crossings
     with: Poggio, T.A.: Scaling Theorems for Zero-Crossings
     with: Ponce, J.: Describing Surfaces
     with: Porikli, F.: Guest Editorial Introduction to the Special Issue on Larg...
     with: Premachandran, V.: Empirical Minimum Bayes Risk Prediction
     with: Premachandran, V.: Empirical Minimum Bayes Risk Prediction: How to Ext...
     with: Premachandran, V.: PASCAL Boundaries: A Semantic Boundary Dataset with...
     with: Price, B.L.: Joint Object and Part Segmentation Using Deep Learned Pot...
     with: Price, B.L.: Towards unified depth and semantic prediction from a sing...
     with: Qiao, S.: ScaleNet: Guiding Object Proposal Generation in Supermarkets...
     with: Qiao, S.: Single-Shot Object Detection with Enriched Semantics
     with: Qiao, S.Y.: Deep Co-Training for Semi-Supervised Image Recognition
     with: Qiao, S.Y.: Multi-scale Spatially-Asymmetric Recalibration for Image C...
     with: Qiao, S.Y.: SORT: Second-Order Response Transform for Visual Recognition
     with: Qiu, W.: ScaleNet: Guiding Object Proposal Generation in Supermarkets ...
     with: Qiu, W.C.: Ground-Truth Data Set and Baseline Evaluations for Base-Det...
     with: Qiu, W.C.: Scale-Space SIFT flow
     with: Qiu, W.C.: Synthesizing Attributes with Unreal Engine for Fine-grained...
     with: Qiu, W.C.: UnrealCV: Connecting Computer Vision to Unreal Engine
     with: Quon, H.: Regularizing face verification nets for pain intensity regre...
     with: Ranganathan, A.: compositional approach to learning part-based models ...
     with: Rangarajan, A.: bayesian network framework for relational shape matchi...
     with: Rehg, J.M.: Secrets of Salient Object Segmentation, The
     with: Reiss, A.L.: Automated Extraction of the Cortical Sulci Based on a Sup...
     with: Reiter, A.: Regularizing face verification nets for pain intensity reg...
     with: Ren, Z.: Scene-Domain Active Part Models for Object Representation
     with: Rosenhahn, B.: Statistical and Geometrical Approaches to Visual Motion...
     with: Rosenthal, D.: Deformable templates for feature extraction from medica...
     with: Schmidt, F.R.: Statistical and Geometrical Approaches to Visual Motion...
     with: Sharon, E.: Efficient Multilevel Brain Tumor Segmentation With Integra...
     with: Shen, W.: 3D Coarse-to-Fine Framework for Volumetric Medical Image Seg...
     with: Shen, W.: Deep Co-Training for Semi-Supervised Image Recognition
     with: Shen, W.: ScaleNet: Guiding Object Proposal Generation in Supermarkets...
     with: Shen, W.: Single-Shot Object Detection with Enriched Semantics
     with: Shen, X.: Joint Object and Part Segmentation Using Deep Learned Potent...
     with: Shen, X.H.: Recurrent Multimodal Interaction for Referring Image Segme...
     with: Shen, X.H.: Towards unified depth and semantic prediction from a singl...
     with: Shlens, J.: Progressive Neural Architecture Search
     with: Sinha, U.: Efficient Multilevel Brain Tumor Segmentation With Integrat...
     with: Snow, D.: Determining Generative Models of Objects Under Varying Illum...
     with: Snow, D.: Efficient Deformable Template Detection and Localization wit...
     with: Snow, D.: Efficient Optimization of a Deformable Template Using Dynami...
     with: Snow, D.: Shape and Albedo from Multiple Images Using Integrability
     with: Snow, D.: Signfinder: Using Color to Detect, Localize and Identify Inf...
     with: Szeliski, R.S.: Impossible Shaded Images
     with: Taaffe, J.: Deformable templates for feature extraction from medical i...
     with: Tang, P.: Weakly Supervised Region Proposal Network and Object Detection
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     with: Tarlow, D.: Empirical Minimum Bayes Risk Prediction: How to Extract an...
     with: Thompson, P.M.: Automated Extraction of the Cortical Sulci Based on a ...
     with: Tian, J.W.: Robust Estimation of Nonrigid Transformation for Point Set...
     with: Tian, J.W.: Robust Point Matching via Vector Field Consensus
     with: Tian, Q.: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Occ...
     with: Tian, Q.: InterActive: Inter-Layer Activeness Propagation
     with: Tian, Q.: SORT: Second-Order Response Transform for Visual Recognition
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     with: Torralba, A.B.: Part and appearance sharing: Recursive Compositional M...
     with: Toshev, A.: Generation and Comprehension of Unambiguous Object Descrip...
     with: Tran, T.D.: Regularizing face verification nets for pain intensity reg...
     with: Tu, Z.W.: Automated Extraction of the Cortical Sulci Based on a Superv...
     with: Tu, Z.W.: Detecting Object Boundaries Using Low-, Mid-, and High-level...
     with: Tu, Z.W.: Graph-shifts: Natural image labeling by dynamic hierarchical...
     with: Tu, Z.W.: Image Parsing: Unifying Segmentation, Detection, and Recogni...
     with: Tu, Z.W.: MRF Labeling with a Graph-Shifts Algorithm
     with: Tu, Z.W.: Robust Estimation of Nonrigid Transformation for Point Set R...
     with: Tu, Z.W.: Robust Point Matching via Vector Field Consensus
     with: Tu, Z.W.: Scale-Space SIFT flow
     with: Tu, Z.W.: Shape Matching and Recognition: Using Generative Models and ...
     with: Tu, Z.W.: Shape matching and registration by data-driven EM
     with: Ullman, S.: Rigidity and Smoothness of Motion
     with: Urtasun, R.: Bottom-Up Segmentation for Top-Down Detection
     with: Urtasun, R.: Detect What You Can: Detecting and Representing Objects U...
     with: Urtasun, R.: Human-Machine CRFs for Identifying Bottlenecks in Scene U...
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     with: Wang, J.: Adversarial Examples for Semantic Segmentation and Object De...
     with: Wang, J.: Attention to Scale: Scale-Aware Semantic Image Segmentation
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     with: Wang, P.: DOC: Deep OCclusion Estimation from a Single Image
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     with: Yang, Y.: Sources from Shading
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     with: Ye, X.Y.: Learning a dictionary of deformable patches using GPUs
     with: Ye, X.Y.: Structure-perceptron learning of a hierarchical log-linear m...
     with: Yu, Q.: Recurrent Saliency Transformation Network: Incorporating Multi...
     with: Zhang, H.J.: Unsupervised learning of probabilistic object models (POM...
     with: Zhang, H.J.: Unsupervised Learning of Probabilistic Object Models (POM...
     with: Zhang, L.: Guest Editorial Introduction to the Special Issue on Large ...
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     with: Zhang, W.J.: SORT: Second-Order Response Transform for Visual Recognit...
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     with: Zhang, Y.: SORT: Second-Order Response Transform for Visual Recognition
     with: Zhang, Y.J.: Deep networks under scene-level supervision for multi-cla...
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     with: Zhang, Y.N.: Single Image Super-resolution Using Deformable Patches
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     with: Zhang, Z.: Deep Co-Training for Semi-Supervised Image Recognition
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     with: Zhang, Z.: Single-Shot Object Detection with Enriched Semantics
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     with: Zhao, J.: Robust Estimation of Nonrigid Transformation for Point Set R...
     with: Zhao, J.: Robust Point Matching via Vector Field Consensus
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     with: Zheng, S.F.: Detecting Object Boundaries Using Low-, Mid-, and High-le...
     with: Zheng, S.F.: Shape matching and registration by data-driven EM
     with: Zhou, Y.: Adversarial Examples for Semantic Segmentation and Object De...
     with: Zhou, Y.: Recurrent Saliency Transformation Network: Incorporating Mul...
     with: Zhu, J.: Active Patch Model for Real World Texture and Appearance Clas...
     with: Zhu, L.: Recursive compositional models: Representation, learning, and...
     with: Zhu, L.L.: Active Mask Hierarchies for Object Detection
     with: Zhu, L.L.: Latent hierarchical structural learning for object detection
     with: Zhu, L.L.: Learning a Hierarchical Deformable Template for Rapid Defor...
     with: Zhu, L.L.: Max Margin AND/OR Graph learning for parsing the human body
     with: Zhu, L.L.: Max Margin Learning of Hierarchical Configural Deformable T...
     with: Zhu, L.L.: Part and appearance sharing: Recursive Compositional Models...
     with: Zhu, L.L.: Recursive Compositional Models for Vision: Description and ...
     with: Zhu, L.L.: Recursive Segmentation and Recognition Templates for Image ...
     with: Zhu, L.L.: Structure-perceptron learning of a hierarchical log-linear ...
     with: Zhu, L.L.: Unsupervised Learning of Probabilistic Grammar-Markov Model...
     with: Zhu, L.L.: Unsupervised learning of probabilistic object models (POMs)...
     with: Zhu, L.L.: Unsupervised Learning of Probabilistic Object Models (POMs)...
     with: Zhu, L.L.: Unsupervised Structure Learning: Hierarchical Recursive Com...
     with: Zhu, S.C.: FORMS: A Flexible Object Recognition and Modelling System
     with: Zhu, S.C.: framework for shape representation and recognition, A
     with: Zhu, S.C.: Fundamental Bounds on Edge Detection: An Information Theore...
     with: Zhu, S.C.: Guest Editorial: Statistical and Computational Theories of ...
     with: Zhu, S.C.: Image Parsing: Unifying Segmentation, Detection, and Recogn...
     with: Zhu, S.C.: Order Parameters for Detecting Target Curves in Images: Whe...
     with: Zhu, S.C.: Order Parameters for Minimax Entropy Distributions: When do...
     with: Zhu, S.C.: Region Competition and its Analysis: A Unified Theory for I...
     with: Zhu, S.C.: Region Competition: Unifying Snakes, Region Growing, and Ba...
     with: Zhu, S.C.: Statistical edge detection: learning and evaluating edge cues
     with: Zhu, Y.: Modeling deformable gradient compositions for single-image su...
     with: Zhu, Y.: Region-based temporally consistent video post-processing
     with: Zhu, Y.: Single Image Super-resolution Using Deformable Patches
     with: Zhu, Z.: 3D Coarse-to-Fine Framework for Volumetric Medical Image Segm...
     with: Zoph, B.: Progressive Neural Architecture Search
     with: Zuo, W.: Guest Editorial Introduction to the Special Issue on Large Sc...
498 for Yuille, A.L.

Yuille, A.Y. Standard Author Listing
     with: He, X.M.: Occlusion Boundary Detection Using Pseudo-depth

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