Lista de obras - Alan Yuille - Dominio Público Uruguay

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

artículo científico publicado en 2015

A Convergence Proof for the Softassign Quadratic Assignment Algorithm ⬇️

A Hierarchical Compositional System for Rapid Object Detection ⬇️

artículo científico publicado en 2006

A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

artículo científico publicado en 2020

A Novel Linelet-based Representation for Line Segment Detection.

artículo científico publicado en 2017

A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations ⬇️

A learning based algorithm for automatic extraction of the cortical sulci

artículo científico publicado en 2006

A unified model of short-range and long-range motion perception ⬇️

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

artículo científico publicado en 2019

Action as an innate bias for visual learning

artículo científico publicado en 2012

AdaBoost for Text Detection in Natural Scene

An Active Patch Model for Real World Texture and Appearance Classification

artículo científico publicado en 2014

Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience

scientific article published on 01 September 2019

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations ⬇️

artículo científico publicado en 2014

Augmented Rescorla-Wagner and Maximum Likelihood Estimation ⬇️

artículo científico publicado en 2006

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

artículo científico publicado en 2019

Automated extraction of the cortical sulci based on a supervised learning approach

artículo científico publicado en 2007

Bayesian Self-Organization ⬇️

artículo científico publicado en 1994

Bayesian generic priors for causal learning

artículo científico publicado en 2008

Bayesian models of object perception ⬇️

artículo científico publicado el 1 de abril de 2003

Boundary Detection Benchmarking: Beyond F-Measures

Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours ⬇️

scholarly article by Alan L. Yuille & James M. Coughlan published 1999 in Advances in Neural Information Processing Systems 11

Current Status of Radiomics and Deep Learning in Liver Imaging

artículo científico publicado en 2021

Deep Learning in Radiology: Now the Real Work Begins

artículo científico publicado en 2017

Deep Regression Forests for Age Estimation

academic article

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support

artículo científico publicado en 2020

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

artículo científico

DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

artículo científico publicado en 2017

Detection and segmentation of pathological structures by the extended graph-shifts algorithm

scientific article published on 01 January 2007

Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls

scientific article published on 05 May 2020

Empirical Minimum Bayes Risk Prediction

artículo científico publicado en 2016

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

artículo científico publicado en 2019

Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization ⬇️

Functional form of motion priors in human motion perception ⬇️

Gaussian sampling by local perturbations ⬇️

artículo científico publicado en 2010

Human and Ideal Observers for Detecting Image Curves ⬇️

artículo científico publicado en 2004

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

artículo científico

Ideal Observers for Detecting Motion: Correspondence Noise ⬇️

artículo científico publicado en 2006

Label Distribution Learning Forests ⬇️

artículo científico publicado en 2017

Large Sample Group Independent Component Analysis of Functional Magnetic Resonance Imaging Using Anatomical Atlas-Based Reduction and Bootstrapped Clustering

artículo científico publicado en 2011

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm ⬇️

artículo científico publicado en 2014

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling

artículo científico publicado en 2013

Learning a hierarchical deformable template for rapid deformable object parsing.

artículo científico publicado en 2010

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation ⬇️

Model selection and velocity estimation using novel priors for motion patterns ⬇️

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

artículo científico publicado en 2014

Modeling the spacing effect in sequential category learning ⬇️

artículo científico publicado en 2009

Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation

artículo científico publicado en 2006

Non-Rigid Point Set Registration by Preserving Global and Local Structures.

artículo científico publicado en 2015

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

artículo científico publicado en 2014

Object perception as Bayesian inference

artículo científico publicado en 2004

Occluded Video Instance Segmentation: A Benchmark

artículo científico publicado en 2022

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

artículo científico publicado en 2018

Pancreatic Cancer Imaging: A New Look at an Old Problem

artículo científico publicado en 2020

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

artículo científico publicado el 10 de noviembre de 2010

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

scientific article published on 01 February 2020

Probabilistic models of cognition: conceptual foundations

artículo científico publicado en 2006

Probabilistic models of cognition: where next?

artículo científico publicado en 2006

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing ⬇️

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

artículo científico publicado en 2019

Recursive Segmentation and Recognition Templates for 2D Parsing ⬇️

Recursive segmentation and recognition templates for image parsing.

artículo científico publicado en 2012

Robust 3D Human Pose Estimation from Single Images or Video Sequences

artículo científico publicado en 2018

Robust point matching via vector field consensus

artículo científico publicado en 2014

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels

scientific article published on 21 September 2020

SURGE: Surface Regularized Geometry Estimation from a Single Image ⬇️

artículo científico publicado en 2016

Segmentation of sub-cortical structures by the graph-shifts algorithm.

artículo científico publicado en 2007

Self-Organizing Rules for Robust Principal Component Analysis ⬇️

artículo científico publicado en 1993

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

artículo científico publicado en 2014

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples. ⬇️

artículo científico publicado en 2017

Shape Matching and Registration by Data-driven EM.

artículo científico publicado en 2008

Single Image Super-resolution using Deformable Patches

artículo científico publicado en 2014

Stereo integration, mean field theory and psychophysics

The Concave-Convex Procedure (CCCP) ⬇️

The Convergence of Contrastive Divergences ⬇️

artículo científico publicado en 2005

The KGBR viewpoint-lighting ambiguity

artículo científico publicado en 2003

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference ⬇️

The Noisy-Logical Distribution and its Application to Causal Inference ⬇️

artículo científico publicado en 2008

The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters ⬇️

artículo científico publicado en 2005

The Secrets of Salient Object Segmentation

article published in 2014

The g Factor: Relating Distributions on Features to Distributions on Images ⬇️

artículo científico publicado en 2002

The perceived motion of a stereokinetic stimulus

artículo científico publicado en 2006

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images ⬇️

artículo científico publicado en 2016

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

artículo científico publicado en 2020

Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing ⬇️

artículo científico publicado en 2007

Unsupervised learning of Probabilistic Grammar-Markov Models for object categories.

artículo científico publicado en 2009

Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation, and recognition using knowledge propagation.

artículo científico publicado en 2009

Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue

artículo científico publicado en 2019

Vision as Bayesian inference: analysis by synthesis?

artículo científico publicado en 2006

When Radiology Report Generation Meets Knowledge Graph

artículo científico publicado en 2020

Lista de obras de Alan Yuille

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

A Convergence Proof for the Softassign Quadratic Assignment Algorithm ⬇️

A Hierarchical Compositional System for Rapid Object Detection ⬇️

A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation

A Novel Linelet-based Representation for Line Segment Detection.

A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations ⬇️

A learning based algorithm for automatic extraction of the cortical sulci

A unified model of short-range and long-range motion perception ⬇️

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Action as an innate bias for visual learning

AdaBoost for Text Detection in Natural Scene

An Active Patch Model for Real World Texture and Appearance Classification

Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations ⬇️

Augmented Rescorla-Wagner and Maximum Likelihood Estimation ⬇️

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation

Automated extraction of the cortical sulci based on a supervised learning approach

Bayesian Self-Organization ⬇️

Bayesian generic priors for causal learning

Bayesian models of object perception ⬇️

Boundary Detection Benchmarking: Beyond F-Measures

Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours ⬇️

Current Status of Radiomics and Deep Learning in Liver Imaging

Deep Learning in Radiology: Now the Real Work Begins

Deep Regression Forests for Age Estimation

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: Potential role in personalized forecasting and decision support

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images

Detection and segmentation of pathological structures by the extended graph-shifts algorithm

Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls

Empirical Minimum Bayes Risk Prediction

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization ⬇️

Functional form of motion priors in human motion perception ⬇️

Gaussian sampling by local perturbations ⬇️

Human and Ideal Observers for Detecting Image Curves ⬇️

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

Ideal Observers for Detecting Motion: Correspondence Noise ⬇️

Label Distribution Learning Forests ⬇️

Large Sample Group Independent Component Analysis of Functional Magnetic Resonance Imaging Using Anatomical Atlas-Based Reduction and Bootstrapped Clustering

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm ⬇️

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling

Learning a hierarchical deformable template for rapid deformable object parsing.

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation ⬇️

Model selection and velocity estimation using novel priors for motion patterns ⬇️

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

Modeling the spacing effect in sequential category learning ⬇️

Multilevel segmentation and integrated bayesian model classification with an application to brain tumor segmentation

Non-Rigid Point Set Registration by Preserving Global and Local Structures.

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

Object perception as Bayesian inference

Occluded Video Instance Segmentation: A Benchmark

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

Pancreatic Cancer Imaging: A New Look at an Old Problem

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

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

Probabilistic models of cognition: conceptual foundations

Probabilistic models of cognition: where next?

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing ⬇️

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

Recursive Segmentation and Recognition Templates for 2D Parsing ⬇️

Recursive segmentation and recognition templates for image parsing.

Robust 3D Human Pose Estimation from Single Images or Video Sequences

Robust point matching via vector field consensus

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels

SURGE: Surface Regularized Geometry Estimation from a Single Image ⬇️

Segmentation of sub-cortical structures by the graph-shifts algorithm.

Self-Organizing Rules for Robust Principal Component Analysis ⬇️

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples. ⬇️

Shape Matching and Registration by Data-driven EM.

Single Image Super-resolution using Deformable Patches

Stereo integration, mean field theory and psychophysics

Stereo integration, mean field theory and psychophysics

The Concave-Convex Procedure (CCCP) ⬇️

The Convergence of Contrastive Divergences ⬇️

The KGBR viewpoint-lighting ambiguity

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference ⬇️

The Noisy-Logical Distribution and its Application to Causal Inference ⬇️