Alan L. Yuille

发表

Superior perception of circular/radial than translational motion cannot be explained by generic priors

Hongjing Lu, Alan Lap-fai Lee, Alan L. Yuille, 2010 .

Efficient Coding of Visual Scenes by Grouping and Segmentation: Theoretical Predictions and Biological Evidence

Tai Sing Lee, Alan L. Yuille, A. Yuille, 2006 .

Models for the development of the visual cortex

Daniel M. Kammen, Alan L. Yuille, 1989 .

Robust PCA learning rules based on statistical physics approach

Lei Xu, Alan L. Yuille, L. Xu, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Weakly vs. Strongly Coupled Data Fusion: A Classification of Fusional Methods

James J. Clark, Alan L. Yuille, 1990 .

Information Processing Using Energy Function Minimization

James J. Clark, Alan L. Yuille, 1990 .

Introduction: a Bayesian formulation of visual perception

David C. Knill, Daniel Kersten, Alan L. Yuille, 1996 .

STEREOPSIS AND EYE-MOVEMENT.

Davi Geiger, Alan L. Yuille, 1987 .

Shape-from-X: psychophysics and computation

Heinrich H. Buelthoff, Alan L. Yuille, A. Yuille, 1991, Other Conferences.

Stereo matching by energy function minimization

Alan L. Yuille, Michael A. Gennert, Biao Ren, 1991, Other Conferences.

Toward visual primal sketches

Jean Ponce, Haruo Asada, Michael Brady, 1985, Annual Meeting Optical Society of America.

Fusing Binocular and Monocular Depth Cues

James J. Clark, Alan L. Yuille, 1990 .

Statistical and Geometrical Approaches to Visual Motion Analysis, International Dagstuhl Seminar, Dagstuhl Castle, Germany, July 13-18, 2008. Revised Papers

Bodo Rosenhahn, Daniel Cremers, Frank R. Schmidt, 2009, Lecture Notes in Computer Science.

Computational theories of low-level vision

Alan L. Yuille, S. Ullman, S. Ullman, 1990 .

Bayesian Models for Seeing Shapes and Depth

Heinrich H. Bülthoff, Alan L. Yuille, 1990 .

Particle tracking by deformable templates

Alan L. Yuille, C. Peterson, K. Honda, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Bayesian Models of Object Perception - eScholarship

Daniel Kersten, Alan L. Yuille, 2011 .

The Smoothest Velocity Field and Token Matching

Alan L. Yuille, A. Yuille, 1983 .

Shape from shading via the fusion of specular and Lambertian image components

James J. Clark, Alan L. Yuille, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Data Fusion in Shape From Shading Algorithms

James J. Clark, Alan L. Yuille, 1990 .

5/spl plusmn/2 eigenimages suffice: an empirical investigation of low-dimensional lighting models

Russell A. Epstein, Alan L. Yuille, Peter W. Hallinan, 1995, Proceedings of the Workshop on Physics-Based Modeling in Computer Vision.

A computational theory for the perception of coherent visual motion

Norberto M. Grzywacz, Alan L. Yuille, A. Yuille, 1988, Nature.

HOP: Hierarchical object parsing

Iasonas Kokkinos, Alan L. Yuille, 2009, CVPR.

Mean-field phase transitions for Gibbs random fields

Ibrahim M. Elfadel, Alan L. Yuille, 1992, Optics & Photonics.

Belief Propagation , Mean-field , and Bethe approximations

Alan L. Yuille, 2010 .

Winner-take-all mechanisms

Alan L. Yuille, Davi Geiger, Alan L. Yuille, 1998 .

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Yan Wang, Wei Shen, Yuyin Zhou, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Bayesian Sensory Information Processing

James J. Clark, Alan L. Yuille, 1990 .

Data driven Markov Chain Monte Carlo algorithm

Daniel Kersten, Alan L. Yuille, 2006 .

NEURAL IMPLEMENTATION OF BAYESIAN VISION THEORIES BY UNSUPERVISED LEARNING

Stelios M. Smirnakis, Alan L. Yuille, 1995 .

Using viewpoint consistency in active stereo vision

James J. Clark, Alan L. Yuille, Michael J. Weisman, 1992, Other Conferences.

Track finding with deformable templates

Carsten Peterson, Alan L. Yuille, Mattias Ohlsson, 1991 .

A computational theory for the perception of coherent motion: From ideal observer to generic models

Hongjing Lu, Alan L. Yuille, A. Yuille, 2010 .

Statistical morphology

Alan L. Yuille, Davi Geiger, Luc M. Vincent, 1991, Optics & Photonics.

A hierarchical Bayesian model of causal learning in humans and rats

Hongjing Lu, Tom Beckers, Alan L. Yuille, 2008 .

Deformable templates, robust statistics, and Hough transforms

Carsten Peterson, Alan L. Yuille, Ko Honda, 1991, Optics & Photonics.

Temporal Aspects of Data Fusion

James J. Clark, Alan L. Yuille, 1990 .

Mean-field theory for grayscale texture synthesis using Gibbs random fields

Ibrahim M. Elfadel, Alan L. Yuille, A. Yuille, 1991, Optics & Photonics.

Data Fusion Applied to Feature Based Stereo Algorithms

James J. Clark, Alan L. Yuille, 1990 .

Introduction: The Role of Data Fusion in Sensory Systems

James J. Clark, Alan L. Yuille, 1990 .

Constrained optimization and the elastic net

Alan L. Yuille, A. Yuille, 1998 .

Towards a Constraint Based Theory of Sensory Data Fusion

James J. Clark, Alan L. Yuille, 1990 .

Non-Rigid Motion and Regge Calculus.

Alan L. Yuille, Rado Jasinschi, A. Yuille, 1989 .

Data Fusion for Sensory Information Processing Systems

James J. Clark, Alan L. Yuille, A. Yuille, 1990 .