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Publications


2017


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

Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille | IEEE Trans. Image Processing | 2017 | PDF

NormFace: L2 Hypersphere Embedding for Face Verification

Feng Wang, Xiang Xiang, Jian Cheng, Alan Yuille | ACM Multimedia | 2017 | PDF

Genetic CNN

Lingxi Xie, Alan Yuille | ICCV | 2017 | PDF

Adversarial Examples for Semantic Segmentation and Object Detection

Cihang Xie*, Jianyu Wang*, Zhishuai Zhang*, Yuyin Zhou, Lingxi Xie, Alan Yuille | ICCV | 2017 | PDF

SORT: Second-Order Response Transform for Visual Recognition

Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Alan Yuille | ICCV | 2017 | PDF

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection

Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille | ICCV | 2017 | PDF

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond

Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, Alan Yuille | ICCV | 2017 | PDF

Recurrent Multimodal Interaction for Referring Image Segmentation

Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Alan Yuille | ICCV | 2017 | PDF

Regularizing Face Verification Nets For Pain Intensity Regression

Feng Wang, Xiang Xiang, Chang Liu, Trac D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille | ICIP | 2017 | PDF

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot Fishman, Alan Yuille | MICCAI | 2017 | PDF

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Yuyin Zhou, Lingxi Xie, Elliot Fishman, Alan Yuille | MICCAI | 2017 | PDF

Exploring Protrusion Cues for Fast and Effective Shape Matching via Ellipses

Alex Wong, Brian Taylor, Alan Yuille | BMVC | 2017 | PDF

Detecting Semantic Parts on Partially Occluded Objects

Jianyu Wang*, Cihang Xie*, Zhishuai Zhang*, Jun Zhu, Lingxi Xie, Alan Yuille | BMVC | 2017 | PDF

Multiple Instance Visual-Semantic Embedding

Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan Yuille | BMVC | 2017 | PDF

Object Recognition with and without Objects

Zhuotun Zhu, Lingxi Xie, Alan Yuille | IJCAI | 2017 | PDF

MAT: A Multimodal Attentive Translator for Image Captioning

Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille | IJCAI | 2017 | PDF

Joint Multi-Person Pose Estimation and Semantic Part Segmentation

Fangting Xia, Peng Wang, Xianjie Chen, Alan Yuille | CVPR | 2017 | PDF


Multi-Context Attention for Human Pose Estimation

Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan Yuille | CVPR | 2017 | PDF

A Novel Linelet-based Representation for Line Segment Detection

Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee | PAMI | 2017 | PDF

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

Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan Yuille | PAMI | 2017 | PDF

Transfer of View-manifold Learning to Similarity Perception of Novel Objects

Xingyu Lin, Hao Wang, Zhihao Li, Yimeng Zhang, Alan Yuille, Tai Sing Lee | ICLR | 2017 | PDF

PASCAL Boundaries: A Semantic Boundary Dataset with A Deep Semantic Boundary Detector

Vittal Premachandran, Boyan Bonev, Xiaochen Lian, Alan Yuille | WACV | 2017 | PDF


Attention Correctness in Neural Image Captioning

Chenxi Liu, Junhua Mao, Fei Sha, Alan Yuille | AAAI | 2017 | PDF

2016


Ground-truth Dataset and Baseline Evaluations for Base-detail Separation Algorithms at the Part Level

Xuan Dong*, Boyan Bonev*, Weixin Li, Weichao Qiu, Xianjie Chen, Alan Yuille | IEEE Transactions on Circuits, and Systems for Video Technology | 2016 | PDF

SURGE: Surface Regularized Geometry Estimation from a Single Image

Peng Wang, Xiaohui Shen, Bryan Russell, Scott Cohen, Brian Price, Alan Yuille | NIPS | 2016 | PDF

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

Junhua Mao, Jiajing Xu, Yushi Jing, Alan Yuille | NIPS | 2016 | PDF

UnrealCV: Connecting Computer Vision to Unreal Engine

Weichao Qiu, Alan Yuille | ECCV Workshop VARVAI | 2016 | PDF

Joint Image-Text Representation by Gaussian Visual-Semantic Embedding

Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan Yuille | ACM Multimedia Project | 2016 | PDF

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons

Lingxi Xie, Qi Tian, John Flynn, Jingdong Wang, Alan Yuille | ECCV | 2016 | PDF

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net

Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan Yuille | ECCV | 2016 | PDF

DOC: Deep OCclusion Estimation From a Single Image

Peng Wang, Alan Yuille | ECCV | 2016 | PDF


Empirical Minimum Bayes Risk Prediction

Vittal Premachandran, Daniel Tarlow, Alan Yuille, Dhruv Batra | PAMI | 2016 | PDF

FIPIP: A Novel Fine-grained Parallel Partition Based Intra-frame Prediction on Heterogeneous Many-Core Systems

Wenbin Jiang, Min Long, Laurence T. Yang, Xiaobai Liu, Hai Jin, Alan Yuille, Ye Chi | Future Generation Computer Systems | 2016 | PDF

InterActive: Inter-Layer Activeness Propagation

Lingxi Xie*, Liang Zheng*, Jingdong Wang, Alan Yuille, Qi Tian | CVPR | 2016 | PDF

Mining 3D Key-Pose-Motifs for Action Recognition

Chunyu Wang, Yizhou Wang, Alan Yuille | CVPR | 2016 | PDF

Generation and Comprehension of Unambiguous Object Descriptions

Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, Kevin Murphy | CVPR | 2016 | PDF

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform

Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan Yuille | CVPR | 2016 | PDF

Attention to Scale: Scale-aware Semantic Image Segmentation

Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan Yuille | CVPR | 2016 | PDF

Pose-Guided Human Parsing with Deep-Learned Features

Fangting Xia, Jun Zhu*, Peng Wang*, Alan Yuille | AAAI | 2016 | PDF

Recognizing Actions in 3D using Action-Snippets and Activated Simplices

Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille | AAAI | 2016 | PDF

2015



Joint Object and Part Segmentation using Deep Learned Potentials

Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, Alan Yuille | ICCV | 2015 | PDF

Scene-Domain Active Part Models for Object Representation

Zhou Ren, Chaohui Wang, Alan Yuille | ICCV | 2015 | PDF

Non Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

George Papandreou, Liang-Chieh Chen, Kevin Murphy and Alan Yuille | ICCV | 2015 | PDF

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan Yuille | ICCV | 2015 | PDF


Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding

Roozbeh Mottaghi, Sanja Fidler, Alan Yuille, Raquel Urtasun, Devi Parikh | IEEE TPAMI | 2015 | PDF

Arbib Chapter: Early Vision

Alan Yuille, Daniel Kersten | Book Chapter | 2015 | PDF

Robust L2E Estimation of Transformation for Non-Rigid Registration

Jiayi Ma, Weichao Qiu, Ji Zhao, Yong Ma, Alan L. Yuille, Zhuowen Tu | IEEE TSP | 2015 | PDF

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer

Hongjing Lu, Randall Rojas, Tom Beckers, Alan Yuille | Cognitive Science | 2015 | PDF

Temporally Consistent Region-based Video Exposure Correction

Xuan Dong, Boyan Bonev, Yu Zhu, Alan Yuille | ICME | 2015 | PDF

Learning Deep Structured Models

Liang-Chieh Chen, Alexander Schwing, Alan Yuille, Raquel Urtasun | ICML | 2015 | PDF


Modeling Deformable Gradient Compositions for Single-Image Super-resolution

Yu Zhu, Yanning Zhang, Boyan Bonev, Alan Yuille | CVPR | 2015 | PDF

Towards Unified Depth and Semantic Prediction from a Single Image

Peng Wang, Xiaohui Shen, Zhe Lin, Scott Cohen, Brian Price, Alan Yuille | CVPR | 2015 | PDF


Region-based Temporally Consistent Video Post-processing

Xuan Dong, Boyan Bonev, Yu Zhu, Alan Yuille | CVPR | 2015 | PDF

Parsing Occluded People by Flexible Compositions

Xianjie Chen, Alan Yuille | CVPR | 2015 | PDF

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Junhua Mao, Wei Xu, Yi Yang, JiangWang, Zhiheng Huang, Alan Yuille | ICLR | 2015 | PDF

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan Yuille | ICLR | 2015 | PDF

Error Factor Analysis forWild Scene Image-Labelling

Peng Wang, Alan Yuille | WACV | 2015 | PDF

2014



Explain images with multimodal recurrent neural networks

Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Alan Yuille | Deep Learning and Representation Learning Workshop: NIPS | 2014 | PDF



Towards unified object detection and semantic segmentation

Jian Dong, Qiang Chen, Shuicheng Yan, Alan Yuille | ECCV | 2014 | PDF



Single image super-resolution using deformable patches

Yu Zhu, Yanning Zhang, Alan Yuille | CVPR | 2014 | PDF

Robust estimation of 3d human poses from a single image

Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille, Wen Gao | CVPR | 2014 | PDF

Modeling image patches with a generic dictionary of mini-epitomes

Papandreou, George and Chen, Liang-Chieh and Yuille, Alan L | CVPR | 2014 | PDF

The role of context for object detection and semantic segmentation in the wild

Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan Yuille | CVPR | 2014 | PDF

The secrets of salient object segmentation

Yin Li, Xiaodi Hou, Christof Koch, James M Rehg, Alan Yuille | CVPR | 2014 | PDF

Detect what you can: Detecting and representing objects using holistic models and body parts

Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan Yuille | CVPR | 2014 | PDF

Beat the mturkers: Automatic image labeling from weak 3d supervision

Liang-Chieh Chen, Sanja Fidler, Alan Yuille, Raquel Urtasun | CVPR | 2014 | PDF

Scale-space sift flow

Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, Zhuowen Tu | WACV 2014 | 2014 | PDF

2013


Learning a Dictionary of Shape Epitomes with Applications to Image Labeling

Liang-Chieh Chen, George Papandreou, Alan Yuille | Computer Vision (ICCV), 2013 IEEE International Conference on, 337-344 | 2013 | PDF

Bayesian Inference and Beyond

Daniel Kersten, Alan Yuille | The New Visual Neurosciences John S. Werner and Leo M. Chalupa (Editors) MIT Press. Cambridge MA. 2013 | 2013 | PDF

Complexity of Representation and Inference in Compositional Models with Part Sharing

Alan Yuille, Roozbeh Mottaghi | International Conference on Learning Representations (ICML). 2013 | 2013 | PDF

An Approach to Pose Based Action Recognition

Chunyu Wang, Yizhou Wang, Alan Yuille | Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on | 2013 | PDF

Robust Estimation of Nonrigid Transformation for Point Set Registration

Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, Alan Yuille | Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on | 2013 | PDF

Robust Region Grouping via Internal Patch Statistics

Xiaobai Liu, Liang Lin, Alan Yuille | Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on | 2013 | PDF

Boundary Detection Benchmarking: Beyond F-Measures

Xiaodi Hou, Alan Yuille, Christof Koch | Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on | 2013 | PDF

Bottom-up Segmentation for Top-down Detection

Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun | Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on | 2013 | PDF

2012


Where's the Action? Action as an innate bias for visual learning

Alan Yuille, Heinrich Bulthoffb | PNAS | 2012 | PDF

Computer Vision needs a Core and Foundation

Alan Yuille | Opinion Paper. Image and Vision Computing. | 2012 | PDF

Adaptive Self-Occlusion Reasoning for 3D Human Pose Tracking from Accepted. Monocular Image Sequences

Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee | Pattern Recognition | 2012 | PDF

Probabilistic Models of Vision and Max-Margin Methods

Alan Yuille, Xuming He | Frontiers of Electrical and Electornic Engineering. Vol. 7, Number 1. | 2012 | PDF

Recursive Segmentation and Recognition Templates for Image Parsing

Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille | IEEE Trans. Pattern Anal. Mach. Intell. | 2012 | PDF

A family of CCCP Algorithms with minimize the TRW Free Energy

Yu Nishiyama, Xingyao Ye, Alan Yuille | New Generation Computing | 2012 | PDF

2011


Learning a Dictionary of Deformable patches using GPUs

Xingyao Ye, Alan Yuille | Workshop on GPU's in Computer Vision Applications. ICCV | 2011 | PDF

A compositional approach to learning part-based models for single and multi-view object detection

Roozbeh Mottaghi, Ananth Ranganathan, Alan Yuille | 3dRR-11 workshop. ICCV | 2011 | PDF

Computing Importance of 2D Contour Parts by Reconstructability

Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, Wen Gao | 1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV | 2011 | PDF

Nonflat Observation Model and Adpative Depth Order Estimation for 3D Human Pose Tracking

Nam-Gyu Cho, Alan Yuille, Seong-Whan Lee | First Asian Conference on pattern Recognition | 2011 | PDF

Towards a Theory of Compositional Learning and Encoding of Objects

Alan Yuille | 1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV | 2011 | PDF


Efficient Variational Inference in Large-scale Bayesian Compressed Sensing

George Papandreou, Alan Yuille | 1st IEEE Workshop in Information Theory in Computer Vision and Pattern Recognition. ICCV | 2011 | PDF

Recursive Compositional Models for Vision: Description and Review of Previous work

Long (Leo) Zhu, Yuanhao Chen, Alan Yuille | Journal of Mathematical Imaging and Vision | 2011 | PDF

Belief Propagation, Mean Field, and Bethe Approximations

Alan Yuille | In Advances in Markov Random Fields for Vision and Image Processing. Ed.s A. Blake, P. Kohli, and C. Rother. MIT Press | 2011 | PDF

Adaboost for text Detection in Natural Scences

Jung-Jin Lee, Pyoung-Hean Lee, Christof Koch, Alan Yuille | Proceeding of International Conference on Document Analysis and Recognition. PP 429-434. | 2011 | PDF

Inference and Learning with Hierarchical Compositional Models

Iasonas Kokkinos, Alan Yuille | IJCV | 2011 | PDF

Large Sample Group Independent Component Analysis of Functional Magemtic Resonance Imaging using Anatomical atlas-based reduction and bootstrapped clustering

Ariana Anderson, Jennifer Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, and Mark S. Cohen | International Journal of Imaging Systems and Technology. Special Issue on Brain Mapping and Neuroimaging. 21(2). | 2011 | PDF

Max-Margin AND/OR graph learning for parsing the human body

Long (Leo) Zhu, Yuanhao Chen, Chenxi Lin, Alan Yuille | IJCV | 2011 | PDF

2010


A Unified model of short-range and long-range motion perception

Shuang Wu, Xuming He, Hongjing Lu, Alan Yuille | NIPS | 2010 | PDF

Gaussian Sampling by Local Perturbation

George Papandreou, Alan Yuille | NIPS | 2010 | PDF

Functional form of Motion Priors in Human Motion Perception

Hongjing Lu, Tungyou Lin, Alan L. F. Lee, Luminita Vese, Alan Yuille | NIPS | 2010 | PDF


Detecting Object Boundaries Using Low-, Mid-, and High-Level Information

Songfeng Zheng, Alan Yuille, Zhuowen Tu | Journal of Computer Vision and Image Understanding | 2010 | PDF

Occlusion Boundary Detection using Pseudo-Depth

Xuming He, Alan Yuille | ECCV | 2010 | PDF

Active Mask Hierarchies for Object Detection

Yuanhao Chen, Alan Yuille | ECCV | 2010 | PDF

An Information Theoretic Perspective on Computer Vision

Alan Yuille | Frontiers of Electrical and Electronic Engineering | 2010 | PDF

Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection

Long (Leo) Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille | CVPR | 2010 | PDF

Latent Hierarchical Structural Learning for Object Detection

Long (Leo) Zhu, Yuanhao Chen, Alan Yuille, William Freeman | CVPR | 2010 | PDF

2009


Modeling the spacing effect in sequential category learning

Hongjing Lu, Matthew Weiden, Alan Yuille | NIPS | 2009 | PDF


Classification of Spatially Unaligned fMRI Scans

Ariana Anderson, Ivo Dinov, Jonathan Sherin, Javier Quintana, Alan Yuille, Mark Cohen | NeuroImage | 2009 | PDF

Motion Integration Using Competitive Priors

Shuang Wu, Hongjing Lu, Alan Lee, Alan Yuille | Statistical and Geometrical Approaches to Visual Motion Analysis. Spinger-Verlag Lecture Notes in Computer Science 5604 | 2009 | PDF

Statistical and Geometrical Approaches to Visual Motion Analysis

Daniel Cremers, Bodo Rosenhahn, Alan Yuille, Frank Schmidt | Spinger-Verlag Lecture Notes in Computer Science 5604 | 2009 | PDF

HOP: Hierarchical Object Parsing

Iasonas Kokkinos, Alan Yuille | CVPR | 2009 | PDF

Compositional noisy-logical learning

Alan Yuille, Songfeng Zheng | ICML | 2009 | PDF

Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing

Long (Leo) Zhu, Yuanhao Chen, Alan Yuille | TPAMI | 2009 | PDF

Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories

Long (Leo) Zhu, Yuanhao Chen, Alan Yuille | TPAMI | 2009 | PDF

2008


Recursive Segmentation and Recognition Templates for 2D Parsing

Long (Leo) Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan Yuille | NIPS | 2008 | PDF


Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion

Long (Leo) Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille | NIPS | 2008 | PDF

Bayesian Generic Priors for Causal Learning

Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia Cheng, Keith Holyoak | Psychological Review | 2008 | PDF

Sequential Causal Learning in Humans and Rats

Hongjing Lu, Randall Rojas, Tom Beckers, Alan Yuille | Annual Conference of the Cognitive Science Society | 2008 | PDF

Structure-Perceptron Learning of a Hierarchical Log-Linear Model

Long (Leo) Zhu, Yuanhao Chen, Xingyao Ye, Alan Yuille | CVPR | 2008 | PDF

Max Margin AND/OR Graph Learning for Parsing the Human Body

Long (Leo) Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan Yuille | CVPR | 2008 | PDF

Scale Invariance without Scale Selection

Iasonas Kokkinos, Alan Yuille | CVPR | 2008 | PDF

Graph-Shifts: Natural Image Labeling by Dynamic Hierarchical Computing

Jason Corso, Alan Yuille, Zhuowen Tu | CVPR | 2008 | PDF


Efficient Multilevel Brain Tumor Segmentation with Integrated Bayesian Model Classification

Jason Corso, Eitan Sharon, Shishir Dube, Suzie El-Saden, Usha Sinha, Alan Yuille | IEEE TMI | 2008 | PDF

Technical Introduction: A primer on probabilistic inference

Thomas Griffiths, Alan Yuille | M.Oaksford and N. Chater (Eds.). The probabilistic mind: Prospects for rational models of cognition | 2008 | PDF

MRF Labeling with a Graph-Shifts Algorithm

Jason Corso, Zhuowen Tu, Alan Yuille | International Workshop on Combinatorial Image Analysis | 2008 | PDF

Shape matching and registration by data-driven EM

Zhuowen Tu, Songfeng Zheng, Alan Yuille | CVIU | 2008 | PDF

Hierarchical Segmentation of Malignant Gliomas via Integrated Contextual Filter Response

Shishir Dube, Jason Corso, Alan Yuille, Timothy Cloughesy, Suzie El-Saden, Usha Sinha | Proceedings of the SPIE | 2008 | PDF

2007




Unsupervised Learning of Object Deformation Models

I. Kokkinos, A. Yuille | ICCV | 2007 | PDF



Bayesian models of judgments of causal strength: A comparison

H.J. Lu, A.L Yuille, M. Liljeholm, P.W. Cheng, and K.J. Holyoak | Proceedings of the 29th Annual Conference of the Cognitive Science Society | 2007 | PDF

Segmentation of Sub-Cortical Structures by the Graph-Shifts Algorithm

J. J. Corso, Z. Tu, A. Yuille, A. W. Toga | Proceedings of Information Processing in Medical Imaging | 2007 | PDF


Automated Extraction of the Cortical Sulci Based. on a Supervised Learning Approach

Z. Tu, S.F. Zheng, A.L. Yuille, A.L. Reiss, R.A. Dutton, A.D. Lee, A.M. Galaburda, I. Dinov, P.M. Thompson, A.W. Toga | IEEE Transactions on Medical Imaging Vol. 26. No. 4. pp. 541-552. April 2007. | 2007 | PDF

Efficient Coding of Visual Scenes by Grouping and Segmentation: Theoretical Principles and Biological Evidence In the Bayesian Brain: Probabilistic Approaches to Neural Coding

T.S. Lee, A.L. Yuille | Ed. K. Doya, S. Ishii, A. Pouget, and R.P.N. Rao. MIT Press. pp 145-188. January 2007. | 2007 | PDF

2006



A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci

Songfeng Zheng, Zhuowen Tu, Alan Yuille, Allan Reiss, Rebecca Dutton, Agatha Lee, Albert Galaburda, Paul Thompson, Ivo Dinov, Arthur Toga | MICCAI | 2006 | PDF

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Xiangrong Chen, Alan Yuille, Song Chun Zhu | In Towards Category-Level Object Recognition. Eds. J. Ponce, M. Hebert, C. Schmid, A. Zisserman. Springer LNCS 4170, pp 545-576 | 2006 | PDF


Vision as Bayesian Inference: Analysis by Synthesis?

Alan Yuille, Daniel Kersten | In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 301-308. | 2006 | PDF

The Perceived Motion of A Stereokinetic Stimulus

Bas Rokers, Alan Yuille, Zili Liu | Vision Research, vol. 46, no. 15, pp. 2375-87. | 2006 | PDF

Modeling Causal Learning Using Bayesian Generic Priors on Generative and Preventive Powers

Hongjing Lu, Alan Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak | In Proceedings of the 28th Annual Conference of the Cognitive Science Society | 2006 | PDF

A Primer on Probabilistic Inference

Thomas L. Griffiths, Alan Yuille | In Trends in Cognitive Sciences. Supplement to special issue on Probabilistic Models of Cognition, vol 10, no. 7. | 2006 | PDF

Probabilistic Models of Cognition: Conceptual Foundations

Nick Chater, Joshua Tenenbaum, Alan Yuille | In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 287-291. | 2006 | PDF

Probabilistic models of cognition: Where next?

Nick Chater, Joshua Tenenbaum, Alan Yuille | In Trends in Cognitive Neuroscience, vol. 10, no. 7, pp. 292-293. | 2006 | PDF

Bottom-Up and Top-Down Object Detection using Primal Sketch Features and Graphical Models

Iasonas Kokkinos, Petros Maragon, Alan Yuille | CVPR | 2006 | PDF

2005





The DLR Hierarchy of Approximate Inference

Michal Rosen-Zvi, Michael I. Jordan, Alan Yuille | UAI | 2005 | PDF

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu | IJCV, vol. 63, no. 2, pp. 113-140. | 2005 | PDF

A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired

Xiangrong Chen, Alan Yuille | CVPR Workshop on Computer Vision Applications for the Visually Impaired | 2005 | PDF

2004




Object Perception as Bayesian Inference

Daniel Kersten, Pascal Mamassian, Alan Yuille | Annual Review of Psychology | 2004 | PDF


Motion Estimation by Swendsen-Wang Cuts

Adrian Barbu, Alan Yuille | CVPR | 2004 | PDF


2003


Human and Ideal Observers for Detecting Image Curves

Alan Yuille, Fang Fang, Paul Schrater, Dan Kersten | NIPS | 2003 | PDF

Image Parsing: Segmentation, Detection, and Recognition

Zhuowen Tu, Alex Chen, Alan Yuille, Song-Chun Zhu | ICCV | 2003 | PDF

A Bayesian Network for Relational Shape Matching

Anand Rangarajan, James Coughlan, Alan Yuille | ICCV | 2003 | PDF

A Generative Model Based Approach to Motion Segmentation

Daniel Cremers, Alan Yuille | German Conference on Pattern Recognition (GCPR) | 2003 | PDF

The Generic Viewpoint Assumption and Planar Bias

Alan Yuille, James Coughlan, Scott Konishi | TPAMI | 2003 | PDF

The Concave-Convex Procedure (CCCP)

Alan Yuille, Anand Rangarajan | Neural Computation | 2003 | PDF

Manhattan World

James Coughlan, Alan Yuille | Neural Computation | 2003 | PDF

Bayesian Models of Object Perception

Dan Kersten, Alan Yuille | Current Opinion in Neurobiology | 2003 | PDF

The KGBR Viewpoint-Lighting Ambiguity

Alan Yuille, James Coughlan, Scott Konishi | Journal of the American Optical Society | 2003 | PDF

Statistical Edge Detection: Learning and Evaluating Edge Cues

Scott Konishi, Alan Yuille, James Coughlani, Song-Chun Zhu | TPAMI | 2003 | PDF

A Statistical Approach to Multi-Scale Edge Detection

Scott Konishi, Alan Yuille, James Coughlan | IVC | 2003 | PDF


A Large Deviation Theory Analysis of Bayesian Tree Search

James Coughlan, Alan Yuille | Mathematical Methods in Computer Vision | 2003 | PDF