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Publications


2017


Label Distribution Learning Forests

Wei Shen, Kai Zhao, Yilu Guo, Alan Yuille | NIPS | 2017 | PDF

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

Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections

Ehsan Jahangiri, Alan Yuille | ICCV (PeopleCap workshop) | 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 | PDF

Guest Editorial: Geometry, Lighting, Motion, and Learning

Alan Yuille, Jiebo Luo | Int'J. of Computer Vision (IJCV) | 2014 | PDF

Perturb-and-MAP Random Fields: Reducing Random Sampling to Optimization, with Application in Computer Vision.

George Papandreou, Alan Yuille | MIT press volume on "Advanced Structured Prediction". Ed.  S. Nowozin, P. V. Gehler, J. Jancsary, and C. H. Lampert. | 2014

Robust Point Matching via Vector Field Consensus

Jiayi Ma, Ji Zhao, Jinwen Tian, Alan Yuille, Zhuowen Tu | Transactions in Image Processing | 2014 | PDF

Inferential Models of the Visual Cortical Hierarchy

Daniel Kersten, Alan Yuille | Brown The New Cognitive Neurosciences, 5th Edition. Gazzaniga (Ed.) | 2014

A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization. 

Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, Fang Fang, Wen Gao | Int'J. of Computer Vision (IJCV) | 2014 | PDF

Non-negative Matrix Factorization of Multimodal MRI, fMRI, and Phenotypic Data reveals Differential Changes in Default Mode Subnetworks in ADHD

Ariana Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, and Mark S. Cohen | NeuroImage | 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