2008 | ||
---|---|---|
118 | EE | Jason J. Corso, Alan L. Yuille, Zhuowen Tu: Graph-shifts: Natural image labeling by dynamic hierarchical computing. CVPR 2008 |
117 | EE | Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan L. Yuille: Max Margin AND/OR Graph learning for parsing the human body. CVPR 2008 |
116 | EE | Iasonas Kokkinos, Alan L. Yuille: Scale invariance without scale selection. CVPR 2008 |
115 | EE | Long Zhu, Yuanhao Chen, Xingyao Ye, Alan L. Yuille: Structure-perceptron learning of a hierarchical log-linear model. CVPR 2008 |
114 | EE | Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang Zhang: Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition. CVPR 2008 |
113 | EE | Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan L. Yuille: Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. ECCV (2) 2008: 759-773 |
112 | EE | Jason J. Corso, Zhuowen Tu, Alan L. Yuille: MRF Labeling with a Graph-Shifts Algorithm. IWCIA 2008: 172-184 |
111 | EE | Shuang Wu, Hongjing Lu, Alan L. Yuille: Model selection and velocity estimation using novel priors for motion patterns. NIPS 2008: 1793-1800 |
110 | EE | Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan L. Yuille: Recursive Segmentation and Recognition Templates for 2D Parsing. NIPS 2008: 1985-1992 |
109 | EE | Zhuowen Tu, Songfeng Zheng, Alan L. Yuille: Shape matching and registration by data-driven EM. Computer Vision and Image Understanding 109(3): 290-304 (2008) |
108 | EE | Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Saden, Usha Sinha, Alan L. Yuille: Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification. IEEE Trans. Med. Imaging 27(5): 629-640 (2008) |
2007 | ||
107 | Alan L. Yuille, Song Chun Zhu, Daniel Cremers, Yongtian Wang: Energy Minimization Methods in Computer Vision and Pattern Recognition, 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007, Proceedings Springer 2007 | |
106 | EE | Songfeng Zheng, Zhuowen Tu, Alan L. Yuille: Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007 |
105 | EE | Iasonas Kokkinos, Alan L. Yuille: Unsupervised Learning of Object Deformation Models. ICCV 2007: 1-8 |
104 | EE | Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga: Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. IPMI 2007: 183-197 |
103 | EE | Jason J. Corso, Alan L. Yuille, Nancy L. Sicotte, Arthur W. Toga: Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. MICCAI (1) 2007: 985-993 |
102 | EE | Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille, HongJiang Zhang: Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. NIPS 2007 |
101 | EE | Alan L. Yuille, Hongjing Lu: The Noisy-Logical Distribution and its Application to Causal Inference. NIPS 2007 |
100 | EE | Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Med. Imaging 26(4): 541-552 (2007) |
2006 | ||
99 | EE | Iasonas Kokkinos, Petros Maragos, Alan L. Yuille: Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. CVPR (2) 2006: 1893-1900 |
98 | EE | Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga: A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703 |
97 | EE | Jason J. Corso, Eitan Sharon, Alan L. Yuille: Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. MICCAI (2) 2006: 790-798 |
96 | EE | Long Zhu, Yuanhao Chen, Alan L. Yuille: Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. NIPS 2006: 1617-1624 |
95 | EE | Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576 |
2005 | ||
94 | Anand Rangarajan, Baba C. Vemuri, Alan L. Yuille: Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings Springer 2005 | |
93 | EE | Long Zhu, Alan L. Yuille: A Hierarchical Compositional System for Rapid Object Detection. NIPS 2005 |
92 | EE | Alan L. Yuille: Augmented Rescorla-Wagner and Maximum Likelihood Estimation. NIPS 2005 |
91 | EE | Hongjing Lu, Alan L. Yuille: Ideal Observers for Detecting Motion: Correspondence Noise. NIPS 2005 |
90 | EE | Michal Rosen-Zvi, Michael I. Jordan, Alan L. Yuille: The DLR Hierarchy of Approximate Inference. UAI 2005: 493-500 |
89 | EE | Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. International Journal of Computer Vision 63(2): 113-140 (2005) |
2004 | ||
88 | EE | Adrian Barbu, Alan L. Yuille: Motion Estimation by Swendsen-Wang Cuts. CVPR (1) 2004: 754-761 |
87 | EE | Xiangrong Chen, Alan L. Yuille: Detecting and Reading Text in Natural Scenes. CVPR (2) 2004: 366-373 |
86 | EE | Zhuowen Tu, Alan L. Yuille: Shape Matching and Recognition - Using Generative Models and Informative Features. ECCV (3) 2004: 195-209 |
85 | EE | Alan L. Yuille: The Convergence of Contrastive Divergences. NIPS 2004 |
84 | EE | Alan L. Yuille: The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters. NIPS 2004 |
2003 | ||
83 | EE | Daniel Cremers, Alan L. Yuille: A Generative Model Based Approach to Motion Segmentation. DAGM-Symposium 2003: 313-320 |
82 | EE | Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25 |
81 | EE | Anand Rangarajan, James M. Coughlan, Alan L. Yuille: A Bayesian Network Framework for Relational Shape Matching. ICCV 2003: 671-678 |
80 | EE | Alan L. Yuille, Fang Fang, Paul R. Schrater, Daniel Kersten: Human and Ideal Observers for Detecting Image Curves. NIPS 2003 |
79 | EE | Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu: Statistical Edge Detection: Learning and Evaluating Edge Cues. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 57-74 (2003) |
78 | EE | Alan L. Yuille, James M. Coughlan, Scott Konishi: The Generic Viewpoint Assumption and Planar Bias. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 775-778 (2003) |
77 | EE | James M. Coughlan, Alan L. Yuille: Algorithms from statistical physics for generative models of images. Image Vision Comput. 21(1): 29-36 (2003) |
76 | EE | Scott Konishi, Alan L. Yuille, James M. Coughlan: A statistical approach to multi-scale edge detection. Image Vision Comput. 21(1): 37-48 (2003) |
75 | EE | Alan L. Yuille, Anand Rangarajan: The Concave-Convex Procedure. Neural Computation 15(4): 915-936 (2003) |
74 | EE | James M. Coughlan, Alan L. Yuille: Manhattan World: Orientation and Outlier Detection by Bayesian Inference. Neural Computation 15(5): 1063-1088 (2003) |
2002 | ||
73 | EE | Alan L. Yuille: CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. Neural Computation 14(7): 1691-1722 (2002) |
72 | EE | James M. Coughlan, Alan L. Yuille: Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. Neural Computation 14(8): 1929-1958 (2002) |
2001 | ||
71 | EE | Alan L. Yuille: A Double-Loop Algorithm to Minimize the Bethe Free Energy. EMMCVPR 2001: 3-18 |
70 | Alan L. Yuille, James M. Coughlan, Scott Konishi: The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. ICCV 2001: 376-382 | |
69 | EE | Alan L. Yuille, Anand Rangarajan: The Concave-Convex Procedure (CCCP). NIPS 2001: 1033-1040 |
68 | EE | James M. Coughlan, Alan L. Yuille: The g Factor: Relating Distributions on Features to Distributions on Images. NIPS 2001: 1231-1238 |
67 | EE | Anand Rangarajan, Alan L. Yuille: MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. NIPS 2001: 873-880 |
66 | Alan L. Yuille, Song Chun Zhu, David Mumford: Introduction by Guest Editors. International Journal of Computer Vision 41(1/2): 7 (2001) | |
65 | Alan L. Yuille, James M. Coughlan, Ying Nian Wu, Song Chun Zhu: Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? International Journal of Computer Vision 41(1/2): 9-33 (2001) | |
2000 | ||
64 | EE | Scott Konishi, Alan L. Yuille: Statistical cues for Domain Specific Image Segmentation with Performance Analysis. CVPR 2000: 1125-1132 |
63 | EE | Alan L. Yuille, James M. Coughlan, Song Chun Zhu, Ying Nian Wu: Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? CVPR 2000: 1558-1565 |
62 | James M. Coughlan, Alan L. Yuille: The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference. NIPS 2000: 845-851 | |
61 | EE | James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow: Efficient Deformable Template Detection and Localization without User Initialization. Computer Vision and Image Understanding 78(3): 303-319 (2000) |
60 | EE | Alan L. Yuille, James M. Coughlan: Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 160-173 (2000) |
59 | Song Chun Zhu, Alan L. Yuille, David Mumford: Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. International Journal of Computer Vision 40(1): 5-6 (2000) | |
58 | Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz: Probabilistic Motion Estimation Based on Temporal Coherence. Neural Computation 12(8): 1839-1867 (2000) | |
57 | EE | Alan L. Yuille, James M. Coughlan: An A* perspective on deterministic optimization for deformable templates. Pattern Recognition 33(4): 603-616 (2000) |
1999 | ||
56 | EE | Scott Konishi, Alan L. Yuille, James M. Coughlan, Song Chun Zhu: Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. CVPR 1999: 1573-1579 |
55 | EE | Alan L. Yuille, James M. Coughlan: High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help? CVPR 1999: 2631- |
54 | James M. Coughlan, Alan L. Yuille: Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking. EMMCVPR 1999: 189-204 | |
53 | EE | James M. Coughlan, Alan L. Yuille: Manhattan World: Compass Direction from a Single Image by Bayesian Inference. ICCV 1999: 941-947 |
52 | EE | Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: Shadows, Shading, and Projective Ambiguity. Shape, Contour and Grouping in Computer Vision 1999: 132-154 |
51 | EE | Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: The Bas-Relief Ambiguity. International Journal of Computer Vision 35(1): 33-44 (1999) |
50 | EE | Alan L. Yuille, Daniel Snow, Russell Epstein, Peter N. Belhumeur: Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. International Journal of Computer Vision 35(3): 203-222 (1999) |
49 | Anand Rangarajan, Alan L. Yuille, Eric Mjolsness: Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Computation 11(6): 1455-1474 (1999) | |
1998 | ||
48 | EE | James M. Coughlan, Alan L. Yuille, Camper English, Daniel Snow: Efficient Optimization of a Deformable Template Using Dynamic Programming. CVPR 1998: 747-752 |
47 | Alan L. Yuille, Daniel Snow, Mark Nitzberg: Signfinder: Using Color to Detect, Localize and Identify Informational Signs. ICCV 1998: 628-633 | |
46 | Alan L. Yuille, Pierre-Yves Burgi, Norberto M. Grzywacz: Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence. ICCV 1998: 973-978 | |
45 | EE | Alan L. Yuille, James M. Coughlan: Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. NIPS 1998: 641-647 |
44 | EE | James M. Coughlan, Alan L. Yuille: A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations. NIPS 1998: 761-767 |
43 | EE | Alan L. Yuille, Mario Ferraro, Tony Zhang: Image Warping for Shape Recovery and Recognition. Computer Vision and Image Understanding 72(3): 351-359 (1998) |
1997 | ||
42 | EE | Peter N. Belhumeur, David J. Kriegman, Alan L. Yuille: The Bas-Relief Ambiguity. CVPR 1997: 1060-1066 |
41 | EE | Alan L. Yuille, Daniel Snow: Shape and albedo from multiple images using integrability. CVPR 1997: 158-164 |
40 | EE | Alan L. Yuille, Mario Ferraro, Tony Zhang: Surface Shape from Warping. CVPR 1997: 846-851 |
39 | Alan L. Yuille, James M. Coughlan: Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies. EMMCVPR 1997: 197-212 | |
38 | Alan L. Yuille, Mario Ferraro, Tony Zhang: Relating Image Warping to 3D Geometrical Deformations. ICIAP (1) 1997: 361-368 | |
1996 | ||
37 | EE | Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness: A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS 1996: 620-626 |
36 | Russell Epstein, Alan L. Yuille, Peter N. Belhumeur: Learning Object Representation form Lighting Variations. Object Representation in Computer Vision 1996: 179-199 | |
35 | EE | Song Chun Zhu, Alan L. Yuille: Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 18(9): 884-900 (1996) |
34 | EE | Song Chun Zhu, Alan L. Yuille: FORMS: A flexible object recognition and modelling system. International Journal of Computer Vision 20(3): 187-212 (1996) |
33 | EE | Alan L. Yuille, James A. Kolodny, C. W. Lee: Dimension reduction, generalized deformable models and the development of ocularity and orientation. Neural Networks 9(2): 309-319 (1996) |
1995 | ||
32 | EE | Song Chun Zhu, Tai Sing Lee, Alan L. Yuille: Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. ICCV 1995: 416- |
31 | EE | Song Chun Zhu, Alan L. Yuille: FORMS: A Flexible Object Recognition and Modelling System. ICCV 1995: 465-472 |
30 | EE | Peter N. Belhumeur, Alan L. Yuille: Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns. ICCV 1995: 876-881 |
29 | Michael J. Weisman, Alan L. Yuille, James J. Clark: Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. ICRA 1995: 2049-2053 | |
28 | EE | Yibing Yang, Alan L. Yuille: Multilevel Enhancement and Detection of Stereo Disparity Surfaces. Artif. Intell. 78(1-2): 121-145 (1995) |
27 | EE | Davi Geiger, Bruce Ladendorf, Alan L. Yuille: Occlusions and binocular stereo. International Journal of Computer Vision 14(3): 211-226 (1995) |
1994 | ||
26 | Russell Epstein, Alan L. Yuille: Training a General Purpose Deformable Template. ICIP (1) 1994: 203-207 | |
25 | Song Chun Zhu, Alan L. Yuille: A Framework for Shape Representation and Recognition. ICIP (1) 1994: 671-675 | |
24 | EE | Masakazu Matsugu, Alan L. Yuille: Spatiotemporal information storage in a content addressable memory using realistic neurons. Neural Networks 7(3): 419-439 (1994) |
23 | EE | J. J. Kosowsky, Alan L. Yuille: The invisible hand algorithm: Solving the assignment problem with statistical physics. Neural Networks 7(3): 477-490 (1994) |
22 | EE | Lei Xu, Adam Krzyzak, Alan L. Yuille: On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. Neural Networks 7(4): 609-628 (1994) |
1993 | ||
21 | EE | Alan L. Yuille, Stelios M. Smirnakis, Lei Xu: Bayesian Self-Organization. NIPS 1993: 1001-1008 |
20 | EE | Berthold K. P. Horn, Richard Szeliski, Alan L. Yuille: Impossible Shaded Images. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 166-170 (1993) |
1992 | ||
19 | Yibing Yang, Alan L. Yuille: Grouping Iso-Velocity Points for Ego-Motion Recovery. AAAI 1992: 356-361 | |
18 | Tai Sing Lee, David Mumford, Alan L. Yuille: Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. ECCV 1992: 165-173 | |
17 | Davi Geiger, Bruce Ladendorf, Alan L. Yuille: Occlusions and Binocular Stereo. ECCV 1992: 425-433 | |
16 | EE | Lei Xu, Alan L. Yuille: Self-Organizing Rules for Robust Principal Component Analysis. NIPS 1992: 467-474 |
15 | EE | Lei Xu, Stan Klasa, Alan L. Yuille: Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. Int. J. Neural Syst. 3(3): 253-290 (1992) |
14 | EE | Alan L. Yuille, Peter W. Hallinan, David S. Cohen: Feature extraction from faces using deformable templates. International Journal of Computer Vision 8(2): 99-111 (1992) |
1991 | ||
13 | EE | Davi Geiger, Alan L. Yuille: A common framework for image segmentation. International Journal of Computer Vision 6(3): 227-243 (1991) |
1990 | ||
12 | Norberto M. Grzywacz, Alan L. Yuille: A Model for the Estimate of Local Velocity. ECCV 1990: 331-335 | |
11 | P. Lipson, Alan L. Yuille, D. O'Keeffe, J. Cavanaugh, J. Taaffe, D. Rosenthal: Deformable Templates for Feature Extraction from Medical Images. ECCV 1990: 413-417 | |
10 | Alan L. Yuille, Davi Geiger, Heinrich H. Bülthoff: Stereo Integration, Mean Field Theory and Psychophysics. ECCV 1990: 73-82 | |
9 | EE | Alan L. Yuille, Michael Leyton: 3D symmetry-curvature duality theorems. Computer Vision, Graphics, and Image Processing 52(1): 124-140 (1990) |
8 | EE | Alan L. Yuille, Davi Geiger: Stereo and controlled movement. International Journal of Computer Vision 4(2): 141-152 (1990) |
1989 | ||
7 | EE | Alan L. Yuille: Zero crossings on lines of curvature. Computer Vision, Graphics, and Image Processing 45(1): 68-87 (1989) |
6 | EE | Alan L. Yuille, Norberto M. Grzywacz: A mathematical analysis of the motion coherence theory. International Journal of Computer Vision 3(2): 155-175 (1989) |
1988 | ||
5 | EE | Tomaso Poggio, Harry Voorhees, Alan L. Yuille: A regularized solution to edge detection. J. Complexity 4(2): 106-123 (1988) |
1985 | ||
4 | EE | Michael Brady, Jean Ponce, Alan L. Yuille, Haruo Asada: Describing surfaces. Computer Vision, Graphics, and Image Processing 32(1): 1-28 (1985) |
1984 | ||
3 | Alan L. Yuille, Tomaso Poggio: Fingerprints Theorems. AAAI 1984: 362-365 | |
2 | Alan L. Yuille: The Smoothest Velocity Field Token Matching Schemes. ECAI 1984: 127-136 | |
1983 | ||
1 | Michael Brady, Alan L. Yuille: An Extremum Principle for Shape From Contour. IJCAI 1983: 969-972 |