| 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 |
