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2002 -- testing.

  • A.L. Yuille and J.M. Coughlan. From Generic to Specific: An Information Theoretic Perspective on the Value of High-Level Information. In Probabilistic Models of the Brain: Perception and Neural Function, Eds. R. P. N. Rao, B. A. Olshausen, and M. S. Lewicki, MIT Press, 2002. [pdf]
  • J.M. Coughlan and A.L. Yuille. Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. Neural Computation, Vol. 14, No. 8, August 2002, pp 1929-58. [pdf]
  • A.L. Yuille. CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. Neural Computation, Vol. 14, No. 7, July 2002, pp 1691-1722. [pdf]
  • S.M. Konishi, A.L. Yuille, and J.M. Coughlan. A Statistical Approach to Multi-Scale Edge Detection. Generative Model Workshop. ECCV, June 2002. [pdf]
  • J.M. Coughlan and A.L. Yuille. Algorithms from Statistical Physics for Generative Models of Images. Generative Model Workshop. ECCV, June 2002. [pdf]

2001

  • Anand Rangarajan and A.L. Yuille. MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. In Proceedings Neural Information Processing Systems, pp 873-880, 2001, Vancouver, Canada, 2001. [pdf]
  • A.L. Yuille and Anand Rangarajan. The Concave-Convex Procedure (CCCP). In Proceedings Neural Information Processing Systems, pp 1033-1040. NIPS 2001, Vancouver, Canada, December 2001. [pdf]
  • James M. Coughlan and A.L. Yuille. The g Factor: Relating Distributions on Features to Distributions on Images. In Proceedings NIPS 2001, Vancouver, Canada, December 2001. [pdf]
  • A.L. Yuille. An Algorithm to Minimize the Bethe Free Energy. Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, INRIA Sophia-Antipolis, France, September 3 - 5, 2001. [pdf]
  • A.L. Yuille, J.M. Coughlan and S. Konishi. The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. International Conference of Computer Vision, Vancouver, Canada, July 2001. [pdf]
  • A.L. Yuille. An Algorithm to Minimize the Bethe and Kikuchi Free Energies. Workshop on Statistical Physics and Capacity-Approaching Codes, Abdus Salam International Centre for Theoretical Physics, Miramare, Trieste, Italy, May 21-25, 2001. [pdf]
  • S.C. Zhu, A.L. Yuille and A.D. Lanterman. ATR applications of minimax entropy models of texture and shape. In Proceedings SPIE, Orlando, Florida, April 2001. [pdf]
  • A.L. Yuille, J.M. Coughlan, Y-N. Wu and S.C. Zhu. Order Parameters for Minimax Entropy Distributions: When does high level knowledge help? International Journal of Computer Vision, 41(1/2), January 2001, pp 9-33. [pdf]

2000

  • P.N. Belhumeur, D.J. Kriegman, and A.L. Yuille. Shadows, Shading, and Projective Ambiguities. In Shape, contour and grouping in computer vision, D.A. Forsyth, J.L. Mundy, R. Cipolla and V. DiGesu (Eds.), Springer-Verlag LNCS 1681, 2000. [pdf]
  • J.M. Coughlan and A.L. Yuille. The Manhattan World Assumption: Regularities in scene statistics which enable Bayesian inference. In Proceedings Neural Information Processing Systems, pp 845-851. NIPS'2000, 2000. [pdf]
  • P-Y. Burgi, A.L. Yuille and N.M. Grzywacz. Probabilistic Motion Estimation Based on Temporal Coherence. Neural Computation, Vol. 12, August 2000, pp 1839-1867. [pdf]
  • S. Konishi and A.L. Yuille. Statistical cues for Domain Specific Image Segmentation with Performance Analysis. In Proceedings Computer Vision and Pattern Recognition. CVPR'2000, Hilton Head, South Carolina, June 2000. [pdf]
  • A.L. Yuille, J.M. Coughlan, Y-N. Wu and S.C. Zhu. Order Parameters for Minimax Entropy Distributions: When does high level knowledge help? In proceedings Computer Vision and Pattern Recognition. CVPR'2000, Hilton Head, South Carolina, June 2000. [pdf]
  • J. Coughlan, D. Snow, C. English and A.L. Yuille. Efficient Deformable Template Detection and Localization without User Initialization. Computer Vision and Image Understanding, 78, June 2000, pp 303-319. [pdf]
  • A.L. Yuille, James M. Coughan, and S.C. Zhu. A Unified Framework for Performance Analysis of Bayesian Inference. In Proceedings SPIE, Orlando, Florida, April 2000. [pdf]
  • A.L. Yuille and J. Coughlan. An A* perspective on deterministic optimization for deformable templates. Pattern Recognition, Vol. 33 (4), April 2000, pp 603-616. [pdf]
  • A.L. Yuille, J.M. Coughlan and S. Konishi. The Generic Viewpoint Constraint Resolves the Generalized Bas Relief Ambiguity. In Proceedings 200 Conference on Information Sciences and Systems (CISS 2000), Princeton University, March 15-17, 2000. [pdf]
  • A.L. Yuille and J.M. Coughlan. Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. Pattern Analysis and Machine Intelligence PAMI, Vol. 22, No. 2, February 2000. [pdf]

1999

  • P.W. Hallinan, G. Gordon, A.L. Yuille, P.J. Giblin and D.B. Mumford. Two- and Three- Dimensional Patterns of the Face. A K Peters, Ltd. 1999. [pdf]
  • A.L. Yuille, D. Snow, R. Epstein and P. Belhumeur. Determining Generative Models for Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. International Journal on Computer Vision, 35(3), December 1999, pp 203-222. [pdf]
  • P.N. Belhumeur, D. Kriegman, and A.L. Yuille. The Generalized Bas Relief Ambiguity. International Journal of Computer Vision, 35 (1), November 1999, pp 33-44. [pdf]
  • J.M. Coughlan and A.L. Yuille. Manhattan World: Compass Direction from a Single Image by Bayesian Inference. In Proceedings International Conference on Computer Vision ICCV'99, Corfu, Greece, September 1999. [pdf]
  • A. Rangarajan, A.L. Yuille and E. Mjolsness. A Convergence Proof for the Softassign Quadratic Assignment Algorithm. Neural Computation, 11, August. 1999, pp 1455-1474. [pdf]
  • J.M. Coughlan and A.L. Yuille. Bayesian A* tree search with expected O(N) convergence rates for road tracking. In Proceedings EMMCVPR'99, Springer-Verlag Lecture Notes in Computer Science 1654, July 1999. [pdf]
  • S. M. Konishi, A.L. Yuille, J.M. Coughlan and Song Chun Zhu. Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. In Proceedings Computer Vision and Pattern Recognition CVPR'99, Fort Collins, Colorado, June 1999. [pdf]
  • A.L. Yuille and J.M. Coughlan. High-Level and Generic Models for Visual Search: When does high level knowledge help? In Proceedings Computer Vision and Pattern Recognition CVPR'99, Fort Collins, Colorado, Vol. 2, June 1999, pp 631-637. [pdf]
  • A.L. Yuille and J. Coughlan. Visual Search: Fundamental Bounds, Order Parameters, and Phase Transitions. Proc. of IEEE workshop on Statistical and Computational Theories of Vision, Fort Collins, Co, June 1999. [pdf]
  • A.L. Yuille and J.M. Coughlan. Order Parameters and Fundamental Bounds for Visual Search. In Proceedings 33rd Annual Conference on Information Sciences and Systems CISS'99, March 17-19, The John Hopkins University, Baltimore, Maryland, March 1999. [pdf]

1998

  • A.L. Yuille and N.M. Grzywacz. A Theoretical Framework for Visual Motion. In High-level motion processing, Ed. T. Watanabe, A Bradford Book, The MIT Press, 1998. [pdf]
  • J.M. Coughlan and A.L. Yuille. A Phase Space Approach to Minimax Entropy Learning: The Minutemax approximation. In Proceedings Neural Information Processing Systems, pp 761-767. NIPS'98, 1998. [pdf]
  • A.L. Yuille and J.M. Coughlan. Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. In Proceedings Neural Information Processing Systems, pp 641-647. NIPS'98, 1998. [pdf]
  • A.L. Yuille, M. Ferraro, and T, Zhang. Image Warping for Shape Recovery and Recognition. Computer Vision and Image Understanding, Vol. 72, No. 3, December 1998, pp 351-359. [pdf]
  • T-L Liu, D. Geiger and A.L. Yuille. Segmenting by Seeking the Symmetry Axis. In the 14 International Conference on Pattern Recognition, Australia, August 1998. [pdf]
  • A.L. Yuille and J. Coughlan. Detecting visual contours: fundamental performance bounds and algorithmic complexity. Workshop on Perceptual Organization in Computer Vision, Santa Barbara, CA, June 1998. [pdf]
  • A.L. Yuille, P-Y. Burgi, and N.M. Grzywacz. Visual Motion Estimation and Prediction: A probabilistic network model for temporal coherence. In Proceedings of the International Conference of Computer Vision. (ICCV'98), Bombay, India, January 1998, pp 973-978. [pdf]
  • A.L. Yuille, D. Snow, and M. Nitzberg. Signfinder. In Proceedings of the International Conference of Computer Vision. (ICCV'98), Bombay, India, January 1998, pp 628-633. [pdf]

1997

  • L. Xu, S. Klasa and A.L. Yuille. Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. In Process in Neural Networks, Eds. O.M. Omidvar and C.L. Wilson, Ablex Pub, Norwood, New Jersey, 1997. [pdf]
  • A.L. Yuille, M. Ferraro, and T. Zhang. Surface Shape from Image Warping. In proceedings: ICIAP'97 International Conference on Image Analysis and Processing, Florence, September 17-19, 1997. [pdf]
  • A.L. Yuille, M. Ferraro, and T. Zhang. Shape from Image Warping. In Proceedings of Computer Vision and Pattern Recognition, CVPR'97, Puerto-Rico, June 1997. [pdf]
  • P.N. Belhumeur, D. Kriegman, and A.L. Yuille. The Generalized Bas Relief Ambiguity. In Proceedings of Computer Vision and Pattern Recognition. (CVPR'97), Puerto-Rico, June 1997. [pdf]
  • A.L. Yuille and D. Snow. Shape and Albedo from Multiple Images using Integrability. In Proceedings of Computer Vision and Pattern Recognition (CVPR'97), Puerto-Rico, June 1997. [pdf]
  • A.L. Yuille and J. Coughlan. Twenty Questions, Focus of Attention, and A*: A theoretical comparison of optimization strategies. In Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Eds. M. Pellilo and E. Hancock, Venice, Italy, Springer-Verlag, May 1997. [pdf]

1996

  • D. Knill, D. Kersten and A.L. Yuille. A Bayesian Formulation of Visual Perception. In Bayesian Approaches to Perception, Eds. D. Knill and W. Richards, Cambridge University Press, 1996. [pdf]
  • A.L. Yuille and H.H. Buelthoff. Bayesian Decision Theory and Psychophysics. In Bayesian Approaches to Perception, Eds. D. Knill and W. Richards, Cambridge University Press, 1996. [pdf]
  • A. Rangarajan, A.L. Yuille, S. Gold and E. Mjolsness. A Convergence Proof for the Softassign Quadratic assignment Problem. Neural Computation 11 (6), 1455-1474 [pdf]
  •  In Proceedings Neural Information Processing Systems. NIPS'96, pp 620-626, Snowmass, Colorado, 1996. [pdf]
  • S.C. Zhu and A.L. Yuille. A Flexible Object Recognition and Modelling System. International Journal of Computer Vision, 20(3), December 1996, pp 187-212. [pdf]
  • A.L. Yuille and S. C. Zhu. Learning Probability Models and Algorithms for Vision. In Proceedings International Conference on Neural Information Processing, Hong Kong, September 1996. [pdf]
  • S. C. Zhu, T.S. Lee and A.L. Yuille. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multi-band Image Segmentation. In IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 9, September 1996. [pdf]
  • H.H. Buelthoff and A.L. Yuille. A Bayesian Framework for the Integration of Visual Modules. In Attention Performance XVI: Information Integration in Perception and Communication, Eds. J. McClelland and T. Inui, MIT Press, June 1996. [pdf]
  • R. Epstein, A.L. Yuille, and P.N. Belhumeur. Learning and Recognizing Objects using Illumination Subspaces. In Object Representation Workshop. ECCV, Cambridge, England, April 1996. [pdf]
  • A.L. Yuille, J. Kolodny and C. Lee. Dimension Reduction, Generalized Deformable Models and the Development of Occularity. Neural Networks, Vol. 9, No. 2, March 1996, pp 309-319. [pdf]
  • A.L. Yuille and J.J. Clark. Bayesian Models, Deformable Templates and Competitive Priors. In Spatial Vision in Humans and Robots, Eds. L. Harris and M. Jenkin, Cambridge University Press, January 1996. [pdf]

1995

  • A.L. Yuille. Constrained Optimization. In The Handbook of Brain Theory and Neural Networks, Ed. M. Arbib, MIT Press, 1995. [pdf]
  • A.L. Yuille and D. Geiger. Winner-Take-All Mechanisms. In The Handbook of Brain Theory and Neural Networks, Ed. M. Arbib, MIT Press, 1995. [pdf]
  • Y. Yang and A.L. Yuille. Multilevel Detection of Stereo Disparity Surfaces. In DIMACS: Partitioning Data Sets, Eds. I.J. Cox, P. Hansen and B. Julesz, American Mathematical Society, 1995. [pdf]
  • Y. Yang and A. L. Yuille. Multilevel enhancement and detection of stereo disparity surfaces. Artificial Intelligence, 78, October 1995, pp 121-145. [pdf]
  • R. Epstein, P.W. Hallinan and A.L. Yuille. 5 plus or minus 2 Eigenimages Suffice: An Empirical Investigation of Low-Dimensional Lighting Models. In Proceedings of IEEE Workshop on Physics-Based Modeling in Computer Vision, June 1995, pp 108-116. [pdf]
  • P.N. Belhumeur and A.L. Yuille. Bayesian Techniques for Recovering Complete Surfaces From Variations in Texture. International Conference on Computer Vision. ICCV, Boston, June 1995. [pdf]
  • S. C. Zhu, T.S. Lee and A.L. Yuille. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multi-band Image Segmentation. In International Conference on Computer Vision. ICCV, Boston, June 1995. [pdf]
  • S.C. Zhu and A.L. Yuille. A Flexible Object Recognition and Modelling System. In Proceedings International Conference on Computer Vision. ICCV, Boston, June 1995. [pdf]
  • M. J. Weisman, A.L. Yuille, and J.J. Clark. Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. In Proceedings of the Conference of Robotics and Automation, Japan, May 1995. [pdf]
  • A.L. Yuille, S.M. Smirnakis and L. Xu. Bayesian Self-Organization driven by Prior probability Distributions. Neural Computation, Vol. 7, No. 3, May 1995. [pdf]
  • D. Geiger, B. Ladendorf and A.L. Yuille. Occlusions and binocular stereo. International Journal of Computer Vision, 14, April 1995, pp 211-226. [pdf]
  • L. Xu, and A.L. Yuille. Robust Principal Component Analysis by Self-Organizing Rules Based on Statistical Physics Approach. IEEE Trans on Neural Networks, Vol. 6, No. 1, January 1995, pp 131-144. [pdf]

1994

  • A.L. Yuille and J.J. Kosowsky. A Mathematical Analysis of Deterministic Annealing. In Artificial Neural Networks with Applications in Speech and Vision, Eds. R.J. Mammone Chapman and Hall, 1994. [pdf]
  • L. Xu, A. Krzyzak, and A. Yuille. On Radial Basis Function Net and Kernel Regression: Approximation Ability, Convergence Rate and Receptive Field Size. Neural Networks, Vol. 7, No. 4, 1994, pp 609-628. [pdf]
  • J. Kosowsky and A.L. Yuille. The Invisible Hand Algorithm: Solving the Assignment Problem with Statistical Physics. Neural Networks, Vol. 7, No. 3, 1994, pp 477-490. [pdf]
  • M. Matsugu and A.L. Yuille. Spatio-temporal Information Storage in a Content Addressable Memory using Realistic Neurons. Neural Networks, Vol. 7, No. 3, 1994, pp 419-439. [pdf]
  • R. Epstein and A.L. Yuille. Training a general purpose deformable template. In Proceedings of the First IEEE International Conference on Image Processing, Vol. 1, November 1994, pp 203-207, IEEE Computer Society Press, Austin, Texas. [pdf]
  • S. C. Zhu and A.L. Yuille. A Framework for shape representation and recognition. In Proceedings of the First IEEE International Conference on Image Processing, Vol. 1, November 1994, pp 671-675, IEEE Computer Society Press, Austin, Texas. [pdf]
  • S.M. Smirnakis and A.L. Yuille. Neural Implementation of Bayesian Vision Theories by Unsupervised Learning. In Proceedings on Computation and Neural Systems, Monterey, California, July 1994. [pdf]
  • A.L. Yuille and J.J. Kosowsky. Statistical Physics Algorithms that Converge. Neural Computation, Vol. 6, May 1994, pp 341-356. [pdf]
  • A. L. Yuille, P. Stolorz and J. Utans. Statistical Physics, Mixtures of Distributions and the EM Algorithm. Neural Computation, Vol. 6, No. 2, March 1994, pp 334-340. [pdf]

1993

  • A.L. Yuille, S.M. Smirnakis and L. Xu. Bayesian Self-Organization. In Proceedings Neural Information Processing Systems: Natural and Synthetic, pp 1001-1008, NIPS, 1993. [pdf]
  • Y. Yang, A. Yuille and J. Liu. Local, Global, and Multilevel Stereo Matching. In Proc. IEEE CVPR 93, New York, June 1993. [pdf]
  • I.M. Elfadel and A.L. Yuille. Mean-Field Phase Transitions and Correlation Functions for Gibbs Random Fields. Journal of Mathematical Imaging and Vision, Vol. 3, No. 2, June 1993, pp 167-186. [pdf]
  • S.N.J. Watamaniuk, N.M. Grzywacz, and A.L. Yuille. Dependence of Speed and Direction Perception on Cinematogram Dot Density. Vision Research, Vol. 33, Issues 5-6, June 1993, pp 849-859. [pdf]
  • B. Horn, R. Szeliski and A.L. Yuille. Impossible Shaded Images. Pattern Analysis and Machine Intelligence, Vol. 15, No. 2, February 1993, pp 166-170. [pdf]

1992

  • A.L. Yuille. Recovering Shape from Shading, Occlusion and Texture. Chapter in Computer Vision: Theory and Industrial Applications, Eds. C. Torras, Springer-Verlag, 1992. [pdf]
  • L. Xu and A.L. Yuille. Self-Organization for Robust Principal Component Analysis by the Statistical Physics Approach. In Proceedings Neural Information Processing Systems: Natural and Synthetic, pp 467-474. NIPS, 1992. [pdf]
  • J.J. Clark, M.J. Weisman and A.L. Yuille. Using Viewpoint Consistency in Active Stereo Vision. Proceedings of SPIE Conference on Intelligent Robots and Computer Vision XI, Boston, MA, November 1992, pp 696-702. [pdf]
  • M. Ohlsson, C. Peterson and A.L. Yuille. Track Finding with Deformable Templates - The Elastic Arms Approach. Computer Physics Communications, 71, October 1992, pp 77-98. [pdf]
  • A.L. Yuille and P.W. Hallinan. Deformable Templates for Recognition and Tracking. In Active Vision, Eds. A. Blake and A.L. Yuille, MIT Press, October 1992. [pdf]
  • Eds. A. Blake and A.L. Yuille. Active Vision. MIT Press, October 1992. [pdf]
  • A.L. Yuille, D. Geiger and L. Vincent. Statistical Morphology. Journal of Mathematical Imaging and Vision, 1, September 1992, pp 223-238. [pdf]
  • I.M. Elfadel and A.L. Yuille. Mean-Field Phase Transitions for Gibbs Random Fields. SPIE Proceedings, Vol. 1766, Neural and Stochastic Methods in Image and Signal Processing, San Diego, 19-24 July 1992. [pdf]
  • Y. Yang and A.L. Yuille. Grouping Iso-Velocity Points for Ego-Motion Recovery. Proceedings American Association for Artificial Intelligence-92, AAAI Press/The MIT Press, July 1992, pp 356- 361, San Jose, California. [pdf]
  • L. Xu, and A.L. Yuille. Robust PCA Learning Rules Based on Statistical Physics Approach. Proceedings of International Joint Conference on Neural Networks, Baltimore, Vol. 1, June 1992, pp 812-817. [pdf]
  • L. Xu, A. Krzyzak, and A.L. Yuille. Kernel Regression and Radial Basis Function Net: Some Theoretical Studies. Proceedings of International Joint Conference on Neural Networks, Baltimore, Vol. 1, June 1992, pp 818-823. [pdf]
  • L. Xu, S. Klasa and A.L. Yuille. Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. International Journal of Neural Systems, Vol. 3, No. 3, June 1992, pp 253-290. [pdf]
  • D. Geiger, B. Ladendorf and A.L. Yuille. Occlusions and binocular stereo. Proceedings of the Second European Conference on Computer Vision. ECCV, Genoa, Italy, Ed. G. Sandini, May 1992, pp 425-433, Springer-Verlag, Berlin. [pdf]
  • T.S. Lee, D. Mumford and A.L. Yuille. The Coupled-Membrane Model. Proceedings of the Second European Conference on Computer Vision. ECCV, Genoa, Italy, Ed. G. Sandini, May 1992, pp 165-173, Springer-Verlag, Berlin. [pdf]
  • A.L. Yuille, P.W. Hallinan and D.S. Cohen. Feature extraction from faces using Deformable Templates. International Journal of Computer Vision, 8:2, April 1992, pp 99-111. [pdf]
  • A.L. Yuille and I.M. Elfadel. Mean-field theory and phase transitions for grayscale texture synthesis. Proceedings 26th Conference on Information Sciences and Systems, Princeton University, March 18-20 1992, pp 350-355. [pdf]

1991

  • N.M. Grzywacz and A.L. Yuille. Theories for the Visual Perception of Local Velocity and Coherent Motion. In Computational Models of Visual Processing, Eds. M.S. Landy and J.A. Movshon, MIT Press, Cambridge, Mass, 1991. [pdf]
  • D. Kammen and A.L. Yuille. Self-Organizing Networks of Neural Units: Hebbian Learning in Development and Biological Computing. In Advances in Control Networks and Large-Scale Parallel-Distributed Processing Models, Ed. M. D. Fraser, Ablex Publications, 1991. [pdf]
  • H.H. Buelthoff and A.L. Yuille. Bayesian Models for Seeing Shapes and Depth. Journal of Theoretical Biology, Vol. 2, Issue 4, 1991. [pdf]
  • L. Xu, S. Klasa and A.L. Yuille. Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. In proceedings International Joint Conference on Neural Networks, Beijing, China, November 1991. [pdf]
  • D. Geiger and A.L. Yuille. A common framework for image segmentation. International Journal of Computer Vision, Vol. 6, No. 3, August 1991, pp 227-243. [pdf]
  • A.L. Yuille, C. Peterson and K. Honda. Deformable Templates, robust statistics, and Hough transforms. Proceedings SPIE Geometric Methods in Computer Vision, San Diego, CA, July 1991. [pdf]
  • I. Elfadel and A.L. Yuille. Mean Field Theory for Texture Synthesis. Proceedings SPIE Stochastic and Neural Methods in Signal Processing, Image Processing, and Computer Vision, San Diego, CA, July 1991. [pdf]
  • A.L. Yuille, D. Geiger and L. Vincent. Statistical Morphology. Proceedings SPIE Image Analysis and Morphological Image Processing, San Diego, CA, July 1991. [pdf]
  • A.L. Yuille, J. Kolodny and C. Lee. Dimension Reduction, Generalized Deformable Models and the Development of Occularity. Proceedings International Joint Conference on Neural Networks. IJCNN, Vol. II, July 1991, pp 597-603, Seattle, WA. [pdf]
  • J. Kosowsky and A.L. Yuille. The Invisible Hand Algorithm: Solving the Assignment Problem with Statistical Physics. Proceedings International Joint Conference on Neural Networks. IJCNN, Seattle, WA, July 1991. [pdf]
  • A.L. Yuille, K. Honda and C. Peterson. Particle Tracking by Deformable Templates. Proceedings International Joint Conference on Neural Networks. IJCNN, Seattle, WA, July 1991. [pdf]
  • Y. Yang and A.L. Yuille. Sources from Shading. Proceedings Computer Vision and Pattern Recognition, Hawaii, June 1991. [pdf]
  • A.L. Yuille, D. Geiger and H.H. Bulthoff. Stereo Integration, Mean Field and Psychophysics. NETWORK: Computation in Neural Systems, 2, March 1991, pp 423-442. [pdf]
  • A.L. Yuille. Deformable Templates for Face Recognition. Journal of Cognitive Neuroscience, Vol. 3, No. 1, January 1991. [pdf]

1990

  • A.L. Yuille and S. Ullman. Computational Theories of Low Level Vision. In An Invitation to Cognitive Science. Vol. 2, Eds. D. Osherson, S. Kosslyn and J. Hollerbach, MIT Press, Cambridge, MA, 1990. [pdf]
  • A.L. Yuille. Generalized Deformable Models, Statistical Physics and Matching Problems. Neural Computation, 2, 1990, pp 1-24. [pdf]
  • J.J. Clark and A.L. Yuille. Data Fusion for Sensory Information Processing Systems. Kluwer Academic Publishers, 1990. [pdf]
  • M.A. Gennert, B. Ren and A.L. Yuille. Stereo matching by energy function minimization. Proceedings of the SPIE: Visual Communications and Image Processing, Boston, November 1990. [pdf]
  • H.H. Buelthoff and A.L. Yuille. Shape-from-X: psychophysics and computation. Proceedings of the SPIE: Visual Communications and Image Processing, Boston, November 1990. [pdf]
  • A.L. Yuille and M. Leyton. Symmetry Duality Theorems for 3-D objects. Computer Graphics and Image Processing, 52, October 1990, pp 124-140. [pdf]
  • P. Lipson, A.L. Yuille, D. O'Keefe, J. Cavanaugh, J. Taaffe and D. Rosenthal. Automated bone density calculation using a PACS workstation based image processing technique of deformable templates. Proceedings of the First Conference on Visualization in Biomedical Computing, Atlanta, Georgia, June 1990. [pdf]
  • D. Geiger and A.L. Yuille. A Common Framework for Image Segmentation. Proceedings of the 10th International Conference on Pattern Recognition, Atlantic City, June 1990. [pdf]
  • J.J. Clark and A.L. Yuille. Shape from shading via the fusion of Specular and Lambertian Image Components. Proceedings of the 10th International Conference on Pattern Recognition, Atlantic City, New Jersey, June 1990. [pdf]
  • P. Lipson, A.L. Yuille, D. O'Keefe, J. Cavanaugh, J. Taaffe and D. Rosenthal. Deformable Templates for Feature Extraction from Medical Images. Proceedings First European Conference on Computer Vision, April 1990, pp 477-484. Antibes, France. [pdf]
  • A.L. Yuille, D. Geiger and H.H. Bulthoff. Stereo Integration, Mean Field and Psychophysics. Proceedings First European Conference on Computer Vision, Antibes, France, April 1990. [pdf]
  • N.M. Grzywacz and A.L. Yuille. A model for the estimate of local image velocity by cells in the visual cortex. Proceedings First European Conference on Computer Vision, Antibes, France, April 1990. [pdf]
  • A.L. Yuille and D. Geiger. Stereo and Controlled Movements. International Journal of Computer Vision, 4, March 1990, pp 141-152. [pdf]
  • N.M. Grzywacz and A.L. Yuille. A model for the estimate of local image velocity by cells in the visual cortex. Proceedings of the Royal Society of London, B, 239, March 1990, pp 129-161. [pdf]

1989

  • R. Durbin, R. Szeliski and A.L. Yuille. An Analysis of an Elastic net Approach to the Traveling Salesman Problem. Neural Computation, 1, 1989, pp 348-358. [pdf]
  • A.L Yuille and N.M. Grzywacz. A Winner--Take--All Mechanism based on Presynaptic Inhibition. Neural Computation, 1, 1989, pp 334-347. [pdf]
  • A.L. Yuille and D. Kammen. Models for the Development of the Visual Cortex. In The Neuron as a Computational Unit. Eds R. Durbin, C. Miall and G. Mitchison, Addison-Wesley, Reading, MA, 1989. [pdf]
  • S. Ullman and A.L. Yuille. Rigidity and the Smoothness of Motion. In Image Understanding 1989, Eds. S. Ullman and W. Richards, Ablex Publishing Corporation, Norwood, New Jersey, 1989. [pdf]
  • D. Geiger and A.L. Yuille. Stereo and Eye movements. Biological Cybernetics. 62, December 1989, pp 117-128. [pdf]
  • A.L. Yuille, D. Kammen and D.S. Cohen. Quadrature and the Development of Orientation Selective Cortical Cells by Hebb Rules. Biological Cybernetics, 61, July 1989, pp 183-194. [pdf]
  • R. Jasinschi and A.L. Yuille. Non-Rigid Motion and Regge Calculus. Journal of the Optical Society of America, Vol. 6, No. 7, July 1989. [pdf]
  • A.L. Yuille. Energy function for early vision and analog networks. Biological Cybernetics, 61, June 1989, pp 115-123. [pdf]
  • A.L. Yuille and N.M. Grzywacz. A Mathematical Analysis of the Motion Coherence Theory. International Journal of Computer Vision, 3, June 1989, pp 155-175. [pdf]
  • Ten-Lee Hwang, J.J. Clark and A.L. Yuille. A Depth Recovery Algorithm Using Defocus Information. Proceedings of Computer Vision and Pattern Recognition 89, San Diego, California, June 1989, pp 476-482. [pdf]
  • A.L. Yuille, D.S. Cohen and P.W. Hallinan. Feature extraction from faces using deformable templates. Proceedings of Computer Vision and Pattern Recognition, June 1989. [pdf]
  • A.L. Yuille and N.M. Grzywacz. A model for the estimate of local image velocity by cells in the visual cortex. Invest. Ophthalmol. Vis. Sci., 30, 425, May 1989. [pdf]
  • N.M. Grzywacz, J.A. Smith, and A.L. Yuille. A common theoretical framework for visual motion's spatial and temporal coherence. Proceedings IEEE Workshop on Visual Motion, Irvine, March 1989, pp 148-155. [pdf]
  • A.L. Yuille. Zero Crossings on Lines of Curvature. Computer Vision, Graphics and Image Processing 45, January 1989, pp 68-87. [pdf]

1988

  • A.L. Yuille and T. Poggio. Scaling and Fingerprint Theorems for Zero-Crossings. In Advances in Computer Vision, Vol. 2, Ed. C. Brown, 1988. [pdf]
  • M. Gennert and A.L. Yuille. Determining the Optimal Weights in Multiple Objective Function Optimization. Proceedings Second International Conference on Computer Vision , Tampa, Florida, December 1988. [pdf]
  • A.L. Yuille and N.M. Grzywacz. The Motion Coherence Theory. Proceedings of the Second International Conference on Computer Vision 1988, Tampa, Florida, December 1988. [pdf]
  • A.L. Yuille. The creation of structure in dynamic shape. Proceedings of the Second International Conference on Computer Vision 1988, Tampa, Florida, December 1988, pp 685-689. [pdf]
  • D. Kammen and A.L. Yuille. Spontaneous symmetry-breaking, energy functions and the emergence of orientation selective cells. Biological Cybernetics, 59, June 1988, pp 23-31. [pdf]
  • T. Poggio, H. Voorhees and A.L. Yuille. A Regularized Solution to Edge Detection. Journal of Complexity, Vol. 4, June 1988, pp. 106-123. [pdf]
  • A.L. Yuille and N.M. Grzywacz. A Computational Theory for the Perception of Visual Motion. Invest. Ophthalmol. Vis. Sci., 29, 252, May 1988. [pdf]
  • A.L. Yuille and N.M. Grzywacz. A Computational theory for the Perception of Coherent Visual Motion. Nature, 333, May 1988, pp 71-74. [pdf]
  • A. Verri and A.L. Yuille. Perspective Projective Invariants. Journal of the Optical Society of America, Vol. 5, No. 3, March 1988, pp 426-432. [pdf]
  • N.M. Grzywacz and A.L. Yuille. Massively Parallel Implementations of theories of Apparent Motion. Spatial Vision, Vol. 3, No. 1, January 1988, pp 15-44. [pdf]

1987

  • A.L. Yuille. Israel-Wilson Metrics in Quantum-Gravity. Classical and Quantum Gravity, 4, September 1987, pp 1409-1426. [pdf]
  • D. Geiger and A.L. Yuille. Stereo and Eye movements. Proceedings First International Conference on Computer Vision, ICCV'87, London, England, June 1987. [pdf]
  • A.L. Yuille and M. Leyton. Symmetry Duality Theorems for 3-D objects. Proceedings of First International Conference on Computer Vision, ICCV'87, London, England, June 1987. [pdf]
  • A.L. Yuille. A method for computing spectral reflectance. Biological Cybernetics, May 1987, 56. [pdf]
  • J.M. Brady and A.L. Yuille. An Extremum Principle for Shape from Contour. In Vision, Brain and Cooperative Computation, Eds. M.A. Arbib and A.L. Hanson, MIT Press, April 1987. [pdf]

1986

  • M. Brady, J. Ponce, A.L. Yuille and H. Asada. Describing Surfaces. In Human and Machine Vision II, Ed. A. Rosenfeld, 1986. [pdf]
  • C. Koch, J. Marroquin and A.L. Yuille. Analog “Neuronal” Networks in Early Vision. Proceedings of the National Academy of Science, 83, June 1986, pp 4263-4267. [pdf]
  • N.M. Grzywacz and A.L. Yuille. Massively Parallel Implementations of theories of Apparent Motion. In AIP Conference Proceedings 151, Neural Networks for Computing, Ed. J. Denker, American Institute of Physics, April 1986. [pdf]
  • A.L. Yuille and T. Poggio. Scaling Theorems for Zero Crossings. Pattern Analysis and Machine Intelligence, January 1986. [pdf]

1985

  • A.L. Yuille and T. Poggio. Scale Space Theorems. In Image Understanding 1985, Eds. W. Richards and S. Ullman, ABLEX, 1985. [pdf]
  • M. Brady, J. Ponce, A.L. Yuille and H. Asada. Describing Surfaces. Computer Vision, Graphics and Image Processing, 32, October 1985, pp 1-28. [pdf]
  • A.L. Yuille and T. Poggio. Fingerprint Theorems for Zero Crossings. Journal of the Optical Society of America, Vol. 2, May 1985. [pdf]
  • M. Brady and A.L. Yuille. Representing Three-Dimensional Shape. Proceedings of the Romansy Conf., Udine, Italy, May 1985. [pdf]

1984

  • A.L. Yuille. The Smoothest Velocity Field and Token Matching Schemes. In Proceedings European Conference on Artificial Intelligence ECAI, Pisa, Italy, September 1984. [pdf]
  • A.L. Yuille and T. Poggio. Scaling Theorems for Zero Crossings. Proceedings of the IEEE workshop on Computer Vision, Annapolis, May 1984. [pdf]
  • J.M. Brady and A.L. Yuille. An Extremum Principle for Shape from Contour. Pattern Analysis and Machine Intelligence -6, May 1984, pp 288-301. [pdf]
  • A.L. Yuille and T. Poggio. Fingerprint Theorems for Zero Crossings. In proceedings, American Association of Artificial Intelligence, Austin, Texas, April 1984. [pdf]

1983

  • A.L. Yuille. Zero Crossings on Lines of Curvature. In Proceedings American Association for Artificial Intelligence AAAI, Washington, August 1983. [pdf]
  • J.M. Brady and A.L. Yuille. An Extremum Principle for Shape from Contour. In Proceedings International Joint Conference on Artificial Intelligence (IJCAI), Karlsruhe, Germany, June 1983. [pdf]

1979

  • A.L. Yuille. Yang-Mills Instantons in self-dual Spacetimes. Phys. Lett., February 1979, B81, 321. [pdf]

1978

  • C.N. Pope and A.L. Yuille. A Yang-Mills Instanton in Taub-NUT Space. Phys. Lett., October 1978, B78, 424. [pdf]