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Alan Yuille
Yuille, A. L., Coughlan, J. ., Zhu, S. C., & Wu, Y. . (2000). Order Parameters for Minimax Entropy Distributions: When does high level knowledge help?. Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on, 1, 558–565. IEEE.
Yuille, A. L., Coughlan, J. ., & Konishi, S. . (2000). The generic viewpoint constraint resolves the generalized bas relief ambiguity. Proc. Of Conference on Information Scienes and Systems (CISS 2000), 15–17.
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Coughlan, J. ., & Yuille, A. L. (2000). The Manhattan world assumption: Regularities in scene statistics which enable Bayesian inference. NIPS, 845–851.
Yuille, A. L., & Coughlan, J. . (2000). An A∗ perspective on deterministic optimization for deformable templates. Pattern Recognition, 33, 603–616.
Yuille, A. L., Coughlan, J. ., Wu, Y. ., & Zhu, S. C. (2001). Order Parameters for Detecting Target Curves in Images: When does high level knowledge help?. International Journal of Computer Vision, 41, 9–33.
Yuille, A. L., & Coughlan, J. . (1999). High-Level and Generic Models for Visual Search: When does high level knowledge help?. Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference On., 2. IEEE.
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