Coughlan, J. ., & Yuille, A. L. (2000). The Manhattan world assumption: Regularities in scene statistics which enable Bayesian inference. NIPS, 845–851.
James Coughlan
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.
Rangarajan, A. ., Coughlan, J. ., & Yuille, A. L. (2003). A bayesian network framework for relational shape matching. Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, 671–678. IEEE.
Coughlan, J. ., Manduchi, R. ., & Shen, H. . (2006). Cell phone-based wayfinding for the visually impaired. 1st International Workshop on Mobile Vision. Presented at the 1st International Workshop on Mobile Vision.
Konishi, S. ., Yuille, A. L., & Coughlan, J. . (2003). A statistical approach to multi-scale edge detection. Image and Vision Computing, 21, 37–48.
Coughlan, J. ., & Shen, H. . (2004). Shape matching with belief propagation: Using dynamic quantization to accomodate occlusion and clutter. Computer Vision and Pattern Recognition Workshop, 2004. CVPRW’04. Generative Model-Based Vision., 180–180. IEEE.
Yuille, A. L., & Coughlan, J. . (1997). Twenty Questions, Focus of Attention, and A*: A theoretical comparison of optimization strategies. In Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 195–212). Springer Berlin Heidelberg.
Coughlan, J. ., Yuille, A. L., English, C. ., & Snow, D. . (1998). Efficient optimization of a deformable template using dynamic programming. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 747–747. IEEE Computer Society.