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. . (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.
Coughlan, J. ., & Shen, H. . (2006). A fast algorithm for finding crosswalks using figure-ground segmentation. 2nd Workshop on Applications of Computer Vision, in Conjunction With ECCV, 5.
Coughlan, J. ., & Yuille, A. L. (1999). Bayesian A* tree search with expected O (N) convergence rates for road tracking. In Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 189–204). Springer Berlin Heidelberg.
Coughlan, J. ., & Manduchi, R. . (2007). Color targets: Fiducials to help visually impaired people find their way by camera phone. EURASIP Journal on Image and Video Processing, 2007.
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.