James Coughlan

Konishi, S. ., Yuille, A. L., Coughlan, J. ., & Zhu, S. C. (2003). Statistical edge detection: Learning and evaluating edge cues. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25, 57–74.

Coughlan, J. ., & Ferreira, S. J. (2002). Finding deformable shapes using loopy belief propagation. In Computer Vision—ECCV 2002 (pp. 453–468). Springer Berlin Heidelberg.

Szeliski, R. ., & Coughlan, J. . (1994). Hierarchical spline-based image registration. Computer Vision and Pattern Recognition, 1994. Proceedings CVPR’94., 1994 IEEE Computer Society Conference on, 194–201. IEEE.

Szeliski, R. ., & Coughlan, J. . (1997). Spline-based image registration. International Journal of Computer Vision, 22, 199–218.

Konishi, S. ., Yuille, A. L., Coughlan, J. ., & Zhu, S. C. (1999). Fundamental bounds on edge detection: An information theoretic evaluation of different edge cues. Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference On., 1. IEEE.

Coughlan, J. ., & Yuille, A. L. (1999). Manhattan world: Compass direction from a single image by bayesian inference. Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 2, 941–947. IEEE.

Coughlan, J. ., Yuille, A. L., English, C. ., & Snow, D. . (2000). Efficient deformable template detection and localization without user initialization. Computer Vision and Image Understanding, 78, 303–319.

Yuille, A. L., & Coughlan, J. . (2000). Fundamental limits of Bayesian inference: order parameters and phase transitions for road tracking. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 22, 160–173.

Coughlan, J. ., & Yuille, A. L. (2003). Manhattan world: Orientation and outlier detection by bayesian inference. Neural Computation, 15, 1063–1088.

Fusco, G. ., Tekin, E. ., Ladner, R. E., & Coughlan, J. . (2014). Using Computer Vision to Access Appliance Displays. ASSETS. Presented at the ASSETS. (Original work published 2014)