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Coughlan, J., & Shen, H.. (2004). Shape matching with belief propagation: Using dynamic quantization to accomodate occlusion and clutter. In Computer Vision and Pattern Recognition Workshop, 2004. CVPRW'04. Generative Model-Based Vision. (pp. 180–180). IEEE.
Coughlan, J., & Miele, J.. (2017). AR4VI: AR as an Accessibility Tool for People with Visual Impairments. In AR for Good, part of ISMAR 2017. IEEE: Nantes, France.
Coughlan, J., & Manduchi, R.. (2007). Functional assessment of a camera phone-based wayfinding system operated by blind users. Ieee Computer Society And The Biological And Artificial Intelligence Society.
Coughlan, J., Manduchi, R., & Shen, H.. (2006). Computer vision-based terrain sensors for blind wheelchair users. In Computers Helping People with Special Needs (pp. 1294–1297). Springer Berlin Heidelberg.
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., & Yuille, A. L.. (2003). A large deviation theory analysis of Bayesian tree search. Ima Volumes In Mathematics And Its Applications, 133, 1–18.
Coughlan, J., Shen, H., & Biggs, B.. (2020). Towards Accessible Audio Labeling of 3D Objects. Journal On Technology And Persons With Disabilities, 8.
Coughlan, J., & Editor: Tyler, C. W.. (2011). Mechanisms for propagating surface information in 3-D reconstruction. In Computer Vision: From Surfaces to 3D Objects. Chapman and Hall/CRC Press.
Coughlan, J., & Ferreira, S. J.. (2002). Finding deformable shapes using loopy belief propagation. In Computer Vision—ECCV 2002 (pp. 453–468). Springer Berlin Heidelberg.
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., Manduchi, R., & Shen, H.. (2006). Cell phone-based wayfinding for the visually impaired. In 1st International Workshop on Mobile Vision.
Coughlan, J., & Yuille, A. L.. (1999). Manhattan world: Compass direction from a single image by bayesian inference. In Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on (Vol. 2, pp. 941–947). IEEE.
Coughlan, J., Yuille, A. L., English, C., & Snow, D.. (1998). Efficient optimization of a deformable template using dynamic programming. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (pp. 747–747). IEEE Computer Society.
Coughlan, J., & Shen, H.. (2007). Dynamic quantization for belief propagation in sparse spaces. Computer Vision And Image Understanding, 106, 47–58.