Publications

Coughlan, J., & Shen, H.. (2013). Crosswatch: a system for providing guidance to visually impaired travelers at traffic intersections. Journal Of Assistive Technologies, 7.

Coughlan, J., & Shen, H.. (2012). The crosswatch traffic intersection analyzer: a roadmap for the future. In Computers Helping People with Special Needs (pp. 25–28). Springer Berlin Heidelberg.

Biggs, B., Coughlan, J., & Coppin, P.. (2019). Design and Evaluation of an Audio Game-Inspired Auditory Map Interface. In The 25th International Conference on Auditory Display (ICAD 2019). Northumbria University, Newcastle-upon-Tyne, UK: Northumbria University, Newcastle-upon-Tyne, UK.

Biggs, B., Coughlan, J., & Coppin, P.. (2021). Design and evaluation of an interactive 3D map. In RESNA 2021 Conference.

Ivanchenko, V., Coughlan, J., & Shen, H.. (2008). Detecting and locating crosswalks using a camera phone. In Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE Computer Society Conference on (pp. 1–8). IEEE.

Fusco, G., Shen, H., Murali, V., & Coughlan, J.. (2014). Determining a Blind Pedestrian’s Location and Orientation at Traffic Intersections. In Computers Helping People with Special Needs (pp. 427–432). Springer International Publishing.

Coughlan, J., & Shen, H.. (2007). Dynamic quantization for belief propagation in sparse spaces. Computer Vision And Image Understanding, 106, 47–58.

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.

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.

Ivanchenko, V., Shen, H., & Coughlan, J.. (2009). Elevation-based MRF stereo implemented in real-time on a GPU. In Applications of Computer Vision (WACV), 2009 Workshop on (pp. 1–8). IEEE.

Coughlan, J., & Shen, H.. (2010). An Embarrassingly Simple Speed-Up of Belief Propagation with Robust Potentials. Arxiv Preprint Arxiv:1010.0012.

Coughlan, J., & Miele, J.. (2017). Evaluating Author and User Experience for an Audio-Haptic System for Annotation of Physical Models. In 19th Int’l ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2017). ACM: Baltimore, MD.

Verghese, P., & Coughlan, J.. (2007). Evolution of a motion trajectory over time. Journal Of Vision, 7, 1013–1013.

Walker, L., Verghese, P., & Coughlan, J.. (2006). Eye movements incorporate knowledge of part structure. Journal Of Vision, 6, 482–482.

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.

Shen, H., Coughlan, J., & Ivanchenko, V.. (2009). Figure-ground segmentation using factor graphs. Image And Vision Computing, 27, 854–863.

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

Shen, H., & Coughlan, J.. (2006). Finding text in natural scenes by figure-ground segmentation. In Pattern Recognition, 2006. ICPR 2006. 18th International Conference on (Vol. 4, pp. 113–118). IEEE.

Yuille, A. L., & Coughlan, J.. (1999). From Generic to Specific: An Information Theoretic Perspective on the Value of High-Level Information. Probabilistic Models Of The Brain, 135.

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.. (2009). Functional assessment of a camera phone-based wayfinding system operated by blind and visually impaired users. International Journal On Artificial Intelligence Tools, 18, 379–397.

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

Konishi, S., Yuille, A. L., Coughlan, J., & Zhu, S. Chun. (2002). Fundamental bounds on edge detection: learning and evaluating edge cues. Pattern Anal. Machine Intell.

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.. (2001). The g Factor: Relating Distributions on Features to Distributions on Images. In NIPS (pp. 1231–1238).