Publications

Likova, L. T., Mei, M., Mineff, K. N., & Nicholas, S. C.. (2019). Is the face schema innate? Evidence from learning faces in the congenital blind. Retrieved from SfN

Tregillus, K. E. M., & Likova, L. T.. (2018). Fiber-tract differences in people with congenital and acquired blindness. Journal Of Vision, (18(10).

Tregillus, K. E. M., & Likova, L. T.. (2018). Fiber-tract differences in people with congenital and acquired blindness. http://doi.org/10.1167/18.10.543

Wu, J., Sheng-hua, Z., Ma, Z., Heinen, S. J., & Jiang, J.. (2018). Foveated convolutional neural networks for video summarization. Multimedia Tools And Applications, 77(22), 29245-29267. http://doi.org/https://doi.org/10.1007/s11042-018-5953-1

Likova, L. T., Tyler, C. W., Mineff, K. N., & Nicholas, S. C.. (2016). Fundamental anti-symmetries in the brain organization of conceptual knowledge representation help resolve long-standing controversies. Journal Of Vision., (16(12).

Ghahghaei, S., & Verghese, P.. (2015). Feedback about gaze position improves saccade efficiency. Journal of vision.

Heinen, S. J., Potapchuk, E., & Watamaniuk, S. N. J.. (2015). A foveal target increases catch-up saccade frequency during smooth pursuit. Journal Of Neurophysiology, jn–00774.

Heinen, S. J., Jin, Z., & Watamaniuk, S. N. J.. (2011). Flexibility of foveal attention during ocular pursuit. Journal Of Vision, 11, 9.

Heinen, S. J., Hwang, H., & Yang, S. -nan. (2011). Flexible interpretation of a decision rule by supplementary eye field neurons. Journal Of Neurophysiology, 106, 2992–3000.

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

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.

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., & 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.. (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.

Brabyn, J. (2006). Future Directions in Blindness and Low Vision Perspectives from a State-of-the-Science Conference. Visual Impairment Research, 8(3), 61-66. http://doi.org/10.1080/13882350601061984

Lott, L., Haegerstrom-Portnoy, G., Schneck, M., & Brabyn, J.. (2005). Face Recognition in the Elderly. Optometry And Vision Science, 82(10), 874-81. http://doi.org/10.1097/01.opx.0000180764.68737.91

Brabyn, J., Schneck, M., Haegerstrom-Portnoy, G., & Lott, L.. (2004). Functional vision: ‘Real world’ impairment examples from the SKI Study. Visual Impairment Research, 6(1), 35-44.

Likova, L. T., & Tyler, C. W.. (2003). Failure of stereomotion capture in an object disappearance paradigm. Is&t/spie Electronic Imaging. Retrieved from http://doi.org/10.1117/12.485517

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

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.

Missal, M., & Heinen, S. J.. (2001). Facilitation of smooth pursuit initiation by electrical stimulation in the supplementary eye fields. Journal Of Neurophysiology, 86, 2413–2425.

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.

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.

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.

Jampolsky, A. (1997). Full time alternate occlusion prevents abnormal binocular development and is a safe delaying mechanism. American Orthoptic Journal, 47, 103–108.