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2020

Fusco, G., & Coughlan, J.. (2020). Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone. In 17th International Web for All Conference: Automation for Accessibility.

Fusco, G., Cheraghi, S. Ali, & Coughlan, J.. (2020). An Indoor Navigation App using Computer Vision and Sign Recognition. In 17th International Conference on Computers Helping People with Special Needs.

2018

Fusco, G., & Coughlan, J.. (2018). Indoor Localization using Computer Vision and Visual-Inertial Odometry. In International Conference on Computers Helping People with Special Needs (ICCHP '18). Linz, Austria: Linz, Austria.

Shanidze, N., Ullman, E., Badler, J. B., & Verghese, P.. (2018). Interaction of Eye and Head Movements during Smooth Pursuit in Macular Degeneration. Investigative Ophthalmology & Visual Science.

2017

Ma, Z., Watamaniuk, S. N. J., & Heinen, S. J.. (2017). Illusory motion reveals velocity matching, not foveation, drives smooth pursuit of large objects. Journal Of Vision, 17(12).

2016

Hoffman, D. M., Stepien, N. N., & Xiong, W.. (2016). The importance of native panel contrast and local dimming density on perceived image quality of high dynamic range displays. Journal Of The Society For Information Display.

Gonzalez, R., Rituerto, A., & Guerrero, J. J.. (2016). Improving Robot Mobility by Combining Downward-Looking and Frontal Cameras. Robotics, 5, 25. http://doi.org/10.3390/robotics5040025

2015

Gambacorta, C., McKee, S. P., Verghese, P., & Levi, D.. (2015). An irreducible delay in manual and saccadic reaction time in amblyopia. Journal of vision.

2014

Adler, S. A., Fuda, C. M., & Wong-Kee-You, A. M. B.. (2014). Infant and Adult Localization of a Conjunction Target: An Eye Movement Study.

Souza-Dias, C. R., Goldchmit, M., Moraes, F. P., & Jampolsky, A.. (2014). The influence of body position on Bielschowsky's test. Arquivos Brasileiros De Oftalmologia, 77, 88–90.

Kim, Y. J., & Verghese, P.. (2014). The influence of segmentation and uncertainty on target selection. Journal Of Vision, 14, 3.

Tekin, E., Coughlan, J., & Simon, H. J.. (2014). An Investigation into Incorporating Visual Information in Audio Processing. In Computers Helping People with Special Needs (pp. 437–440). Springer International Publishing.

2013

Verghese, P., & Ghahghaei, S.. (2013). Immediate feedback improves saccadic efficiency. Journal of Vision. Association for Research in Vision and Ophthalmology.

Tekin, E., Coughlan, J., & Simon, H. J.. (2013). Improving speech enhancement algorithms by incorporating visual information. The Journal Of The Acoustical Society Of America, 134, 4237–4237.

2010

Behrens, F., Mackeben, M., & Schröder-Preikschat, W.. (2010). An improved algorithm for automatic detection of saccades in eye movement data and for calculating saccade parameters. Behavior Research Methods, 42, 701–708.

2007

Likova, L. T. (2007). Instantaneous stimulus paradigm: cortical network and dynamics of figure-ground organization. Is&t/spie Electronic Imaging Xii, 64921E. Retrieved from http://doi.org/10.1117/12.707556

2005

Walker, L., Coughlan, J., Verghese, P., & Malik, J.. (2005). An information maximization model of eye movements. Advances In Neural Information Processing Systems, 17, 1121-8.

2002

Vreven, D., & Verghese, P.. (2002). Integration of speed signals in the direction of motion. Perception & Psychophysics, 64, 996-1007.

2000

Altpeter, E., Mackeben, M., & Trauzettel-Klosinski, S.. (2000). The importance of sustained attention for patients with maculopathies. Vision Research, 40, 1539–1547.

1992

Verghese, P., & Pelli, D. G.. (1992). The information capacity of visual attention. Vision Research, 32, 983-95.

1978

Dankner, S. R., A Mash, J., & Jampolsky, A.. (1978). Intentional surgical overcorrection of acquired esotropia. Archives Of Ophthalmology, 96, 1848–1852.