Real-Time Sign Detection for Accessible Indoor Navigation. Journal On Technology And Persons With Disabilities, 9.. (2021).
A Tangible Block Editor for the Scratch Programming Language. In CHI 2021. ACM: Yokohama, Japan.. (2021).
Indoor Localization for Visually Impaired Travelers Using Computer Vision on a Smartphone. In 17th International Web for All Conference: Automation for Accessibility.. (2020).
An Indoor Navigation App using Computer Vision and Sign Recognition. In 17th International Conference on Computers Helping People with Special Needs.. (2020).
Modeling echo-target acquisition in blind humans. In Conference on Cognitive Computational Neuroscience.. (2019).
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.. (2018).
Smooth pursuit eye movements in patients with macular degeneration. Journal Of Vision, 16, 1.. (2016).
Towards a Sign-Based Indoor Navigation System for People with Visual Impairments. In 18th International ACM SIGACCESS Conference on Computers and Accessibility. ACM: Reno, NV.. (2016).
Appliance Displays: Accessibility Challenges and Proposed Solutions. In 17th International ACM SIGACCESS Conference on Computers and Accessibility. ACM: Lisbon, Portugal. http://doi.org/http://dx.doi.org/10.1145/2700648.2811392. (2015).
Determining a Blind Pedestrian’s Location and Orientation at Traffic Intersections. In Computers Helping People with Special Needs (pp. 427–432). Springer International Publishing.. (2014).
Self-Localization at Street Intersections. In Computer and Robot Vision (CRV), 2014 Canadian Conference on (pp. 40–47). IEEE.. (2014).
Structured multi-class feature selection with an application to face recognition. Pattern Recognition Letters.. (2014).
Structured multi-class feature selection for effective face recognition. In Image Analysis and Processing–ICIAP 2013 (pp. 410–419). Springer Berlin Heidelberg.. (2013).
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. In Computer-Based Medical Systems (CBMS), 2013 IEEE 26th International Symposium on (pp. 239–244). IEEE.. (2013).
Combining retrieval and classification for real-time face recognition. In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on (pp. 276–281). IEEE.. (2012).
Low-cost face biometry for visually impaired users. In Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2010 IEEE Workshop on (pp. 45–52). IEEE.. (2010).
A semi-automated method for the measurement of the fetal nuchal translucency in ultrasound images. In Image Analysis and Processing–ICIAP 2009 (pp. 613–622). Springer.. (2009).