Huiying Shen
Staff
Degrees: BS, Civil Engineering
MS, Civil and Environmental Engineering
PhD. Civil and Environmental Engineering
MS, Civil and Environmental Engineering
PhD. Civil and Environmental Engineering
Tabs
Journal Articles
. (2013). Crosswatch: a system for providing guidance to visually impaired travelers at traffic intersections. Journal Of Assistive Technologies, 7.
. (2010). An Embarrassingly Simple Speed-Up of Belief Propagation with Robust Potentials. Arxiv Preprint Arxiv:1010.0012.
. (2009). Staying in the crosswalk: A system for guiding visually impaired pedestrians at traffic intersections. Assistive Technology Research Series, 25, 69.
. (2008). A mobile phone system to find crosswalks for visually impaired pedestrians. Technology And Disability, 20, 217–224.
. (2007). Dynamic quantization for belief propagation in sparse spaces. Computer Vision And Image Understanding, 106, 47–58.
. (2006). Cell phone-based wayfinding for the visually impaired. 1St International Workshop On Mobile Vision.
. (2006). A fast algorithm for finding crosswalks using figure-ground segmentation. 2Nd Workshop On Applications Of Computer Vision, In Conjunction With Eccv, 5.
. (2005). Rapid and robust algorithms for detecting colour targets. 10Th Congress Of The International Colour Association, Aic Colour, 5, 959–962.
Conference Papers
. (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.
. (2014). Self-Localization at Street Intersections. In Computer and Robot Vision (CRV), 2014 Canadian Conference on (pp. 40–47). IEEE.
. (2013). CamIO: a 3D computer vision system enabling audio/haptic interaction with physical objects by blind users. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (p. 41). ACM.
. (2012). The crosswatch traffic intersection analyzer: a roadmap for the future. In Computers Helping People with Special Needs (pp. 25–28). Springer Berlin Heidelberg.
. (2011). Localizing blurry and low-resolution text in natural images. In Applications of Computer Vision (WACV), 2011 IEEE Workshop on (pp. 503–510). IEEE.
. (2011). Real-time detection and reading of LED/LCD displays for visually impaired persons. In Applications of Computer Vision (WACV), 2011 IEEE Workshop on (pp. 491–496). IEEE.
. (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.
. (2008). Computer vision-based clear path guidance for blind wheelchair users. In Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility (pp. 291–292). ACM.
. (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.
. (2006). Reading LCD/LED Displays with a Camera Cell Phone. In Computer Vision and Pattern Recognition Workshop, 2006. CVPRW'06. Conference on (pp. 119–119). IEEE.
. (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.
. (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.
Other Publications
. (2012). Towards a real-time system for finding and reading signs for visually impaired users. In Computers Helping People with Special Needs (pp. 41–47). Springer Berlin Heidelberg.
. (2010). Real-time walk light detection with a mobile phone. In Computers Helping People with Special Needs (pp. 229–234). Springer Berlin Heidelberg.
. (2007). Grouping using factor graphs: an approach for finding text with a camera phone. In Graph-Based Representations in Pattern Recognition (pp. 394–403). Springer Berlin Heidelberg.
. (2006). Computer vision-based terrain sensors for blind wheelchair users. In Computers Helping People with Special Needs (pp. 1294–1297). Springer Berlin Heidelberg.
Rehabilitation Engineering Research Center
The Center's research goal is to develop and apply new scientific knowledge and practical, cost-effective devices to understand and address better the real-world problems of blind, visually impaired, and deaf-blind consumers. The RERC has many ongoing R...
Colenbrander lab
To explore vision-related functioning as it relates to Vision Rehabilitation.
This involves the development of
= insights into vision-related functioning and complex vision-related behaviors,
as well as
= the...
Coughlan Lab
The goal of our laboratory is to develop and test assistive technology for blind and visually impaired persons that is enabled by computer vision and other sensor technologies.
CamIO
CamIO (short for “Camera Input-Output”) is a system to make physical objects (such as documents, maps, devices and 3D models) accessible to blind and visually impaired persons, by providing real-time audio feedback in response to the location on an object that the user is touching.
...
Display Reader
The goal of the Display Reader project is to develop a computer vision system that runs on smartphones and tablets to enable blind and visually impaired persons to read appliance displays. Such displays are found on an increasing array of appliances such as microwave ovens, thermostats and home...
Sign Finder
This project seeks to develop a computer vision-based system that allows a visually impaired traveler to find and read informational signs, such as signs labeling office doors, streets, restrooms and Exit signs.
Link to...
Crosswatch
Crosswatch is a smartphone-based system developed for providing real-time guidance to blind and visually impaired travelers at traffic intersections. Using the smartphone's built-in camera and other sensors, Crosswatch is designed to tell blind and visually impaired travelers what kind of...
Contact Information
2318 Fillmore Street
San Francisco, CA 94115
Room #
402
Email:
hshen@ski.org
Office Phone:
(415) 345-2141