Lee Stephan Stearns

According to our database, Lee Stephan Stearns authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Handsight: DeCAF & Improved Fisher Vectors to Classify Clothing Color and Texture With a Finger-Mounted Camera.

Alexander J. Medeiros, Lee Stearns, Jon E. Froehlich

Adv. Artif. Intell. Mach. Learn., 2023

2022

Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract).

Aristidis Dernelakis, Jungin Kim, Kevin Velasquez, Lee Stearns

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Active Sensing Testbed.

Lee Stearns, Neil Fendley, Ashley J. Llorens

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

HandSight: A Touch-Based Wearable System to Increase Information Accessibility for People with Visual Impairments.

Lee Stephan Stearns

PhD thesis, 2018

Automated Person Detection in Dynamic Scenes to Assist People with Vision Impairments: An Initial Investigation.

Lee Stearns, Anja Thieme

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

Applying Transfer Learning to Recognize Clothing Patterns Using a Finger-Mounted Camera.

Lee Stearns, Leah Findlater, Jon E. Froehlich

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

Design of an Augmented Reality Magnification Aid for Low Vision Users.

Lee Stearns, Leah Findlater, Jon E. Froehlich

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

2017

TouchCam: Realtime Recognition of Location-Specific On-Body Gestures to Support Users with Visual Impairments.

Lee Stearns, Uran Oh, Leah Findlater, Jon E. Froehlich

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Augmented Reality Magnification for Low Vision Users with the Microsoft Hololens and a Finger-Worn Camera.

Lee Stearns, Victor DeSouza, Jessica Yin, Leah Findlater, Jon E. Froehlich

Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017

Investigating Microinteractions for People with Visual Impairments and the Potential Role of On-Body Interaction.

Uran Oh, Lee Stearns, Alisha Pradhan, Jon E. Froehlich, Leah Findlater

Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017

Recognizing Clothing Colors and Visual Textures Using a Finger-Mounted Camera: An Initial Investigation.

Alexander J. Medeiros, Lee Stearns, Leah Findlater, Chuan Chen, Jon E. Froehlich

Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017

2016

Evaluating Haptic and Auditory Directional Guidance to Assist Blind People in Reading Printed Text Using Finger-Mounted Cameras.

Lee Stearns, Ruofei Du, Uran Oh, Catherine Jou, Leah Findlater, David Ross, Jon E. Froehlich

ACM Trans. Access. Comput., 2016

Localization of skin features on the hand and wrist from small image patches.

Lee Stearns, Uran Oh, Bridget J. Cheng, Leah Findlater, David Ross, Rama Chellappa, Jon E. Froehlich

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Evaluating Angular Accuracy of Wrist-based Haptic Directional Guidance for Hand Movement.

Jonggi Hong, Lee Stearns, Jon Froehlich, David Ross, Leah Findlater

Proceedings of the 42nd Graphics Interface Conference, Victoria, BC, Canada, 1-3 June 2016, 2016

2015

Supporting Everyday Activities for Persons with Visual Impairments Through Computer Vision-Augmented Touch.

Leah Findlater, Lee Stearns, Ruofei Du, Uran Oh, David Ross, Rama Chellappa, Jon Froehlich

Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, 2015

2014

The Design and Preliminary Evaluation of a Finger-Mounted Camera and Feedback System to Enable Reading of Printed Text for the Blind.

Lee Stearns, Ruofei Du, Uran Oh, Yumeng Wang, Leah Findlater, Rama Chellappa, Jon E. Froehlich

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014