5 papers
What to Distinguish and How? Opportunities and Challenges of Augmenting Multiple, Cluttered Objects in Complex Scenes for People with Low Vision
Yuheng Wu, Ruijia Chen, Jaewook Lee +8
People with low vision (PLV) struggle to perceive complex scenes like busy kitchens and crowded streets, which contain many objects, visual clutter, and dynamic elements. Prior AR…
How Much Future Helps? A Controlled Study of Future-Privileged Supervision for Causal Egocentric Gaze Estimation
Jia Li, Wenjie Zhao, Fnu Atisri +5
Egocentric gaze estimation is commonly studied using models that process the full video with access to future frames, while real-world applications require strictly causal, online…
ARGaze: Autoregressive Transformers for Online Egocentric Gaze Estimation
Jia Li, Wenjie Zhao, Shijian Deng +6
Online egocentric gaze estimation predicts where a camera wearer is looking from first-person video using only past and current frames, a task essential for augmented reality and a…
Making Urban Art Accessible: Current Art Access Techniques, Design Considerations, and the Role of AI
Lucy Jiang, Jon E. Froehlich, Leah Findlater
Public artwork, from vibrant wall murals to captivating sculptures, can enhance the aesthetic of urban spaces, foster a sense of community and cultural identity, and help attract v…
HandSight: DeCAF & Improved Fisher Vectors to Classify Clothing Color and Texture with a Finger-Mounted Camera
Alexander J. Medeiros, Lee Stearns, Jon E. Froehlich
We demonstrate the use of DeCAF and Improved Fisher Vector image features to classify clothing texture. The issue of choosing clothes is a problem for the blind every day. This wor…