3 papers
cs.HC2026
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 +9
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…
cs.CV2026
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…
cs.CV2026
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…