MAC-Gaze uses IMU-based motion detection and replay-based continual learning to automatically recalibrate mobile gaze trackers, reducing gaze estimation error by 19.9% on RGBDGaze and 31.7% on MotionGaze.
Learning gaze-aware compositional gan from limited annotations.Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, 2 (2024), 1–17
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.HC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MAC-Gaze: Motion-Aware Continual Calibration for Mobile Gaze Tracking
MAC-Gaze uses IMU-based motion detection and replay-based continual learning to automatically recalibrate mobile gaze trackers, reducing gaze estimation error by 19.9% on RGBDGaze and 31.7% on MotionGaze.