2025
Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
CVPR 2025poster
Accurate 3D gaze estimation in unconstrained real-world environments remains a significant challenge due to variations in appearance, head pose, occlusion, and the limited availability of in-the-wild 3D gaze datasets. To address these challenges, we introduce a novel Self-Training Weakly-Supervised…