LISA achieves state-of-the-art driver gaze estimation by integrating frequency-domain priors with language-guided spatial attention and disentangling gaze features from interference via CLIP and orthogonal regularization.
Vision-Guided Action: Enhancing 3d hu- man motion prediction with gaze-informed affordance in 3d scenes
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LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation
LISA achieves state-of-the-art driver gaze estimation by integrating frequency-domain priors with language-guided spatial attention and disentangling gaze features from interference via CLIP and orthogonal regularization.