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Found 3 papers, 3 papers with code
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation
Additionally, our approach integrates Gaussian processes to include individual-specific traits, facilitating the personalization of our model with just a few labeled samples.
Contrastive Representation Learning for Gaze Estimation
Notably, SSL exploits contrastive learning to encourage visual representations to be invariant under various image transformations.
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head Redirection
However, adopting such generative models to new domains while maintaining their ability to provide fine-grained control over different image attributes, \eg, gaze and head pose directions, has been a challenging problem.
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