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UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training
Jiawei Qin, Xucong Zhang, Yusuke Sugano
Despite decades of research on data collection and model architectures, current gaze estimation models encounter significant challenges in generalizing across diverse data domains.…
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
Jiawei Qin, Takuru Shimoyama, Xucong Zhang +1
Along with the recent development of deep neural networks, appearance-based gaze estimation has succeeded considerably when training and testing within the same domain. Compared to…
Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation
Yoichiro Hisadome, Tianyi Wu, Jiawei Qin +1
Appearance-based gaze estimation has been actively studied in recent years. However, its generalization performance for unseen head poses is still a significant limitation for exis…
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
Jiawei Qin, Takuru Shimoyama, Yusuke Sugano
Despite recent advances in appearance-based gaze estimation techniques, the need for training data that covers the target head pose and gaze distribution remains a crucial challeng…