Results 81 to 90 of about 71,031 (175)
Gaze estimation significantly enhances user interfaces, road safety, accessibility for the disabled, and consumer behavior analysis. Traditional methods depend on high-resolution images and ideal conditions, neglecting low-resolution scenarios.
Jin Wang, Ke Wang, Shuoyu Cao
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When Computer Vision Gazes at Cognition [PDF]
Joint attention is a core, early-developing form of social interaction. It is based on our ability to discriminate the third party objects that other people are looking at.
Gao, Tao +3 more
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Gaze estimation plays a crucial role in human-computer interaction and behavior analysis. However, in dynamic scenes, rigid head movements and rapid gaze shifts pose significant challenges to accurate gaze prediction. Most existing methods either process
Wei Zhang, Pengcheng Li
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In the realm of robot autonomous navigation and human-robot interaction, human gaze information offers subtle yet rich clues. Enabling robots to access human gaze information allows them to predict human intentions or goals, thereby enhancing the human ...
Jialin Tu +2 more
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Gaze Point Estimation via Joint Learning of Facial Features and Screen Projection
In recent years, gaze estimation has received a lot of interest in areas including human–computer interface, virtual reality, and user engagement analysis.
Yuying Zhang, Fei Xu, Yi Yang
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Gaze estimation in videoconferencing settings
Inka Schmitz, Wolfgang Einhäuser
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Landmark-Guided Gaze Estimation via Conditional Keypoint Generation and Cross-Attention Fusion
In gaze estimation, existing mainstream methods face significant challenges in capturing the fine-grained structures of eye regions, particularly in the absence of explicit geometric prior information, which hampers gaze prediction accuracy.
Guanghui Xu +6 more
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Unconstrained and Calibration-Free Gaze Estimation in a Room-Scale Area Using a Monocular Camera
Gaze estimation using monocular cameras has significant commercial applicability, and many studies have been undertaken on head pose-invariant and calibration-free gaze estimation.
Kimimasa Tamura +2 more
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Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement
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 the within-domain task, the variance of different domains makes the cross-
Jiawei Qin +3 more
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Optimizing Within-Domain Gaze Estimation: Insights From a Novel Appearance-Based 2D Model
Appearance-based gaze estimation has emerged as a promising alternative to traditional model-based methods, effectively addressing their limitations in terms of flexibility, cost, and adaptability to unconstrained environments. In this study, the Digital
Sardor Abdirayimov Odil Ugli +9 more
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