Zobrazeno 1 - 10
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pro vyhledávání: '"Gaze estimation"'
The ability of gaze estimation models to generalize is often significantly hindered by various factors unrelated to gaze, especially when the training dataset is limited. Current strategies aim to address this challenge through different domain gener
Externí odkaz:
http://arxiv.org/abs/2411.08606
Achieving accurate and reliable gaze predictions in complex and diverse environments remains challenging. Fortunately, it is straightforward to access diverse gaze datasets in real-world applications. We discover that training these datasets jointly
Externí odkaz:
http://arxiv.org/abs/2409.04766
Autor:
Wu, Liang, Shi, Bertram E.
Multiple datasets have been created for training and testing appearance-based gaze estimators. Intuitively, more data should lead to better performance. However, combining datasets to train a single esti-mator rarely improves gaze estimation performa
Externí odkaz:
http://arxiv.org/abs/2409.00912
Gaze Target Detection (GTD), i.e., determining where a person is looking within a scene from an external viewpoint, is a challenging task, particularly in 3D space. Existing approaches heavily rely on analyzing the person's appearance, primarily focu
Externí odkaz:
http://arxiv.org/abs/2409.17886
Gaze is a crucial social cue in any interacting scenario and drives many mechanisms of social cognition (joint and shared attention, predicting human intention, coordination tasks). Gaze direction is an indication of social and emotional functions af
Externí odkaz:
http://arxiv.org/abs/2410.19374
The advent and growing popularity of Virtual Reality (VR) and Mixed Reality (MR) solutions have revolutionized the way we interact with digital platforms. The cutting-edge gaze-controlled typing methods, now prevalent in high-end models of these devi
Externí odkaz:
http://arxiv.org/abs/2409.08122
The availability of extensive datasets containing gaze information for each subject has significantly enhanced gaze estimation accuracy. However, the discrepancy between domains severely affects a model's performance explicitly trained for a particul
Externí odkaz:
http://arxiv.org/abs/2408.16964
Gaze estimation is pivotal in human scene comprehension tasks, particularly in medical diagnostic analysis. Eye-tracking technology facilitates the recording of physicians' ocular movements during image interpretation, thereby elucidating their visua
Externí odkaz:
http://arxiv.org/abs/2408.05502
We consider the problem of user-adaptive 3D gaze estimation. The performance of person-independent gaze estimation is limited due to interpersonal anatomical differences. Our goal is to provide a personalized gaze estimation model specifically adapte
Externí odkaz:
http://arxiv.org/abs/2406.09481
Gaze is an essential prompt for analyzing human behavior and attention. Recently, there has been an increasing interest in determining gaze direction from facial videos. However, video gaze estimation faces significant challenges, such as understandi
Externí odkaz:
http://arxiv.org/abs/2404.05215