Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models
Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …
systems, enabling the temporal or spatial identification of anomalous events within videos …
Appearance-based gaze estimation with deep learning: A review and benchmark
Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …
crucial area of research. Recently, deep learning has revolutionized appearance-based …
Dvgaze: Dual-view gaze estimation
Gaze estimation methods estimate gaze from facial appearance with a single camera.
However, due to the limited view of a single camera, the captured facial appearance cannot …
However, due to the limited view of a single camera, the captured facial appearance cannot …
Generalizing gaze estimation with rotation consistency
Recent advances of deep learning-based approaches have achieved remarkable
performance on appearance-based gaze estimation. However, due to the shortage of target …
performance on appearance-based gaze estimation. However, due to the shortage of target …
In the eye of the beholder: A survey of gaze tracking techniques
J Liu, J Chi, H Yang, X Yin - Pattern Recognition, 2022 - Elsevier
Gaze tracking estimates and tracks the user's gaze by analyzing facial or eye features, it is
an important way to realize automated vision-based interaction. This paper introduces the …
an important way to realize automated vision-based interaction. This paper introduces the …
Automatic gaze analysis: A survey of deep learning based approaches
Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …
Sparse-gan: Sparsity-constrained generative adversarial network for anomaly detection in retinal oct image
With the development of convolutional neural network, deep learning has shown its success
for retinal disease detection from optical coherence tomography (OCT) images. However …
for retinal disease detection from optical coherence tomography (OCT) images. However …
An end-to-end review of gaze estimation and its interactive applications on handheld mobile devices
In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …
handheld mobile devices which utilise gaze as a single or complementary interaction …
Multimedia intelligence: When multimedia meets artificial intelligence
Owing to the rich emerging multimedia applications and services in the past decade, super
large amount of multimedia data has been produced for the purpose of advanced research …
large amount of multimedia data has been produced for the purpose of advanced research …
Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles
The mutual understanding between driver and vehicle is critical to the realization of
intelligent vehicles and customized interaction interface. In this study, a unified driver …
intelligent vehicles and customized interaction interface. In this study, a unified driver …