Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models

Y Liu, D Yang, Y Wang, J Liu, J Liu… - ACM Computing …, 2024 - dl.acm.org
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 …

Appearance-based gaze estimation with deep learning: A review and benchmark

Y Cheng, H Wang, Y Bao, F Lu - IEEE Transactions on Pattern …, 2024 - ieeexplore.ieee.org
Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Dvgaze: Dual-view gaze estimation

Y Cheng, F Lu - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
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 …

Generalizing gaze estimation with rotation consistency

Y Bao, Y Liu, H Wang, F Lu - Proceedings of the IEEE/CVF …, 2022 - openaccess.thecvf.com
Recent advances of deep learning-based approaches have achieved remarkable
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 …

Automatic gaze analysis: A survey of deep learning based approaches

S Ghosh, A Dhall, M Hayat, J Knibbe… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Sparse-gan: Sparsity-constrained generative adversarial network for anomaly detection in retinal oct image

K Zhou, S Gao, J Cheng, Z Gu, H Fu… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
With the development of convolutional neural network, deep learning has shown its success
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

Y Lei, S He, M Khamis, J Ye - ACM Computing Surveys, 2023 - dl.acm.org
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 …

Multimedia intelligence: When multimedia meets artificial intelligence

W Zhu, X Wang, W Gao - IEEE Transactions on Multimedia, 2020 - ieeexplore.ieee.org
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 …

Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles

Y Xing, C Lv, D Cao, E Velenis - Transportation research part C: emerging …, 2021 - Elsevier
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 …