UGENet: Learning Discriminative Embeddings for Unconstrained Gaze Estimation Network via Self-Attention Mechanism in Human-Computer Interaction-Reference-Cited by-同舟云学术

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UGENet: Learning Discriminative Embeddings for Unconstrained Gaze Estimation Network via Self-Attention Mechanism in Human-Computer Interaction

Published:2024-04-26 Issue: Volume:14 Page:1-6
ISSN:
Container-title:Proceedings of the 5th International Conference on Computer Information and Big Data Applications
language:
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Author:

Liu Hai¹^ORCID,Song Yu¹^ORCID,Liu Tingting¹^ORCID,Ju Jianping¹^ORCID,Tang Jianying¹^ORCID

Affiliation:

1. School of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3671151.3671152

Reference24 articles.

1. SLAM-Based Multistate Tracking System for Mobile Human-Robot Interaction

2. D. Strazdas, J. Hintz, A. Khalifa and A. Al-Hamadi, " RoSA: concept for an intuitive multi-modal and multi-device interaction system," ICHMS, Magdeburg, Germany, 2021, pp. 1-4.

3. X. Zhang, Y. Sugano, M. Fritz and A. Bulling, "Appearance-based gaze estimation in the wild," 2015 IEEE CVPR, Boston, 2015, pp. 4511-4520.

4. M. L R D and P. Biswas, "Appearance-based Gaze Estimation using Attention and Difference Mechanism," 2021 CVPRW, Nashville, TN, USA, 2021, pp. 3137-3146.

5. A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

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