FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework-Reference-Cited by-同舟云学术

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FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Ding Ye¹,Lu Li²,Liu Ziyuan²,Wu Songjie¹,Liao Qing³

Affiliation:

1. School of Cyberspace Security, Dongguan University of Technology,Dongguan,China

2. School of Computer Science and Technology, Dongguan University of Technology,Dongguan,China

3. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen),Shenzhen,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191966.pdf?arnumber=10191966

Reference28 articles.

1. Benefits of temporal information for appearance-based gaze estimation;cantarino;ACM Symposium on Eye Tracking Research and Applications,0

2. On-Device Few-Shot Personalization for Real-Time Gaze Estimation

3. MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

4. Dynamic 3D Gaze from Afar: Deep Gaze Estimation from Temporal Eye-Head-Body Coordination

5. TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets

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