Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery

Author:

Zhang Xucong1,Sugano Yusuke2,Bulling Andreas3

Affiliation:

1. Max Planck Institute for Informatics & Saarland Informatics Campus, Saarbrücken, Saarland, Germany

2. Osaka University, Osaka, Japan

3. Max Planck Institute for Informatics & Saarland Informatics Campus, Saarbrücken, Germany

Funder

JST CREST

EXC-MMCI at Saarland University

Publisher

ACM

Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-01

2. Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture;Data Mining and Knowledge Discovery;2023-12-29

3. Accelerating Knowledge Transfer by Sensing and Actuating Social-Cognitive States;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

4. Searching Efficient Neural Architecture with Multi-resolution Fusion Transformer for Appearance-based Gaze Estimation;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

5. ‘Labelling the Gaps’: A Weakly Supervised Automatic Eye Gaze Estimation;Computer Vision – ACCV 2022;2023

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