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Event-Based Eye Tracking. 2025 Event-based Vision Workshop

Fuente: arXiv

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Hauptverfasser:	Chen, Qinyu, Gao, Chang, Liu, Min, Perrone, Daniele, Pei, Yan Ru, Wang, Zuowen, Zou, Zhuo, Tan, Shihang, Han, Tao, Lu, Guorui, Xu, Zhen, Ding, Junyuan, Wang, Ziteng, Wu, Zongwei, Han, Han, Wu, Yuliang, Chen, Jinze, Zhai, Wei, Cao, Yang, Zha, Zheng-jun, Bandara, Nuwan, Kandappu, Thivya, Misra, Archan, Lin, Xiaopeng, Huang, Hongxiang, Ren, Hongwei, Cheng, Bojun, Truong, Hoang M., Ly, Vinh-Thuan, Tran, Huy G., Nguyen, Thuan-Phat, Doan, Tram T.
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
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_version_	1866913807547236352
author	Chen, Qinyu Gao, Chang Liu, Min Perrone, Daniele Pei, Yan Ru Wang, Zuowen Zou, Zhuo Tan, Shihang Han, Tao Lu, Guorui Xu, Zhen Ding, Junyuan Wang, Ziteng Wu, Zongwei Han, Han Wu, Yuliang Chen, Jinze Zhai, Wei Cao, Yang Zha, Zheng-jun Bandara, Nuwan Kandappu, Thivya Misra, Archan Lin, Xiaopeng Huang, Hongxiang Ren, Hongwei Cheng, Bojun Truong, Hoang M. Ly, Vinh-Thuan Tran, Huy G. Nguyen, Thuan-Phat Doan, Tram T.
author_facet	Chen, Qinyu Gao, Chang Liu, Min Perrone, Daniele Pei, Yan Ru Wang, Zuowen Zou, Zhuo Tan, Shihang Han, Tao Lu, Guorui Xu, Zhen Ding, Junyuan Wang, Ziteng Wu, Zongwei Han, Han Wu, Yuliang Chen, Jinze Zhai, Wei Cao, Yang Zha, Zheng-jun Bandara, Nuwan Kandappu, Thivya Misra, Archan Lin, Xiaopeng Huang, Hongxiang Ren, Hongwei Cheng, Bojun Truong, Hoang M. Ly, Vinh-Thuan Tran, Huy G. Nguyen, Thuan-Phat Doan, Tram T.
contents	This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop. This challenge focuses on the task of predicting the pupil center by processing event camera recorded eye movement. We review and summarize the innovative methods from teams rank the top in the challenge to advance future event-based eye tracking research. In each method, accuracy, model size, and number of operations are reported. In this survey, we also discuss event-based eye tracking from the perspective of hardware design.
format	Preprint
id	arxiv_https___arxiv_org_abs_2504_18249
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Event-Based Eye Tracking. 2025 Event-based Vision Workshop Chen, Qinyu Gao, Chang Liu, Min Perrone, Daniele Pei, Yan Ru Wang, Zuowen Zou, Zhuo Tan, Shihang Han, Tao Lu, Guorui Xu, Zhen Ding, Junyuan Wang, Ziteng Wu, Zongwei Han, Han Wu, Yuliang Chen, Jinze Zhai, Wei Cao, Yang Zha, Zheng-jun Bandara, Nuwan Kandappu, Thivya Misra, Archan Lin, Xiaopeng Huang, Hongxiang Ren, Hongwei Cheng, Bojun Truong, Hoang M. Ly, Vinh-Thuan Tran, Huy G. Nguyen, Thuan-Phat Doan, Tram T. Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop. This challenge focuses on the task of predicting the pupil center by processing event camera recorded eye movement. We review and summarize the innovative methods from teams rank the top in the challenge to advance future event-based eye tracking research. In each method, accuracy, model size, and number of operations are reported. In this survey, we also discuss event-based eye tracking from the perspective of hardware design.
title	Event-Based Eye Tracking. 2025 Event-based Vision Workshop
topic	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
url	https://arxiv.org/abs/2504.18249