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.
–arXiv.org Artificial Intelligence
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. W e 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.
arXiv.org Artificial Intelligence
Apr-28-2025
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