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[bibtex]@InProceedings{Chen_2025_CVPR, author = {Chen, Qinyu and Gao, Chang and Liu, Min and Perrone, Daniele and Pei, Yan Ru and Wang, Zuowen and Zou, Zhuo and Tan, Shihang and Han, Tao and Lu, Guorui and Zhen, Xu and Ding, Junyuan and Wang, Ziteng and Wu, Zongwei and Han, Han and Wu, Yuliang and Chen, Jinze and Zhai, Wei and Cao, Yang and Zha, Zheng-jun and Bandara, Nuwan and Kandappu, Thivya and Misra, Archan and Lin, Xiaopeng and Huang, Hongxiang and Ren, Hongwei and Cheng, Bojun and Truong, Hoang M. and Ly, Vinh-Thuan and Tran, Huy G. and Nguyen, Thuan-Phat and Doan, Tram T.}, title = {Event-based eye tracking. Even-based Vision Workshop 2025}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {5164-5176} }
Event-based eye tracking. Even-based Vision Workshop 2025
Abstract
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.
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