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Jia-Qi Liu

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#computer vision Preprint Jun 2026

Fusing Complementary Multi-view Features for Screen-Based Eye Tracking

Current multi-view gaze estimation remains limited by existing datasets, insufficient exploitation of complementary cross-view information, and evaluation focused primarily on average gaze error. We address these limitations through a more systematic study of multi-view gaze estimation. First, we introduce PrismGaze, a...

Chang Liu, Jia-Qi Liu, Cheng-Wen Zhang et al. · 1 citation

Jul 2026

PAGE: Towards Practical Human-level Gaze Target Estimation

The architectural improvements and novel training recipe allow PaGE to achieve state-of-the-art performance on several gaze estimation tasks, outperforming humans in 7 out of 9 metrics while reducing the human-AI gap by at least 60% in the remaining 2.

Zhou-Tong Ye, Cheng-Wen Zhang, Zhai-Bin Cui et al. · arXiv.org · 0 citations