1 code implementation • 7 Mar 2024 • Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang, Yoichi Sato
These two stereo constraints are used in a complementary manner to generate pseudo-labels, allowing reliable adaptation.
1 code implementation • 25 Dec 2023 • Ruicong Liu, Feng Lu
To address these challenges, we propose a novel 1-view-to-2-views (1-to-2 views) adaptation solution in this paper, the Unsupervised 1-to-2 Views Adaptation framework for Gaze estimation (UVAGaze).
no code implementations • 5 Oct 2022 • Ruicong Liu, Yiwei Bao, Mingjie Xu, Haofei Wang, Yunfei Liu, Feng Lu
We evaluate the proposed method on four cross-domain gaze estimation tasks, and experimental results demonstrate that it significantly reduces the gaze jitter and improves the gaze estimation performance in target domains.
1 code implementation • ICCV 2021 • Yunfei Liu, Ruicong Liu, Haofei Wang, Feng Lu
Deep neural networks have significantly improved appearance-based gaze estimation accuracy.