1 citations · 1 across the 4 of their papers we have counts for
4 papers
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
Guanzhong Zeng, Jingjing Wang, Zefu Xu +4
Gaze estimation methods encounter significant performance deterioration when being evaluated across different domains, because of the domain gap between the testing and training da…
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation
Pengwei Yin, Jingjing Wang, Guanzhong Zeng +2
The ability of gaze estimation models to generalize is often significantly hindered by various factors unrelated to gaze, especially when the training dataset is limited. Current s…
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
Pengwei Yin, Guanzhong Zeng, Jingjing Wang +1
Gaze estimation methods often experience significant performance degradation when evaluated across different domains, due to the domain gap between the testing and training data. E…
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang +2
Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular due to its efficiency and convenience for practical applications. To achieve this, most previ…