3 papers
cs.CV2026
Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
Qida Tan, Hongyu Yang, Wenchao Du
Appearance-based gaze estimation always suffers from poor generalization due to limited annotated samples and insufficient dataset diversity. Leading approaches adopt weakly superv…
cs.CV2026
Progressively Texture-Aware Diffusion for Contrast-Enhanced Sparse-View CT
Tianqi Wang, Wenchao Du, Hongyu Yang
Diffusion-based sparse-view CT (SVCT) imaging has achieved remarkable advancements in recent years, thanks to its more stable generative capability. However, recovering reliable im…
cs.CV2025
Hybrid-Domain Adaptative Representation Learning for Gaze Estimation
Qida Tan, Hongyu Yang, Wenchao Du
Appearance-based gaze estimation, aiming to predict accurate 3D gaze direction from a single facial image, has made promising progress in recent years. However, most methods suffer…