3 papers
cs.CV2026
HD-DinoMoE: A Class-Aware Hierarchical Dual Mixture-of-Experts Network for Scleral Anomaly Segmentation in Complex Acquisition Scenarios
Yinxiang Yu, Maoxiang Chu, Qi Niu +7
Traditional Chinese Medicine (TCM) ocular inspection provides empirical cues for assessing scleral surface anomalies, but its clinical use remains subjective and difficult to quant…
cs.CV2025
PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency
Haotian Wang, Aoran Xiao, Xiaoqin Zhang +2
Generalizable depth completion enables the acquisition of dense metric depth maps for unseen environments, offering robust perception capabilities for various downstream tasks. How…
cs.CV2024
Scale Propagation Network for Generalizable Depth Completion
Haotian Wang, Meng Yang, Xinhu Zheng +1
Depth completion, inferring dense depth maps from sparse measurements, is crucial for robust 3D perception. Although deep learning based methods have made tremendous progress in th…