13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Monocular Depth Guided Occlusion-Aware Disparity Refinement via Semi-supervised Learning in Laparoscopic Images
Ziteng Liu, Dongdong He, Chenghong Zhang +2
Occlusion and the scarcity of labeled surgical data are significant challenges in disparity estimation for stereo laparoscopic images. To address these issues, this study proposes…
eess.IV2024
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided Embedding
Ziteng Liu, Jiahua Zhu, Bainan Liu +3
This paper presents a novel method of smoke removal from the laparoscopic images. Due to the heterogeneous nature of surgical smoke, a two-stage network is proposed to estimate the…
cs.CV2019★ 13 cited
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
Sun Yu, Ye Yun, Liu Wu +3
We describe an end-to-end method for recovering 3D human body mesh from single images and monocular videos. Different from the existing methods try to obtain all the complex 3D pos…