1 citations · 2 across the 5 of their papers we have counts for
5 papers
Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain Adaptation
Xin Yang, Michael Bi Mi, Yuan Yuan +2
Most existing domain adaptation (DA) methods align the features based on the domain feature distributions and ignore aspects related to fog, background and target objects, renderin…
Explore Contextual Information for 3D Scene Graph Generation
Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang +4
3D scene graph generation (SGG) has been of high interest in computer vision. Although the accuracy of 3D SGG on coarse classification and single relation label has been gradually…
Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting
Yu Qiao, Ziqi Wei, Yuhao Liu +4
This paper reviews recent deep-learning-based matting research and conceives our wider and higher motivation for image matting. Many approaches achieve alpha mattes with complex en…
Hierarchical and Progressive Image Matting
Yu Qiao, Yuhao Liu, Ziqi Wei +4
Most matting researches resort to advanced semantics to achieve high-quality alpha mattes, and direct low-level features combination is usually explored to complement alpha details…
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma
Zexi Huang, Lihua Guo, Xin Yang +1
Nasopharyngeal carcinoma (NPC) is a kind of malignant tumor. Accurate and automatic segmentation of organs at risk (OAR) of computed tomography (CT) images is clinically significan…