22 citations · 28 across the 4 of their papers we have counts for
4 papers
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
Pratyaksh Prabhav Rao, Feng Qiao, Weide Zhang +4
Accurate segmentation of power lines in aerial images is essential to ensure the flight safety of aerial vehicles. Acquiring high-quality ground truth annotations for training a de…
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…
Large-Field Contextual Feature Learning for Glass Detection
Haiyang Mei, Xin Yang, Letian Yu +3
Glass is very common in our daily life. Existing computer vision systems neglect it and thus may have severe consequences, e.g., a robot may crash into a glass wall. However, sensi…