68 citations · 157 across the 12 of their papers we have counts for
23 papers
Efficient Mirror Detection via Multi-level Heterogeneous Learning
Ruozhen He, Jiaying Lin, Rynson W. H. Lau
We present HetNet (Multi-level \textbf{Het}erogeneous \textbf{Net}work), a highly efficient mirror detection network. Current mirror detection methods focus more on performance tha…
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…
Bi-directional Object-context Prioritization Learning for Saliency Ranking
Xin Tian, Ke Xu, Xin Yang +3
The saliency ranking task is recently proposed to study the visual behavior that humans would typically shift their attention over different objects of a scene based on their degre…
MODNet-V: Improving Portrait Video Matting via Background Restoration
Jiayu Sun, Zhanghan Ke, Lihe Zhang +2
To address the challenging portrait video matting problem more precisely, existing works typically apply some matting priors that require additional user efforts to obtain, such as…
Smart Scribbles for Image Mating
Xin Yang, Yu Qiao, Shaozhe Chen +5
Image matting is an ill-posed problem that usually requires additional user input, such as trimaps or scribbles. Drawing a fne trimap requires a large amount of user effort, while…
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation
Xin Yang, Zongliang Ma, Letian Yu +5
In this paper, we propose a fully automatic system for generating comic books from videos without any human intervention. Given an input video along with its subtitles, our approac…