32 citations · 88 across the 5 of their papers we have counts for
9 papers
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…
Camouflaged Object Segmentation with Distraction Mining
Haiyang Mei, Ge-Peng Ji, Ziqi Wei +3
Camouflaged object segmentation (COS) aims to identify objects that are "perfectly" assimilate into their surroundings, which has a wide range of valuable applications. The key cha…
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…
Multi-scale Information Assembly for Image Matting
Yu Qiao, Yuhao Liu, Qiang Zhu +4
Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images. We argue that the foregrou…
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…
Where Is My Mirror?
Xin Yang, Haiyang Mei, Ke Xu +3
Mirrors are everywhere in our daily lives. Existing computer vision systems do not consider mirrors, and hence may get confused by the reflected content inside a mirror, resulting…