181 citations · 247 across the 17 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.GR2019★ 10 cited
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling
Yi-Ling Qiao, Lin Gao, Jie Yang +3
3D models are commonly used in computer vision and graphics. With the wider availability of mesh data, an efficient and intrinsic deep learning approach to processing 3D meshes is…
cs.CV2019★ 5 cited
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Yinglong Wang, Dong Gong, Jie Yang +4
Removing rain effects from an image is of importance for various applications such as autonomous driving, drone piloting, and photo editing. Conventional methods rely on some heuri…