most citedFrame-Recurrent Video Inpainting by Robust Optical Flow Inference

14 citations · 32 across the 4 of their papers we have counts for

collaborators

10 papers

cs.CV20208 cited

OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning

Kunming Luo, Chuan Wang, Nianjin Ye +2

Occlusion is an inevitable and critical problem in unsupervised optical flow learning. Existing methods either treat occlusions equally as non-occluded regions or simply remove the…

cs.CV201910 cited

DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration

Nianjin Ye, Chuan Wang, Shuaicheng Liu +3

Image alignment by mesh warps, such as meshflow, is a fundamental task which has been widely applied in various vision applications(e.g., multi-frame HDR/denoising, video stabiliza…

cs.CV2019

Disentangled Image Matting

Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan +6

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.…

cs.CV2019

Content-Aware Unsupervised Deep Homography Estimation

Jirong Zhang, Chuan Wang, Shuaicheng Liu +5

Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low…

cs.CV2019

Semi-supervised Skin Detection by Network with Mutual Guidance

Yi He, Jiayuan Shi, Chuan Wang +5

In this paper we present a new data-driven method for robust skin detection from a single human portrait image. Unlike previous methods, we incorporate human body as a weak semanti…

cs.CV201914 cited

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

Yifan Ding, Chuan Wang, Haibin Huang +3

In this paper, we present a new inpainting framework for recovering missing regions of video frames. Compared with image inpainting, performing this task on video presents new chal…