Multi-label image classification is of significant interest due to its major role in real-world web image analysis applications such as large-scale image retrieval and browsing. Recently, matrix completion (MC) has been developed to deal with multi-label classification tasks. MC has distinct advantages, such as robustness to missing entries in the feature and label spaces and a natural ability ...

 This work was supported by the NSFC-Guangdong Joint Foundation Key Project (Grant No. U1135003), the National Natural Science Foundation of China (Grant No.60773043, 61070227) and the Foundation for Key Program of Ministry of Education of China (No. 309017). Abstract – Exemplar-based image inpainting techniques face two main problems. One is the decision of filling-in order which has a strong...

High-resolution depth map can be inferred from a lowresolution one with the guidance of an additional highresolution texture map of the same scene. Recently, deep neural networks with large receptive fields are shown to benefit applications such as image completion. Our insight is that super resolution is similar to image completion, where only parts of the depth values are precisely known. In ...

Abstract Natural images, textures and photographs are likely to be impaired by stains.  As a result a substantial portion of the image remains blurred. However, a method called region completion is adopted to fill in the tainted part by using the information from the portion left unblemished by stains. A novel method to perform this operation is proposed in this paper. The three significant sta...