9.2k citations · 16.2k across the 175 of their papers we have counts for
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Deep Identity-aware Transfer of Facial Attributes
Mu Li, Wangmeng Zuo, David Zhang
This paper presents a Deep convolutional network model for Identity-Aware Transfer (DIAT) of facial attributes. Given the source input image and the reference attribute, DIAT aims…
Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation
Mu Li, Wangmeng Zuo, David Zhang
This paper focuses on the problem of generating human face pictures from specific attributes. The existing CNN-based face generation models, however, either ignore the identity of…
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang, Wangmeng Zuo, Yunjin Chen +2
Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance. In this paper, we take one step f…
Deep Structured Scene Parsing by Learning with Image Descriptions
Liang Lin, Guangrun Wang, Rui Zhang +3
This paper addresses a fundamental problem of scene understanding: How to parse the scene image into a structured configuration (i.e., a semantic object hierarchy with object inter…
Learning Support Correlation Filters for Visual Tracking
Wangmeng Zuo, Xiaohe Wu, Liang Lin +2
Sampling and budgeting training examples are two essential factors in tracking algorithms based on support vector machines (SVMs) as a trade-off between accuracy and efficiency. Re…