53 citations
- University of Chinese Academy of SciencesCN6 papers
- Chinese Academy of SciencesCN5 papers
- Huawei Technologies (China)CN5 papers
- Institute of Computing TechnologyCN4 papers
- Peking UniversityCN3 papers
- Peng Cheng LaboratoryCN3 papers
- Australian National UniversityAU1 paper
- City University of Hong KongHK1 paper
- Harbin Institute of TechnologyCN1 paper
- Institute of Psychology, Chinese Academy of SciencesCN1 paper
- Johns Hopkins UniversityUS1 paper
- Macau University of Science and TechnologyMO1 paper
5 papers · 1 filter
Label Decoupling Framework for Salient Object Detection
Jun Wei, Shuhui Wang, Zhe Wu +3
To get more accurate saliency maps, recent methods mainly focus on aggregating multi-level features from fully convolutional network (FCN) and introducing edge information as auxil…
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation
Baoliang Chen, Haoliang Li, Hongfei Fan +1
In this paper, we quest the capability of transferring the quality of natural scene images to the images that are not acquired by optical cameras (e.g., screen content images, SCIs…
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
Bei Li, Hui Liu, Ziyang Wang +5
In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigat…
Correlating Edge, Pose with Parsing
Ziwei Zhang, Chi Su, Liang Zheng +1
According to existing studies, human body edge and pose are two beneficial factors to human parsing. The effectiveness of each of the high-level features (edge and pose) is confirm…
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Shuhao Cui, Shuhui Wang, Junbao Zhuo +3
In unsupervised domain adaptation, rich domain-specific characteristics bring great challenge to learn domain-invariant representations. However, domain discrepancy is considered t…