421 citations
- University of Chinese Academy of SciencesCN36 papers
- Chinese Academy of SciencesCN26 papers
- Institute of AutomationCN22 papers
- Beijing Academy of Artificial IntelligenceCN12 papers
- Shandong Institute of AutomationCN8 papers
- Institute of Computing TechnologyCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Peking UniversityCN2 papers
- Peng Cheng LaboratoryCN2 papers
- Tongji UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- Aerospace Information Research InstituteCN1 paper
6 papers · 1 filter
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT
Yining Wang, Long Zhou, Jiajun Zhang +1
Neural machine translation (NMT), a new approach to machine translation, has been proved to outperform conventional statistical machine translation (SMT) across a variety of langua…
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
Dangwei Li, Xiaotang Chen, Zhang Zhang +1
Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background…
Look-ahead Attention for Generation in Neural Machine Translation
Long Zhou, Jiajun Zhang, Chengqing Zong
The attention model has become a standard component in neural machine translation (NMT) and it guides translation process by selectively focusing on parts of the source sentence wh…
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition
Ran He, Xiang Wu, Zhenan Sun +1
Heterogeneous face recognition (HFR) aims to match facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial…
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Hu Han, Anil K. Jain, Fang Wang +2
Face attribute estimation has many potential applications in video surveillance, face retrieval, and social media. While a number of methods have been proposed for face attribute e…
Self-Taught Convolutional Neural Networks for Short Text Clustering
Jiaming Xu, Bo Xu, Peng Wang +3
Short text clustering is a challenging problem due to its sparseness of text representation. Here we propose a flexible Self-Taught Convolutional neural network framework for Short…