210 citations
- Beijing University of Posts and TelecommunicationsCN7 papers
- Nanyang Technological UniversitySG2 papers
- Purple Mountain LaboratoriesCN2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Singapore University of Technology and DesignSG2 papers
- Southeast UniversityCN2 papers
- Tsinghua UniversityCN2 papers
- University of MacauMO2 papers
- American University of SharjahAE1 paper
- Beihang UniversityCN1 paper
- Beijing Jiaotong UniversityCN1 paper
- Central China Normal UniversityCN1 paper
Showing 2022Show all
3 papers · 1 filter
cs.CV2022★ 1 cited
Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
Jianfeng Huang, Chenyang Li, Yimin Lin +1
It is hard to collect enough flaw images for training deep learning network in industrial production. Therefore, existing industrial anomaly detection methods prefer to use CNN-bas…
cs.SD2022★ 4 cited
A Novel Speech-Driven Lip-Sync Model with CNN and LSTM
Xiaohong Li, Xiang Wang, Kai Wang +1
Generating synchronized and natural lip movement with speech is one of the most important tasks in creating realistic virtual characters. In this paper, we present a combined deep…
cs.CV2022★ 132 cited
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
In line with the development of Industry 4.0, surface defect detection/anomaly detection becomes a topical subject in the industry field. Improving efficiency as well as saving lab…