Li, Bin

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Su, W., Zhu, X., Cao, Y., Li, B., Lu, L., Wei, F., & Dai, J. (2019) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 950

Defect Image Sample Generation With GAN for Improving Defect Recognition

Niu, S., Li, B., Wang, X., & Lin, H. (2020) · IEEE Transactions on Automation Science and Engineering

Industrial Vision Systems and Defect DetectionInfrastructure Maintenance and Monitoring

Cited by 251

Automated defect inspection of LED chip using deep convolutional neural network

Lin, H., Li, B., Wang, X., Shu, Y., & Niu, S. (2019) · Journal of Intelligent Manufacturing

Industrial Vision Systems and Defect DetectionAdvanced Neural Network Applications

Cited by 241

Dynamic Difference Learning With Spatio–Temporal Correlation for Deepfake Video Detection

Yin, Q., Lu, W., Li, B., & Huang, J. (2023) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 92

Long-term variable Q transform: A novel time-frequency transform algorithm for synthetic speech detection

Li, J., Wang, H., He, P., Abdullahi, S. M., & Li, B. (2022) · Digital Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 20

GM-DF: Generalized Multi-Scenario Deepfake Detection

Lai, Y., Wang, H., Yang, J., Kang, X., Li, B., Shen, L., & Yu, Z. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 15