Wang, Zhongyuan

Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection

Li, J., Xie, H., Li, J., Wang, Z., & Zhang, Y. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 357

Towards a new generation of artificial intelligence in China

Wu, F., Lu, C., Zhu, M., Chen, H., Zhu, J., Yu, K., Li, L., Li, M., Chen, Q., Li, X., et al. (2020) · Nature Machine Intelligence

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 287

Depth map guided triplet network for deepfake face detection

Liang, B., Wang, Z., Huang, B., Zou, Q., Wang, Q., & Liang, J. (2023) · Neural Networks

Digital Media Forensic DetectionFace recognition and analysis

Cited by 54

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

Zhang, J., Wang, K., Wang, S., Li, M., Liu, H., Wei, S., Wang, Z., Zhang, Z., & Wang, H. (2025) · Robotics: Science and Systems XXI

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 45

KwaiAgents: Generalized Information-seeking Agent System with Large Language Models

Pan, H., Zhai, Z., Yuan, H., Lv, Y., Fu, R., Liu, M., Wang, Z., & Qin, B. (2023) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1