专题:Face recognition and analysis

This cluster of papers focuses on various techniques for face recognition and analysis, including deep learning approaches, facial landmark detection, age estimation, 3D face reconstruction, facial expression analysis, and pose estimation. The papers cover topics such as metric learning, feature learning, and the application of convolutional neural networks to address challenges in face recognition.
最新文献
近5年高被引文献
Deepfakes and beyond: A Survey of face manipulation and fake detection

article Full Text OpenAlex 1143 FWCI64.2747

YOLOv10: Real-Time End-to-End Object Detection

conference-paper Full Text OpenAlex 1093 FWCI265.5564

Building Face Ageing Model Using Face Synthesis

article Full Text OpenAlex 737 FWCI119.1277

AdaFace: Quality Adaptive Margin for Face Recognition

conference-paper Full Text OpenAlex 558 FWCI44.4236

Pivotal Tuning for Latent-based Editing of Real Images

article Full Text OpenAlex 402 FWCI30.0327

YOLO-FaceV2: A scale and occlusion aware face detector

article Full Text OpenAlex 377 FWCI57.9557

End-to-End Reconstruction-Classification Learning for Face Forgery Detection

conference-paper Full Text OpenAlex 374 FWCI27.0029

AI-synthesized faces are indistinguishable from real faces and more trustworthy

article Full Text OpenAlex 372 FWCI23.7897

Multi-level Feature Learning for Contrastive Multi-view Clustering

conference-paper Full Text OpenAlex 370 FWCI28.8461

Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System

article Full Text OpenAlex 362 FWCI35.8288