Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Computer Vision and Pattern Recognition — 12 papers
• Generative Adversarial Networks and Image Synthesis — 6 papers
• Cryptography and Security — 2 papers
• Biometric Identification and Security — 1 papers
• Face recognition and analysis — 1 papers
• Misinformation and Its Impacts — 1 papers
• Multimedia — 1 papers
• Digital Media Forensic Detection — 1 papers

Highest-Cited Papers

1. IMFD: End-to-end Multi-Face Forgery Detection through Instruction-based Large Vision-Language Models
2. Face presentation attack detection via content-adaptive spatial operators
3. Generalizable Face Forgery Detection via Separable Prompt Learning
4. Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
5. LGF-Net: a spatial-frequency deepfake detection network with learnable gabor filters and gated cross-modal Fusion
6. MARE: Multimodal Alignment and Reinforcement for Explainable Deepfake Detection via Vision-Language Models
7. Bioinspired Adaptive-Depth Neural Growth for Deepfake Video Forensics: An Entropy-Guided State-Space Framework
8. A YOLO enhanced deep learning model for efficient and scalable deepfake detection for real-time facial forgery recognition in digital media
9. An Improved Deepfake Detection Approach Using Hybrid Architecture Based on EfficientNet and Vision Transformer
10. CMAS: A Cross-Modal Attribution Score for Modality-Level Explanation Evaluation in Audio-Visual Deepfake Detection
11. CMAS: A Cross-Modal Attribution Score for Modality-Level Explanation Evaluation in Audio-Visual Deepfake Detection
12. Deepfake recognition via cascaded neuro-fuzzy learning and parallel convolutional harmonic networks
13. Harnessing CLIP and DINO: An Uncertainty-Aware Cascaded Fusion Network for Generalizable Deepfake Image Detection
14. Preserving Knowledge across Space and Time for Continual Video Deepfake Detection
15. Generalizable Deepfake Detection via Frequency-Domain Enhancement and Feature Disentanglement
16. Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification
17. Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation
18. Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics
19. Identity-Aware Vision-Language Model for Explainable Face Forgery Detection
20. Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection