collaborators

8 papers

cs.AI2026

From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection

Ke Liu, Jiwei Wei, Wenyu Zhang +5

With rapid advances in audio-visual generative models, reliable forgery detection becomes increasingly critical. Existing methods for audio-visual deepfake detection typically rely…

cs.CV2026

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection

Yutong Xiao, Ran Ran, Jiwei Wei +4

The rapid advancement of generative technologies has made synthetic images nearly indistinguishable from real ones, thereby creating an urgent need for robust detectors to counter…

cs.CV2026

MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding

Ran Ran, Jiwei Wei, Shuchang Zhou +5

Video Temporal Grounding (VTG) faces a cross-modal semantic gap that often leads to background features being incorrectly aligned with the query, while directly matching the query…

cs.CV2026

Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework

Ke Liu, Jiwei Wei, Shuchang Zhou +5

Supervised talking head forgery detection faces severe generalization challenges due to the continuous evolution of generators. By reducing reliance on generator-specific forgery p…

cs.CV2026

HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection

Shuchang Zhou, Kaiwen Shen, Jiwei Wei +3

The rapid evolution of generative models has enabled the creation of highly realistic and diverse synthetic images, posing significant challenges to reliable and generalizable Synt…

cs.CV2026

Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection

Shuchang Zhou, Shangkun Wu, Jiwei Wei +4

AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich s…