2 citations · 2 across the 4 of their papers we have counts for
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cs.CV2024★ 2 cited
BENet: A Cross-domain Robust Network for Detecting Face Forgeries via Bias Expansion and Latent-space Attention
Weihua Liu, Jianhua Qiu, Said Boumaraf +5
In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. BENet enhances the detection of fake faces by addressing…
cs.CV2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu, Lin Li, Chaochao Lin +1
The rapid advancement of deepfake technologies raises significant concerns about the security of face recognition systems. While existing methods leverage the clues left by deepfak…
cs.CV2023
Dynamic Multi-Domain Knowledge Networks for Chest X-ray Report Generation
Weihua Liu, Youyuan Xue, Chaochao Lin +1
The automated generation of radiology diagnostic reports helps radiologists make timely and accurate diagnostic decisions while also enhancing clinical diagnostic efficiency. Howev…