1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
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…
Shape-Margin Knowledge Augmented Network for Thyroid Nodule Segmentation and Diagnosis
Weihua Liu, Chaochao Lin
Thyroid nodule segmentation is a crucial step in the diagnostic procedure of physicians and computer-aided diagnosis systems. Mostly, current studies treat segmentation and diagnos…
Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
Weihua Liu, Chaochao Lin, Yu Yan
Face anti-spoofing (FAS) is crucial for securing face recognition systems. However, existing FAS methods with handcrafted binary or pixel-wise labels have limitations due to divers…
Occlusion-Aware Deep Convolutional Neural Network via Homogeneous Tanh-transforms for Face Parsing
Jianhua Qiua, Weihua Liu, Chaochao Lin +3
Face parsing infers a pixel-wise label map for each semantic facial component. Previous methods generally work well for uncovered faces, however, they overlook facial occlusion and…
Optimal Inspection of Network Systems via Value of Information Analysis
Chaochao Lin, Junho Song, Matteo Pozzi
This paper develops computable metrics to assign priorities for information collection on network systems made up by binary components. Components are worth inspecting because thei…