44 citations · 63 across the 13 of their papers we have counts for
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cs.CV2022★ 4 cited
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
Yuhang Lu, Touradj Ebrahimi
Deep convolutional neural networks have achieved exceptional results on multiple detection and recognition tasks. However, the performance of such detectors are often evaluated in…
cs.CV2022
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi
Deep convolutional neural networks have shown remarkable results on multiple detection tasks. Despite the significant progress, the performance of such detectors are often assessed…
eess.IV2022★ 7 cited
Sampling color and geometry point clouds from ShapeNet dataset
Davi Lazzarotto, Touradj Ebrahimi
The popularisation of acquisition devices capable of capturing volumetric information such as LiDAR scans and depth cameras has lead to an increased interest in point clouds as an…