11 citations · 38 across the 9 of their papers we have counts for
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cs.CV2021★ 2 cited
Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals
Maoyu Mao, Jun Yang
Deepfake poses a serious threat to the reliability of judicial evidence and intellectual property protection. In spite of an urgent need for Deepfake identification, existing pixel…
cs.CV2018
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks
Mengdi Wang, Qing Zhang, Jun Yang +2
In this work, we propose a graph-adaptive pruning (GAP) method for efficient inference of convolutional neural networks (CNNs). In this method, the network is viewed as a computati…