21 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Real-centric Consistency Learning for Deepfake Detection
Ruiqi Zha, Zhichao Lian, Qianmu Li +1
Most of previous deepfake detection researches bent their efforts to describe and discriminate artifacts in human perceptible ways, which leave a bias in the learned networks of ig…
cs.CV2022★ 21 cited
A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting
Siqi Gu, Zhichao Lian
In this paper, a novel Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting (MFCC) is proposed, which utilizes an image fusion network architectu…
cs.CV2022★ 7 cited
Block shuffling learning for Deepfake Detection
Sitong Liu, Zhichao Lian, Siqi Gu +1
Deepfake detection methods based on convolutional neural networks (CNN) have demonstrated high accuracy. \textcolor{black}{However, these methods often suffer from decreased perfor…