Search Results for author: Siqi Gu

Found 3 papers, 0 papers with code

Real-centric Consistency Learning for Deepfake Detection

no code implementations15 May 2022 Ruiqi Zha, Zhichao Lian, Qianmu Li, Siqi Gu

Essentially, the target of deepfake detection problem is to represent natural faces and fake faces at the representation space discriminatively, and it reminds us whether we could optimize the feature extraction procedure at the representation space through constraining intra-class consistence and inter-class inconsistence to bring the intra-class representations close and push the inter-class representations apart?

DeepFake Detection Face Swapping +1

A Unified Multi-Task Learning Framework of Real-Time Drone Supervision for Crowd Counting

no code implementations8 Feb 2022 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 architecture to fuse images from the visible and thermal infrared image, and a crowd counting network architecture to estimate the density map.

Crowd Counting Multi-Task Learning

Block shuffling learning for Deepfake Detection

no code implementations6 Feb 2022 Sitong Liu, Zhichao Lian, Siqi Gu, Liang Xiao

Although the deepfake detection based on convolutional neural network has achieved good results, the detection results show that these detectors show obvious performance degradation when the input images undergo some common transformations (like resizing, blurring), which indicates that the generalization ability of the detector is insufficient.

DeepFake Detection Face Detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.