21 citations · 39 across the 7 of their papers we have counts for
7 papers
Adversarial Purification of Information Masking
Sitong Liu, Zhichao Lian, Shuangquan Zhang +1
Adversarial attacks meticulously generate minuscule, imperceptible perturbations to images to deceive neural networks. Counteracting these, adversarial purification methods seek to…
An Effective Fusion Method to Enhance the Robustness of CNN
Yating Ma, Zhichao Lian
With the development of technology rapidly, applications of convolutional neural networks have improved the convenience of our life. However, in image classification field, it has…
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…
Functional Connectivity Based Classification of ADHD Using Different Atlases
Sartaj Ahmed Salman, Zhichao Lian, Marva Saleem +1
These days, computational diagnosis strategies of neuropsychiatric disorders are gaining attention day by day. It's critical to determine the brain's functional connectivity based…
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…
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…
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
Jie Song, Liang Xiao, Mohsen Molaei +1
In this paper, we propose an easily trained yet powerful representation learning approach with performance highly competitive to deep neural networks in a digital pathology image s…