A novel copy-move forgery detection algorithm via two-stage filtering. - Ji-Xiang Yang; Zhiyao Liang; Yanfen Gan; Junliu Zhong (Digit. Signal Process., 2021)

Effective and efficient pixel-level detection for diverse video copy-move forgery types. - Junliu Zhong; Yanfen Gan; Chi-Man Vong; Ji-Xiang Yang; Jing-Hong Zhao; Jiahua Luo (Pattern Recognit., 2022)

Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection. - Jun-Liu Zhong; Ji-Xiang Yang; Yan-Fen Gan; Lian Huang; Hua Zeng (Soft Comput., 2022)

A Novel Image Copy-Move Forgery Detection Algorithm Using the Characteristics of Local Descriptors. - Jun-Liu Zhong; Ji-Xiang Yang; Hua Zeng; Ying-Qi Zhao (Int. J. Pattern Recognit. Artif. Intell., 2022)

Video Surveillance Object Forgery Detection using PDCL Network with Residual-based Steganalysis Feature. - Yan-Fen Gan; Ji-Xiang Yang; Jun-Liu Zhong (Int. J. Intell. Syst., 2023)

A fast forgery frame detection method for video copy-move inter/intra-frame identification. - Jun-Liu Zhong; Yan-Fen Gan; Ji-Xiang Yang (J. Ambient Intell. Humaniz. Comput., 2023)

A Novel Copy-Move Forgery Detection Algorithm via Gradient-Hash Matching and Simplified Cluster-Based Filtering. - Ji-Xiang Yang; Zhiyao Liang; Jianqing Li 001; Yanfen Gan; Junliu Zhong (Int. J. Pattern Recognit. Artif. Intell., 2023)

Efficient detection of intra/inter-frame video copy-move forgery: A hierarchical coarse-to-fine method. - Jun-Liu Zhong; Yan-Fen Gan; Ji-Xiang Yang (J. Inf. Secur. Appl., 2024)

Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks. - Jun-Liu Zhong; Yan-Fen Gan; Ji-Xiang Yang; Yu-Huan Chen; Ying-Qi Zhao; Zhi-Sheng Lv (J. Vis. Commun. Image Represent., 2024)