Publications

Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images

Chuangchuang Tan, Xiang Ming, Jinglu Wang, Renshuai Tao, Bin Li, Yunchao Wei, Yao Zhao, Yan Lu

ICLR 2026

Paper · Code

ForenDeX: Unlocking Forensic Insights for Explainable AI-Generated Image Detection

Chuangchuang Tan, Jinglu Wang, Xiang Ming, Renshuai Tao, Yunchao Wei, Yao Zhao, Yan Lu

CVPR 2026 Findings

Paper

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Chuangchuang Tan*, Renshuai Tao*, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei (* equal contribution)

AAAI 2025

Paper · Code

SAGNet: Decoupling Semantic-Agnostic Artifacts from Limited Training Data for Robust Generalization in Deepfake Detection

Renshuai Tao, Chuangchuang Tan, Huan Liu, et al.

IEEE TIFS 2025

Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection

Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei

CVPR 2024

Paper · Code · Demo

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei

AAAI 2024

Paper · Code

Forgery-Aware Adaptive Transformer for Generalizable Synthetic Image Detection

Huan Liu, Chuangchuang Tan, et al.

CVPR 2024

Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Yunchao Wei

CVPR 2023

Paper · Code

Dual-Gradients Localization Framework with Skip-Layer Connections for Weakly Supervised Object Localization

Chuangchuang Tan, et al.

IEEE TMM 2023

Gradient-Based Refined Class Activation Map for Weakly Supervised Object Localization

Chuangchuang Tan*, Wenjun Hui*, Guanghua Gu, Yao Zhao

Pattern Recognition 2022

Dual-Gradients Localization Framework for Weakly Supervised Object Localization

Chuangchuang Tan, Guanghua Gu, Tao Ruan, Shikui Wei, Yao Zhao

ACM MM 2020