Dual-Gradients Localization Framework for Weakly Supervised Object Localization. - Chuangchuang Tan; Guanghua Gu; Tao Ruan; Shikui Wei; Yao Zhao 001 (ACM Multimedia, 2020)

LID 2020: The Learning from Imperfect Data Challenge Results. - Yunchao Wei; Shuai Zheng 001; Ming-Ming Cheng; Hang Zhao; Liwei Wang 001; Errui Ding; Yi Yang 001; Antonio Torralba 001; Ting Liu 012; Guolei Sun; Wenguan Wang; Luc Van Gool; et al. (CoRR, 2020)

Attention-based Dual-Branches Localization Network for Weakly Supervised Object Localization. - Wenjun Hui; Chuangchuang Tan; Guanghua Gu (MMAsia, 2021)

Weakly Supervised Object Localization with Noisy-Label Learning. - Yuming Fan; Shikui Wei; Chuangchuang Tan; Xiaotong Chen; Yao Zhao 001 (PRCV (4), 2022)

Gradient-based refined class activation map for weakly supervised object localization. - Wenjun Hui; Chuangchuang Tan; Guanghua Gu; Yao Zhao 001 (Pattern Recognit., 2022)

Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection. - Chuangchuang Tan; Yao Zhao 001; Shikui Wei; Guanghua Gu; Yunchao Wei (CVPR, 2023)

Fourier-Based Instance Selective Whitening for Domain Generalized Lane Detection. - Weiyan Xu; Shikui Wei; Sen Xu; Chuangchuang Tan; Shengli Zhang; Yao Zhao 001 (ICCSE (1), 2023)

CLE Diffusion: Controllable Light Enhancement Diffusion Model. - Yuyang Yin; Dejia Xu; Chuangchuang Tan; Ping Liu 004; Yao Zhao 001; Yunchao Wei (ACM Multimedia, 2023)

Dual-Gradients Localization Framework With Skip-Layer Connections for Weakly Supervised Object Localization. - Chuangchuang Tan; Guanghua Gu; Tao Ruan; Shikui Wei; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning. - Chuangchuang Tan; Yao Zhao 001; Shikui Wei; Guanghua Gu; Ping Liu 004; Yunchao Wei (AAAI, 2024)

Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection. - Huan Liu 001; Zichang Tan; Chuangchuang Tan; Yunchao Wei; Jingdong Wang 001; Yao Zhao 001 (CVPR, 2024)

Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection. - Chuangchuang Tan; Huan Liu 001; Yao Zhao 001; Shikui Wei; Guanghua Gu; Ping Liu 004; Yunchao Wei (CVPR, 2024)

Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. - Chuangchuang Tan; Ping Liu 004; Renshuai Tao; Huan Liu 001; Yao Zhao 001; Baoyuan Wu; Yunchao Wei (CoRR, 2024)

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning. - Chuangchuang Tan; Yao Zhao 001; Shikui Wei; Guanghua Gu; Ping Liu 004; Yunchao Wei (CoRR, 2024)

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. - Chuangchuang Tan; Renshuai Tao; Huan Liu 001; Guanghua Gu; Baoyuan Wu; Yao Zhao 001; Yunchao Wei (AAAI, 2025)

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks. - Renshuai Tao; Manyi Le; Chuangchuang Tan; Huan Liu 001; Haotong Qin; Yao Zhao 001 (AAAI, 2025)

Rethinking erasing strategy on weakly supervised object localization. - Yuming Fan; Shikui Wei; Chuangchuang Tan; Xiaotong Chen; Dongming Yang; Yao Zhao 001 (Signal Process. Image Commun., 2025)

SAGNet: Decoupling Semantic-Agnostic Artifacts From Limited Training Data for Robust Generalization in Deepfake Detection. - Renshuai Tao; Chuangchuang Tan; Huan Liu 001; Jiakai Wang; Haotong Qin; Yakun Chang; Wei Wang 108; Rongrong Ni; Yao Zhao 001 (IEEE Trans. Inf. Forensics Secur., 2025)

DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing. - Zixiang Li; Haoyu Wang; Wei Wang 108; Chuangchuang Tan; Yunchao Wei; Yao Zhao 001 (CoRR, 2025)

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks. - Manyi Li; Renshuai Tao; Yufan Liu; Chuangchuang Tan; Haotong Qin; Bing Li; Yunchao Wei; Yao Zhao 001 (CoRR, 2025)

ForenX: Towards Explainable AI-Generated Image Detection with Multimodal Large Language Models. - Chuangchuang Tan; Jinglu Wang; Xiang Ming; Renshuai Tao; Yunchao Wei; Yao Zhao; Yan Lu (CoRR, 2025)