Chenfan Qu

According to our database, Chenfan Qu authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization.

Bo Du, Xuekang Zhu, Xiaochen Ma, Chenfan Qu, Kaiwen Feng, Zhe Yang, Chi-Man Pun, Jian Liu, Jizhe Zhou

CoRR, May, 2025

Revisiting Tampered Scene Text Detection in the Era of Generative AI.

Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen Jin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Explainable Tampered Text Detection via Multimodal Large Models.

Chenfan Qu, Jian Liu, Haoxing Chen, Baihan Yu, Jingjing Liu, Weiqiang Wang, Lianwen Jin

CoRR, 2024

Omni-IML: Towards Unified Image Manipulation Localization.

Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen Jin

CoRR, 2024

Generalized Tampered Scene Text Detection in the era of Generative AI.

Chenfan Qu, Yiwu Zhong, Fengjun Guo, Lianwen Jin

CoRR, 2024

DTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator.

Xinhong Chen, Bangdong Chen, Chenfan Qu, Dezhi Peng, Chongyu Liu, Lianwen Jin

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Unified Face Attack Detection with Micro Disturbance and a Two-Stage Training Strategy.

Jiaruo Yu, Dagong Lu, Xingyue Shi, Chenfan Qu, Fengjun Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods.

Chenfan Qu, Yiwu Zhong, Chongyu Liu, Guitao Xu, Dezhi Peng, Fengjun Guo, Lianwen Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution.

Chenfan Qu, Chongyu Liu, Yuliang Liu, Xinhong Chen, Dezhi Peng, Fengjun Guo, Lianwen Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023