Chenqi Kong

According to our database, Chenqi Kong authored at least 27 papers between 2021 and 2025.

Collaborative distances:

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

2025

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack.

Rongxuan Peng, Shunquan Tan, Chenqi Kong, Anwei Luo, Alex C. Kot, Jiwu Huang

CoRR, August, 2025

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.

Zhaoxu Li, Chenqi Kong, Yi Yu, Qiangqiang Wu, Xinghao Jiang, Ngai-Man Cheung, Bihan Wen, Alex ChiChung Kot, Xudong Jiang

CoRR, August, 2025

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking.

Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan

CoRR, July, 2025

Pixel-Inconsistency Modeling for Image Manipulation Localization.

Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, Alex C. Kot

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection.

Anwei Luo, Rizhao Cai, Chenqi Kong, Yakun Ju, Xiangui Kang, Jiwu Huang, Alex C. Kot

IEEE Trans. Circuits Syst. Video Technol., May, 2025

MTL-UE: Learning to Learn Nothing for Multi-Task Learning.

Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, May, 2025

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, April, 2025

Image Provenance Analysis via Graph Encoding With Vision Transformer.

Keyang Zhang, Chenqi Kong, Shiqi Wang, Anderson Rocha, Haoliang Li

IEEE Trans. Inf. Forensics Secur., 2025

Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2025

Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning.

Hui Liu, Wenya Wang, Hao Sun, Chris Xing Tian, Chenqi Kong, Xin Dong, Haoliang Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection.

Anwei Luo, Chenqi Kong, Jiwu Huang, Yongjian Hu, Xiangui Kang, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2024

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens.

Rizhao Cai, Zitong Yu, Chenqi Kong, Haoliang Li, Changsheng Chen, Yongjian Hu, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2024

M$^{3}$3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.

Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, Haoliang Li

IEEE Trans. Dependable Secur. Comput., 2024

Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild.

Peijun Bao, Chenqi Kong, Zihao Shao, Boon Poh Ng, Meng Hwa Er, Alex C. Kot

CoRR, 2024

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture.

Chenqi Kong, Anwei Luo, Peijun Bao, Haoliang Li, Renjie Wan, Zengwei Zheng, Anderson Rocha, Alex C. Kot

CoRR, 2024

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

Chenqi Kong, Anwei Luo, Song Xia, Yi Yu, Haoliang Li, Alex C. Kot

CoRR, 2024

2023

Forgery-aware Adaptive Vision Transformer for Face Forgery Detection.

Anwei Luo, Rizhao Cai, Chenqi Kong, Xiangui Kang, Jiwu Huang, Alex C. Kot

CoRR, 2023

M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.

Chenqi Kong, Kexin Zheng, Yibing Liu, Shiqi Wang, Anderson Rocha, Haoliang Li

CoRR, 2023

Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation.

Chenqi Kong, Haoliang Li, Shiqi Wang

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Two-Branch Multi-Scale Deep Neural Network for Generalized Document Recapture Attack Detection.

Jiaxing Li, Chenqi Kong, Shiqi Wang, Haoliang Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

No-Reference Image Quality Assessment by Hallucinating Pristine Features.

Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li

IEEE Trans. Image Process., 2022

Beyond the Pixel World: A Novel Acoustic-Based Face Anti-Spoofing System for Smartphones.

Chenqi Kong, Kexin Zheng, Shiqi Wang, Anderson Rocha, Haoliang Li

IEEE Trans. Inf. Forensics Secur., 2022

Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-Level Telltales.

Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong

IEEE Trans. Inf. Forensics Secur., 2022

Appearance Matters, So Does Audio: Revealing the Hidden Face via Cross-Modality Transfer.

Chenqi Kong, Baoliang Chen, Wenhan Yang, Haoliang Li, Peilin Chen, Shiqi Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

Digital and Physical Face Attacks: Reviewing and One Step Further.

Chenqi Kong, Shiqi Wang, Haoliang Li

CoRR, 2022

Rethinking Attention-Model Explainability through Faithfulness Violation Test.

Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision.

Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong

CoRR, 2021