Interpretable Generative Adversarial Networks. - Chao Li 028; Kelu Yao; Jin Wang 039; Boyu Diao; Yongjun Xu 001; Quanshi Zhang (AAAI, 2022)

Explaining Deepfake Detection by Analysing Image Matching. - Shichao Dong 001; Jin Wang 039; Jiajun Liang; Haoqiang Fan; Renhe Ji (ECCV (14), 2022)

Towards A Robust Deepfake Detector: Common Artifact Deepfake Detection Model. - Shichao Dong 001; Jin Wang 039; Renhe Ji; Jiajun Liang; Haoqiang Fan; Zheng Ge (CoRR, 2022)

Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization. - Shichao Dong 001; Jin Wang 039; Renhe Ji; Jiajun Liang; Haoqiang Fan; Zheng Ge (CVPR, 2023)

Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View. - Kelu Yao; Jin Wang 039; Boyu Diao; Chao Li 028 (ICCV, 2023)

Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion. - Huadong Li; Minhao Jing; Jin Wang 039; Shichao Dong 001; Jiajun Liang; Haoqiang Fan; Renhe Ji (ECCV (49), 2024)

Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View. - Jin Wang 039; Shichao Dong 001; Yapeng Zhu; Kelu Yao; Weidong Zhao; Chao Li 028; Ping Luo (ICML, 2024)

Towards RGB-NIR Cross-modality Image Registration and Beyond. - Huadong Li; Shichao Dong 001; Jin Wang 039; Rong Fu; Minhao Jing; Jiajun Liang; Haoqiang Fan; Renhe Ji (CoRR, 2024)

Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models. - Jin Wang 039; Chenghui Lv; Xian Li; Shichao Dong 001; Huadong Li; Kelu Yao; Chao Li 028; Wenqi Shao; Ping Luo (CVPR, 2025)