Recent Publications

• Learning Patch-Channel Correspondence for Interpretable Face Forgery Detection. Yingying Hua, Ruixin Shi, Pengju Wang, Shiming Ge*. IEEE Transactions on Image Processing (TIP), 2023.

• Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. Shiming Ge, Bochao Liu, Pengju Wang, Yong Li*, Dan Zeng. IEEE Transactions on Image Processing (TIP), 2023, 32: 116-127.

• Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge*, and Tongliang Liu. In Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

• Deepfake Video Detection with Spatiotemporal Dropout Transformer. Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng and Shiming Ge*. In ACM International Conference on Multimedia (MM), 2022.

• 资源受限场景中的联邦学习技术综述. 王鹏举，卢江虎，刘博超，葛仕明*. 信息安全学报, 2022.

• Selective-Supervised Contrastive Learning with Noisy Labels. Shikun Li, Xiaobo Xia, Shiming Ge*, and Tongliang Liu. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

• Regularized Latent Space Exploration for Discriminative Face Super-Resolution. Ruixin Shi, Junzheng Zhang, Yong Li*, and Shiming Ge*. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

• Interpretable Face Manipulation Detection via Feature Whitening. Yingying Hua, Daichi Zhang, Pengju Wang, Shiming Ge*. In International Conference on Machine Learning (ICML Workshop), 2021.

• Student Network Learning via Evolutionary Knowledge Distillation. Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, and Shiming Ge*. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.

• Detecting Deepfake Videos with Temporal Dropout 3DCNN. Daichi Zhang, Chenyu Li, Fanzhao Lin, Dan Zeng, Shiming Ge*. In International Joint Conference on Artificial Intelligence (IJCAI), 2021

• Cascaded Correlation Refinement for Robust Deep Tracking. Shiming Ge*, Chunhui Zhang, Shikun Li, Dan Zeng*, and Dacheng Tao. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 32(3): 1276-1288.

• 深度学习模型可解释性的研究进展. 化盈盈,张岱墀,葛仕明*. 信息安全学报, 2020, 5(3): 1-12.

• Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation. Chenyu Li, Shiming Ge*, Daichi Zhang, and Jia Li. In ACM International Conference on Multimedia (MM), 2020: 3016–3024.

• Efficient Low-Resolution Face Recognition via Bridge Distillation. Shiming Ge, Shengwei Zhao, Chenyu Li, Yu Zhang, and Jia Li*. IEEE Transactions on Image Processing (TIP), 2020, 29: 6898-6908.