Implicit identity driven deepfake face swapping detection B Huang, Z Wang, J Yang, J Ai, Q Zou, Q Wang, D Ye Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 54 | 2023 |
Reliability exploration with self-ensemble learning for domain adaptive person re-identification Z Li, Y Shi, H Ling, J Chen, Q Wang, F Zhou Proceedings of the AAAI conference on artificial intelligence 36 (2), 1527-1535, 2022 | 28 | 2022 |
Clip in medical imaging: A comprehensive survey Z Zhao, Y Liu, H Wu, Y Li, S Wang, L Teng, D Liu, X Li, Z Cui, Q Wang, ... arXiv preprint arXiv:2312.07353, 2023 | 15 | 2023 |
Mixture distribution graph network for few shot learning B Zhang, H Ling, J Shen, Q Wang, J Lei, Y Shi, L Wu, P Li IEEE Transactions on Cognitive and Developmental Systems 14 (3), 892-901, 2021 | 9 | 2021 |
Multi-head attention graph network for few shot learning B Zhang, H Ling, P Li, Q Wang, Y Shi, L Wu, R Wang, J Shen Computers, Materials & Continua 68 (2), 1505-1517, 2021 | 7 | 2021 |
Detecting adversarial faces using only real face self-perturbations Q Wang, Y Xian, H Ling, J Zhang, X Lin, P Li, J Chen, N Yu arXiv preprint arXiv:2304.11359, 2023 | 3 | 2023 |
Gait recognition via gait period set R Wang, Y Shi, H Ling, Z Li, P Li, B Liu, H Zheng, Q Wang IEEE Transactions on Biometrics, Behavior, and Identity Science 5 (2), 183-195, 2023 | 3 | 2023 |
Bidirectional gated edge-labeling graph recurrent neural network for few-shot learning Q Wang, H Ling, B Zhang, P Li, Z Li, Y Shi, C Zhao, C Zhao IEEE Transactions on Cognitive and Developmental Systems 15 (2), 855-864, 2022 | 3 | 2022 |
Improving Transferability of Adversarial Examples on Face Recognition with Beneficial Perturbation Feature Augmentation F Zhou, H Ling, Y Shi, J Chen, Z Li, Q Wang arXiv 2210, 2022 | 2 | 2022 |
Continual adversarial defense Q Wang, Y Liu, H Ling, Y Li, Q Liu, P Li, J Chen, A Yuille, N Yu arXiv preprint arXiv:2312.09481, 2023 | 1 | 2023 |
Knowledge Consistency Distillation for Weakly Supervised One Step Person Search Z Li, Y Shi, H Ling, J Chen, R Wang, C Zhao, Q Wang, S Huang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | | 2024 |
Detecting Adversarial Data via Perturbation Forgery Q Wang, C Li, Y Luo, H Ling, P Li, J Chen, S Huang, N Yu arXiv preprint arXiv:2405.16226, 2024 | | 2024 |
General Adversarial Perturbation Simulating: Protect Unknown System by Detecting Unknown Adversarial Faces H Ling, F Sun, J Zhang, X Lin, J Chen, P Li, Q Wang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
Selective Adversarial Adaptation Learning via Exclusive Regularization for Partial Domain Adaptation P Li, L Shen, H Ling, L Wu, Q Wang, C Zhao 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | | 2021 |