| Learning Task-Specific Representation for Video Anomaly Detection with Spatial-Temporal Attention Y Liu, J Liu, X Zhu, D Wei, X Huang, L Song ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 41 | 2022 |
| MSAF: Multimodal supervise-attention enhanced fusion for video anomaly detection D Wei, Y Liu, X Zhu, J Liu, X Zeng IEEE Signal Processing Letters 29, 2178-2182, 2022 | 32 | 2022 |
| Look, Listen and Pay More Attention: Fusing Multi-Modal Information for Video Violence Detection DL Wei, CG Liu, Y Liu, J Liu, XG Zhu, XH Zeng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
| Stochastic video normality network for abnormal event detection in surveillance videos Y Liu, D Yang, G Fang, Y Wang, D Wei, M Zhao, K Cheng, J Liu, L Song Knowledge-Based Systems 280, 110986, 2023 | 29 | 2023 |
| Learning causality-inspired representation consistency for video anomaly detection Y Liu, Z Xia, M Zhao, D Wei, Y Wang, S Liu, B Ju, G Fang, J Liu, L Song Proceedings of the 31st ACM International Conference on Multimedia, 203-212, 2023 | 27 | 2023 |
| Calibrating Cross-modal Features for Text-Based Person Searching D Wei, S Zhang, T Yang, Y Liu, J Liu arXiv preprint arXiv:2304.02278, 2023 | 11 | 2023 |
| Automated Classification of Massive Spectra Based on Enhanced Multi-Scale Coded Convolutional Neural Network B Jiang, D Wei, J Liu, S Wang, L Cheng, Z Wang, M Qu Universe 6 (4), 60, 2020 | 8 | 2020 |
| Attention-Based Auto-Encoder Framework for Abnormal Driving Detection J Liu, Y Liu, D Wei, W Ni, X Zeng, L Song 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 3150-3154, 2022 | 3 | 2022 |
