| A deep normalization and convolutional neural network for image smoke detection Z Yin, B Wan, F Yuan, X Xia, J Shi Ieee Access 5, 18429-18438, 2017 | 277 | 2017 |
| Weakly supervised video anomaly detection via center-guided discriminative learning B Wan, Y Fang, X Xia, J Mei 2020 IEEE international conference on multimedia and expo (ICME), 1-6, 2020 | 139 | 2020 |
| Deep smoke segmentation F Yuan, L Zhang, X Xia, B Wan, Q Huang, X Li Neurocomputing 357, 248-260, 2019 | 130 | 2019 |
| Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition F Yuan, L Zhang, B Wan, X Xia, J Shi Machine Vision and Applications 30, 345-358, 2019 | 60 | 2019 |
| Anomaly detection in video sequences: A benchmark and computational model B Wan, W Jiang, Y Fang, Z Luo, G Ding IET Image Processing 15 (14), 3454-3465, 2021 | 32 | 2021 |
| Revisiting image captioning via maximum discrepancy competition B Wan, W Jiang, YM Fang, M Zhu, Q Li, Y Liu Pattern Recognition 122, 108358, 2022 | 15 | 2022 |
| Visual attention modeling for autism spectrum disorder by semantic features Y Fang, H Huang, B Wan, Y Zuo 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 14 | 2019 |
| Informative attention supervision for grounded video description B Wan, W Jiang, Y Fang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Dual-stream Self-attention Network for Image Captioning B Wan, W Jiang, Y Fang, W Wen, H Liu 2022 IEEE International Conference on Visual Communications and Image …, 2022 | 2 | 2022 |
Yuming FangJiangxi University of Finance and EconomicsVerified email at ntu.edu.sg
