| Jointly attentive spatial-temporal pooling networks for video-based person re-identification S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou Proceedings of the IEEE international conference on computer vision, 4733-4742, 2017 | 378 | 2017 |
| A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network W Fang, B Zhong, N Zhao, PE Love, H Luo, J Xue, S Xu Advanced Engineering Informatics 39, 170-177, 2019 | 218 | 2019 |
| Hvnet: Hybrid voxel network for lidar based 3d object detection M Ye, S Xu, T Cao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 204 | 2020 |
| Automated text classification of near-misses from safety reports: An improved deep learning approach W Fang, H Luo, S Xu, PED Love, Z Lu, C Ye Advanced Engineering Informatics 44, 101060, 2020 | 132 | 2020 |
| A 3D-CNN and LSTM based multi-task learning architecture for action recognition X Ouyang, S Xu, C Zhang, P Zhou, Y Yang, G Liu, X Li IEEE Access 7, 40757-40770, 2019 | 73 | 2019 |
| SAANet: Siamese action-units attention network for improving dynamic facial expression recognition D Liu, X Ouyang, S Xu, P Zhou, K He, S Wen Neurocomputing 413, 145-157, 2020 | 61 | 2020 |
| Mhp-vos: Multiple hypotheses propagation for video object segmentation S Xu, D Liu, L Bao, W Liu, P Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 60 | 2019 |
| Computer vision and long short-term memory: Learning to predict unsafe behaviour in construction T Kong, W Fang, PED Love, H Luo, S Xu, H Li Advanced Engineering Informatics 50, 101400, 2021 | 49 | 2021 |
| Drinet: A dual-representation iterative learning network for point cloud segmentation M Ye, S Xu, T Cao, Q Chen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 43 | 2021 |
| Recognizing people’s identity in construction sites with computer vision: A spatial and temporal attention pooling network R Wei, PED Love, W Fang, H Luo, S Xu Advanced engineering informatics 42, 100981, 2019 | 43 | 2019 |
| Computer vision and deep learning to manage safety in construction: Matching images of unsafe behavior and semantic rules W Fang, PED Love, L Ding, S Xu, T Kong, H Li IEEE Transactions on Engineering Management 70 (12), 4120-4132, 2021 | 35 | 2021 |
| Sparse cross-scale attention network for efficient lidar panoptic segmentation S Xu, R Wan, M Ye, X Zou, T Cao Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2920-2928, 2022 | 32 | 2022 |
| Crowd counting via hierarchical scale recalibration network Z Zou, Y Liu, S Xu, W Wei, S Wen, P Zhou ECAI 2020, 2864-2871, 2020 | 30 | 2020 |
| Coarse to fine: Domain adaptive crowd counting via adversarial scoring network Z Zou, X Qu, P Zhou, S Xu, X Ye, W Wu, J Ye Proceedings of the 29th ACM International Conference on Multimedia, 2185-2194, 2021 | 29 | 2021 |
| Drinet++: Efficient voxel-as-point point cloud segmentation M Ye, R Wan, S Xu, T Cao, Q Chen arXiv preprint arXiv:2111.08318, 2021 | 24 | 2021 |
| Efficient point cloud segmentation with geometry-aware sparse networks M Ye, R Wan, S Xu, T Cao, Q Chen European conference on computer vision, 196-212, 2022 | 20 | 2022 |
| A deep learning fusion approach to retrieve images of People's unsafe behavior from construction sites W Fang, PED Love, H Luo, S Xu Developments in the Built Environment 12, 100085, 2022 | 17 | 2022 |
| Spatiotemporal graph neural network based mask reconstruction for video object segmentation D Liu, S Xu, XY Liu, Z Xu, W Wei, P Zhou Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2100-2108, 2021 | 16 | 2021 |
| Class-agnostic video object segmentation without semantic re-identification S Xu, L Bao, P Zhou CVPR Workshops 1, 2018 | 8 | 2018 |
| Tell-the-difference: Fine-grained visual descriptor via a discriminating referee S Xu, F Xu, Y Cheng, P Zhou arXiv preprint arXiv:1910.06426, 2019 | 3 | 2019 |
Pan ZhouProfessor, School of Cyber Science and Engineering, Huazhong University and Science and Technology在 hust.edu.cn 的电子邮件经过验证
