| Hourglass-shapenetwork based semantic segmentation for high resolution aerial imagery Y Liu, D Minh Nguyen, N Deligiannis, W Ding, A Munteanu Remote Sensing 9 (6), 522, 2017 | 159 | 2017 |
| Automatic modulation classification based on deep learning for unmanned aerial vehicles D Zhang, W Ding, B Zhang, C Xie, H Li, C Liu, J Han Sensors 18 (3), 924, 2018 | 140 | 2018 |
| Adaptive mixture regression network with local counting map for crowd counting X Liu, J Yang, W Ding, T Wang, Z Wang, J Xiong Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 131 | 2020 |
| ERN: Edge loss reinforced semantic segmentation network for remote sensing images S Liu, W Ding, C Liu, Y Liu, Y Wang, H Li Remote Sensing 10 (9), 1339, 2018 | 97 | 2018 |
| Circulant binary convolutional networks: Enhancing the performance of 1-bit dcnns with circulant back propagation C Liu, W Ding, X Xia, B Zhang, J Gu, J Liu, R Ji, D Doermann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 88 | 2019 |
| Image registration and fusion of visible and infrared integrated camera for medium-altitude unmanned aerial vehicle remote sensing H Li, W Ding, X Cao, C Liu Remote Sensing 9 (5), 441, 2017 | 73 | 2017 |
| Optimization of task scheduling and dynamic service strategy for multi-UAV-enabled mobile-edge computing system Y Luo, W Ding, B Zhang IEEE Transactions on Cognitive Communications and Networking 7 (3), 970-984, 2021 | 68 | 2021 |
| Boundary-aware multitask learning for remote sensing imagery Y Wang, W Ding, R Zhang, H Li IEEE Journal of selected topics in applied earth observations and remote …, 2020 | 40 | 2020 |
| Haze removal for UAV reconnaissance images using layered scattering model Y Huang, W Ding, H Li Chinese Journal of Aeronautics 29 (2), 502-511, 2016 | 40 | 2016 |
| A hierarchical spatio-temporal graph convolutional neural network for anomaly detection in videos X Zeng, Y Jiang, W Ding, H Li, Y Hao, Z Qiu IEEE Transactions on Circuits and Systems for Video Technology 33 (1), 200-212, 2021 | 39 | 2021 |
| Aggregation signature for small object tracking C Liu, W Ding, J Yang, V Murino, B Zhang, J Han, G Guo IEEE Transactions on Image Processing 29, 1738-1747, 2019 | 33 | 2019 |
| A KNNS based anomaly detection method applied for UAV flight data stream Y Liu, W Ding 2015 Prognostics and System Health Management Conference (PHM), 1-8, 2015 | 32 | 2015 |
| Modulated autocorrelation convolution networks for automatic modulation classification based on small sample set D Zhang, W Ding, C Liu, H Wang, B Zhang IEEE Access 8, 27097-27105, 2020 | 27 | 2020 |
| Trq: Ternary neural networks with residual quantization Y Li, W Ding, C Liu, B Zhang, G Guo Proceedings of the AAAI conference on artificial intelligence 35 (10), 8538-8546, 2021 | 26 | 2021 |
| RB-Net: Training highly accurate and efficient binary neural networks with reshaped point-wise convolution and balanced activation C Liu, W Ding, P Chen, B Zhuang, Y Wang, Y Zhao, B Zhang, Y Han IEEE Transactions on Circuits and Systems for Video Technology 32 (9), 6414-6424, 2022 | 25 | 2022 |
| Human abnormal behavior detection method based on T-TINY-YOLO H Ji, X Zeng, H Li, W Ding, X Nie, Y Zhang, Z Xiao Proceedings of the 5th international conference on multimedia and image …, 2020 | 24 | 2020 |
| SA-BNN: State-aware binary neural network C Liu, P Chen, B Zhuang, C Shen, B Zhang, W Ding Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2091-2099, 2021 | 22 | 2021 |
| RBCN: Rectified binary convolutional networks for enhancing the performance of 1-bit DCNNs C Liu, W Ding, X Xia, Y Hu, B Zhang, J Liu, B Zhuang, G Guo arXiv preprint arXiv:1908.07748, 2019 | 22 | 2019 |
| Summary of convolutional neural network compression technology Y Zhang, W Ding, C Liu 2019 IEEE International Conference on Unmanned Systems (ICUS), 480-483, 2019 | 19 | 2019 |
| Learning modulation filter networks for weak signal detection in noise D Zhang, W Ding, B Zhang, C Liu, J Han, D Doermann Pattern Recognition 109, 107590, 2021 | 18 | 2021 |
