| Road extraction by deep residual u-net Z Zhang, Q Liu, Y Wang IEEE Geoscience and Remote Sensing Letters 15 (5), 749-753, 2018 | 2946 | 2018 |
| PSGAN: A generative adversarial network for remote sensing image pan-sharpening Q Liu, H Zhou, Q Xu, X Liu, Y Wang IEEE Transactions on Geoscience and Remote Sensing 59 (12), 10227-10242, 2020 | 338 | 2020 |
| Stmtrack: Template-free visual tracking with space-time memory networks Z Fu, Q Liu, Z Fu, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 337 | 2021 |
| Remote sensing image fusion based on two-stream fusion network X Liu, Q Liu, Y Wang Information Fusion 55, 1-15, 2020 | 331 | 2020 |
| Cnn-based density estimation and crowd counting: A survey G Gao, J Gao, Q Liu, Q Wang, Y Wang arXiv preprint arXiv:2003.12783, 2020 | 235 | 2020 |
| HSF-Net: Multiscale deep feature embedding for ship detection in optical remote sensing imagery Q Li, L Mou, Q Liu, Y Wang, XX Zhu IEEE transactions on geoscience and remote sensing 56 (12), 7147-7161, 2018 | 208 | 2018 |
| From W-Net to CDGAN: Bitemporal change detection via deep learning techniques B Hou, Q Liu, H Wang, Y Wang IEEE Transactions on Geoscience and Remote Sensing 58 (3), 1790-1802, 2019 | 162 | 2019 |
| Weakly supervised semantic segmentation by pixel-to-prototype contrast Y Du, Z Fu, Q Liu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 160 | 2022 |
| SparseTT: Visual Tracking with Sparse Transformers Z Fu, Z Fu, Q Liu, W Cai, Y Wang IJCAI, 905-912, 2022 | 139 | 2022 |
| The ninth visual object tracking vot2021 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 135 | 2021 |
| Convolutional neural network features based change detection in satellite images AM El Amin, Q Liu, Y Wang First International Workshop on Pattern Recognition 10011, 181-186, 2016 | 134 | 2016 |
| Learning discriminative representations for skeleton based action recognition H Zhou, Q Liu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 120 | 2023 |
| Pyramid mask text detector J Liu, X Liu, J Sheng, D Liang, X Li, Q Liu arXiv preprint arXiv:1903.11800, 2019 | 98 | 2019 |
| Change detection based on deep features and low rank B Hou, Y Wang, Q Liu IEEE Geoscience and Remote Sensing Letters 14 (12), 2418-2422, 2017 | 98 | 2017 |
| Automatic building extraction from Google Earth images under complex backgrounds based on deep instance segmentation network Q Wen, K Jiang, W Wang, Q Liu, Q Guo, L Li, P Wang Sensors 19 (2), 333, 2019 | 90 | 2019 |
| CNN based suburban building detection using monocular high resolution Google Earth images Q Zhang, Y Wang, Q Liu, X Liu, W Wang 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 74 | 2016 |
| Zoom out CNNs features for optical remote sensing change detection AM El Amin, Q Liu, Y Wang 2017 2nd International conference on image, vision and computing (ICIVC …, 2017 | 71 | 2017 |
| PGMAN: An unsupervised generative multiadversarial network for pansharpening H Zhou, Q Liu, Y Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 64 | 2021 |
| Counting from sky: A large-scale data set for remote sensing object counting and a benchmark method G Gao, Q Liu, Y Wang IEEE Transactions on geoscience and remote sensing 59 (5), 3642-3655, 2020 | 62 | 2020 |
| Unsupervised cycle-consistent generative adversarial networks for pan sharpening H Zhou, Q Liu, D Weng, Y Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 52 | 2022 |
Yunhong WangProfessor, School of Computer Science and Engineering, Beihang Universitybuaa.edu.cn의 이메일 확인됨