| AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system B Wang, S Jin, Q Yan, H Xu, C Luo, L Wei, W Zhao, X Hou, W Ma, Z Xu, ... Applied Soft Computing, 106897, 2020 | 527* | 2020 |
| Blindly assess image quality in the wild guided by a self-adaptive hyper network S Su, Q Yan, Y Zhu, C Zhang, X Ge, J Sun, Y Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 493 | 2020 |
| Attention-Guided Network for Ghost-Free High Dynamic Range Imaging. Q Yan, D Gong, Q Shi, A van den Hengel, C Shen, I Reid, Y Zhang CVF Conference on Computer Vision and Pattern Recognition (CVPR), 1751-1760, 2019 | 273 | 2019 |
| COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations Q Yan, B Wang, D Gong, C Luo, W Zhao, J Shen, J Ai, Q Shi, Y Zhang, ... IEEE Transactions on Big Data 7 (1), 13-24, 2021 | 261* | 2021 |
| Deep HDR Imaging via A Non-local Network Q Yan, L Zhang, Y Liu, Y Zhu, J Sun, Q Shi, Y Zhang IEEE Transactions on Image Processing 29, 4308-4322, 2020 | 163 | 2020 |
| Two-stream convolutional networks for blind image quality assessment Q Yan, D Gong, Y Zhang IEEE Transactions on Image Processing 28 (5), 2200-2211, 2018 | 158 | 2018 |
| Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation D Dai, C Dong, S Xu, Q Yan, Z Li, C Zhang, N Luo Medical image analysis 75, 102293, 2022 | 103 | 2022 |
| Attention-guided deep neural network with multi-scale feature fusion for liver vessel segmentation Q Yan, B Wang, W Zhang, C Luo, W Xu, Z Xu, Y Zhang, Q Shi, L Zhang, ... IEEE Journal of Biomedical and Health Informatics 25 (7), 2629-2642, 2020 | 91 | 2020 |
| Multi-scale dense networks for deep high dynamic range imaging Q Yan, D Gong, P Zhang, Q Shi, J Sun, I Reid, Y Zhang 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 41-50, 2019 | 72 | 2019 |
| High dynamic range imaging by sparse representation Q Yan, J Sun, H Li, Y Zhu, Y Zhang Neurocomputing 269, 160-169, 2017 | 58 | 2017 |
| Attention-based network for low-light image enhancement C Zhang, Q Yan, Y Zhu, X Li, J Sun, Y Zhang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 44 | 2020 |
| Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning Q Yan, D Gong, Y Liu, A Hengel, JQ Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 38 | 2022 |
| NTIRE 2022 challenge on high dynamic range imaging: Methods and results E Pérez-Pellitero, S Catley-Chandar, R Shaw, A Leonardis, R Timofte, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 35 | 2022 |
| Dual-attention-guided network for ghost-free high dynamic range imaging Q Yan, D Gong, JQ Shi, A Van Den Hengel, C Shen, I Reid, Y Zhang International Journal of Computer Vision, 1-19, 2022 | 34 | 2022 |
| Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report MV Conde, E Zamfir, R Timofte, D Motilla, C Liu, Z Zhang, Y Peng, Y Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 24 | 2023 |
| High dynamic range imaging via gradient-aware context aggregation network Q Yan, D Gong, JQ Shi, A van den Hengel, J Sun, Y Zhu, Y Zhang Pattern Recognition 122, 108342, 2022 | 24 | 2022 |
| Robust artifact-free high dynamic range imaging of dynamic scenes Q Yan, Y Zhu, Y Zhang Multimedia Tools and Applications 78, 11487-11505, 2019 | 24 | 2019 |
| 3D Medical image segmentation using parallel transformers Q Yan, S Liu, S Xu, C Dong, Z Li, JQ Shi, Y Zhang, D Dai Pattern Recognition 138, 109432, 2023 | 23 | 2023 |
| Stock market prediction via deep learning techniques: A survey J Zou, Q Zhao, Y Jiao, H Cao, Y Liu, Q Yan, E Abbasnejad, L Liu, JQ Shi arXiv preprint arXiv:2212.12717, 2022 | 23 | 2022 |
| 3D gated recurrent fusion for semantic scene completion Y Liu, J Li, Q Yan, X Yuan, C Zhao, I Reid, C Cadena arXiv preprint arXiv:2002.07269, 2020 | 23 | 2020 |
Yanning ZhangNorthwestern Polytechnical University在 nwpu.edu.cn 的电子邮件经过验证
