| DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention Z Chen, Z He, ZM Lu IEEE Transactions on Image Processing, 2024 | 166 | 2024 |
| Single-image-based nonuniformity correction of uncooled long-wave infrared detectors: A deep-learning approach Z He, Y Cao, Y Dong, J Yang, Y Cao, CL Tisse Applied optics 57 (18), D155-D164, 2018 | 131 | 2018 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 125 | 2019 |
| MRFN: Multi-receptive-field network for fast and accurate single image super-resolution Z He, Y Cao, L Du, B Xu, J Yang, Y Cao, S Tang, Y Zhuang IEEE Transactions on Multimedia 22 (4), 1042-1054, 2019 | 87 | 2019 |
| Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution Z He, S Tang, J Yang, Y Cao, MY Yang, Y Cao IEEE Transactions on Circuits and Systems for Video Technology, 2018 | 86 | 2018 |
| A multi-scale non-uniformity correction method based on wavelet decomposition and guided filtering for uncooled long wave infrared camera Y Cao, Z He, J Yang, X Ye, Y Cao Signal Processing: Image Communication 60, 13-21, 2018 | 51 | 2018 |
| Spatially adaptive column fixed-pattern noise correction in infrared imaging system using 1D horizontal differential statistics Y Cao, Z He, J Yang, Y Cao, MY Yang IEEE photonics journal 9 (5), 1-13, 2017 | 41 | 2017 |
| Single image super‐resolution based on progressive fusion of orientation‐aware features Z He, D Chen, Y Cao, J Yang, Y Cao, X Li, S Tang, Y Zhuang, Z Lu Pattern Recognition 133, 109038, 2023 | 28 | 2023 |
| Orientation-aware deep neural network for real image super-resolution C Du, H Zewei, S Anshun, Y Jiangxin, C Yanlong, C Yanpeng, T Siliang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 26 | 2019 |
| Fast and accurate single image super-resolution via an energy-aware improved deep residual network Y Cao, Z He, Z Ye, X Li, Y Cao, J Yang Signal Processing 162, 115-125, 2019 | 23 | 2019 |
| Learning inter-and intraframe representations for non-Lambertian photometric stereo Y Cao, B Ding, Z He, J Yang, J Chen, Y Cao, X Li Optics and Lasers in Engineering 150, 106838, 2022 | 18 | 2022 |
| Computational framework for steady-state NLOS localization under changing ambient illumination conditions Y Cao, R Liang, J Yang, Y Cao, Z He, J Chen, X Li Optics Express 30 (2), 2438-2452, 2022 | 14 | 2022 |
| ESKN: Enhanced selective kernel network for single image super-resolution Z He, G Fu, Y Cao, Y Cao, J Yang, X Li Signal Processing 189, 108274, 2021 | 11 | 2021 |
| Deep neural network for fast and accurate single image super-resolution via channel-attention-based fusion of orientation-aware features D Chen, Z He, Y Cao, J Yang, Y Cao, MY Yang, S Tang, Y Zhuang arXiv preprint arXiv:1912.04016, 2019 | 9 | 2019 |
| Boosting image super-resolution via fusion of complementary information captured by multi-modal sensors Y Cao, F Wang, Z He, J Yang, Y Cao IEEE Sensors Journal 22 (4), 3405-3416, 2021 | 6 | 2021 |
| 红外热成像信号处理技术的研究进展 曹彦鹏， 许宝杯， 何泽威， 官大衍 振动. 测试与诊断 38 (2), 219-227, 2018 | 4 | 2018 |
| Prompt-based test-time real image dehazing: a novel pipeline Z Chen, Z He, Z Lu, X Sun, ZM Lu European Conference on Computer Vision, 432-449, 2024 | 3 | 2024 |
| Reddle-net: Reflectance decomposition for directional light estimation J Yang, B Ding, Z He, G Pan, Y Cao, Y Cao, Q Zheng Photonics 9 (9), 656, 2022 | 3 | 2022 |
| Multi-channel residual network model for accurate estimation of spatially-varying and depth-dependent defocus kernels Y Cao, Z Ye, Z He, J Yang, Y Cao, CL Tisse, MY Yang Optics express 28 (2), 2263-2275, 2020 | 3 | 2020 |
| Learning multiple criteria calibration for generalized zero-shot learning Z Lu, ZM Lu, Y Yu, Z He, H Luo, Y Zheng Knowledge-Based Systems 300, 112131, 2024 | 1 | 2024 |
Cao YanpengZhejiang University, Mechanical Engineering, SMIEEEEmail verificata su zju.edu.cn