| Lednet: A lightweight encoder-decoder network for real-time semantic segmentation Y Wang, Q Zhou, J Liu, J Xiong, G Gao, X Wu, LJ Latecki 2019 IEEE international conference on image processing (ICIP), 1860-1864, 2019 | 452 | 2019 |
| Multi-scale deep context convolutional neural networks for semantic segmentation Q Zhou, W Yang, G Gao, W Ou, H Lu, J Chen, LJ Latecki World Wide Web 22, 555-570, 2019 | 132 | 2019 |
| Chinese image captioning via fuzzy attention-based DenseNet-BiLSTM H Lu, R Yang, Z Deng, Y Zhang, G Gao, R Lan ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 124 | 2021 |
| Learning robust and discriminative low-rank representations for face recognition with occlusion G Gao, J Yang, XY Jing, F Shen, W Yang, D Yue Pattern Recognition 66, 129-143, 2017 | 117 | 2017 |
| Lightweight bimodal network for single-image super-resolution via symmetric CNN and recursive transformer G Gao, Z Wang, J Li, W Li, Y Yu, T Zeng arXiv preprint arXiv:2204.13286, 2022 | 109 | 2022 |
| CTCNet: A CNN-transformer cooperation network for face image super-resolution G Gao, Z Xu, J Li, J Yang, T Zeng, GJ Qi IEEE Transactions on Image Processing 32, 1978-1991, 2023 | 102 | 2023 |
| FBSNet: A fast bilateral symmetrical network for real-time semantic segmentation G Gao, G Xu, J Li, Y Yu, H Lu, J Yang IEEE Transactions on Multimedia 25, 3273-3283, 2022 | 100 | 2022 |
| Feature distillation interaction weighting network for lightweight image super-resolution G Gao, W Li, J Li, F Wu, H Lu, Y Yu Proceedings of the AAAI conference on artificial intelligence 36 (1), 661-669, 2022 | 99 | 2022 |
| MSCFNet: A lightweight network with multi-scale context fusion for real-time semantic segmentation G Gao, G Xu, Y Yu, J Xie, J Yang, D Yue IEEE Transactions on Intelligent Transportation Systems 23 (12), 25489-25499, 2021 | 99 | 2021 |
| Regional deep learning model for visual tracking G Wu, W Lu, G Gao, C Zhao, J Liu Neurocomputing 175, 310-323, 2016 | 94 | 2016 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Integration of multiple orientation and texture information for finger-knuckle-print verification G Gao, J Yang, J Qian, L Zhang Neurocomputing 135, 180-191, 2014 | 74 | 2014 |
| Adaptive deformable convolutional network F Chen, F Wu, J Xu, G Gao, Q Ge, XY Jing Neurocomputing 453, 853-864, 2021 | 68 | 2021 |
| Lightweight real-time semantic segmentation network with efficient transformer and CNN G Xu, J Li, G Gao, H Lu, J Yang, D Yue IEEE Transactions on Intelligent Transportation Systems 24 (12), 15897-15906, 2023 | 65 | 2023 |
| Discriminative histograms of local dominant orientation (D-HLDO) for biometric image feature extraction J Qian, J Yang, G Gao Pattern Recognition 46 (10), 2724-2739, 2013 | 61 | 2013 |
| Hierarchical deep CNN feature set-based representation learning for robust cross-resolution face recognition G Gao, Y Yu, J Yang, GJ Qi, M Yang IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 2550-2560, 2020 | 56 | 2020 |
| Reconstruction based finger-knuckle-print verification with score level adaptive binary fusion G Gao, L Zhang, J Yang, L Zhang, D Zhang IEEE transactions on image processing 22 (12), 5050-5062, 2013 | 54 | 2013 |
| Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression G Gao, Y Yu, M Yang, H Chang, P Huang, D Yue Information Sciences 506, 19-36, 2020 | 51 | 2020 |
| Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution G Gao, Y Yu, J Xie, J Yang, M Yang, J Zhang Pattern Recognition 110, 107539, 2021 | 45 | 2021 |
| Fuzzy linear regression discriminant projection for face recognition P Huang, G Gao, C Qian, G Yang, Z Yang IEEE Access 5, 4340-4349, 2017 | 45 | 2017 |
Jian YangProf. of Computer Science, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证