| Deep learning on image denoising: An overview C Tian, L Fei, W Zheng, Y Xu, W Zuo, CW Lin Neural Networks 131, 251-275, 2020 | 923 | 2020 |
| Attention-guided CNN for image denoising C Tian, Y Xu, Z Li, W Zuo, L Fei, H Liu Neural Networks 124, 117-129, 2020 | 528 | 2020 |
| Image denoising using deep CNN with batch renormalization C Tian, Y Xu, W Zuo Neural Networks 121, 461-473, 2020 | 471 | 2020 |
| Coarse-to-fine CNN for image super-resolution C Tian, Y Xu, W Zuo, B Zhang, L Fei, CW Lin IEEE Transactions on Multimedia 23, 1489-1502, 2021 | 196 | 2021 |
| Multi-stage image denoising with the wavelet transform C Tian, M Zheng, W Zuo, B Zhang, Y Zhang, D Zhang Pattern Recognition 134, 109050, 2023 | 178 | 2023 |
| Enhanced CNN for image denoising C Tian, Y Xu, L Fei, J Wang, J Wen, N Luo CAAI Transactions on Intelligence Technology 4 (1), 17-23, 2019 | 175 | 2019 |
| A robust deformed convolutional neural network (CNN) for image denoising Q Zhang, J Xiao, C Tian*, J ChunWei Lin, S Zhang CAAI Transactions on Intelligence Technology, 2022 | 154 | 2022 |
| Deep learning for image denoising: A survey C Tian, Y Xu, L Fei, K Yan Genetic and Evolutionary Computing: Proceedings of the Twelfth International …, 2019 | 144 | 2019 |
| Designing and training of a dual CNN for image denoising C Tian, Y Xu, W Zuo, B Du, CW Lin, D Zhang Knowledge-Based Systems 226, 106949, 2021 | 143 | 2021 |
| Lightweight image super-resolution with enhanced CNN C Tian, R Zhuge, Z Wu, Y Xu, W Zuo, C Chen, CW Lin Knowledge-Based Systems, 2020 | 127 | 2020 |
| Low-rank representation with adaptive graph regularization J Wen, X Fang, Y Xu, C Tian, L Fei Neural Networks 108, 83-96, 2018 | 120 | 2018 |
| Asymmetric CNN for image superresolution C Tian, Y Xu, W Zuo, CW Lin, D Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (6), 3718-3730, 2021 | 102 | 2021 |
| Image Super-resolution with An Enhanced Group Convolutional Neural Network C Tian, Y Yuan, S Zhang, CW Lin, W Zuo, D Zhang Neural Networks 153, 373-385, 2022 | 81 | 2022 |
| A Hybrid CNN for Image Denoising M Zheng, K Zhi, J Zeng, C Tian, L You Journal of Artificial Intelligence and Technology, 2022 | 76 | 2022 |
| Generative adversarial networks for image super-resolution: A survey C Tian, X Zhang, JCW Lin, W Zuo, Y Zhang, CW Lin arXiv preprint arXiv:2204.13620, 2022 | 69 | 2022 |
| A heterogeneous group CNN for image super-resolution C Tian, Y Zhang, W Zuo, CW Lin, D Zhang, Y Yuan IEEE transactions on neural networks and learning systems, 2022 | 61 | 2022 |
| FFT consolidated sparse and collaborative representation for image classification C Tian, Q Zhang, G Sun, Z Song, S Li Arabian Journal for Science and Engineering 43, 741-758, 2018 | 36 | 2018 |
| Jointly heterogeneous palmprint discriminant feature learning L Fei, B Zhang, Y Xu, C Tian, I Rida, D Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4979-4990, 2021 | 34 | 2021 |
| Integrating sparse and collaborative representation classifications for image classification C Tian, G Sun, Q Zhang, W Wang, T Chen, Y Sun International Journal of Image and Graphics 17 (02), 1750007, 2017 | 31 | 2017 |
| Transformer-based cross reference network for video salient object detection K Huang, C Tian*, J Su, JC Lin Pattern Recognition Letters, 2022 | 30 | 2022 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of Technology在 hit.edu.cn 的电子邮件经过验证
