Journal of Shandong University(Engineering Science) ›› 2022, Vol. 52 ›› Issue (1): 1-8.doi: 10.6040/j.issn.1672-3961.0.2021.312
• Machine Learning & Data Mining • Next Articles
Tongyu JIANG1(),Fan CHEN2,Hongjie HE1,*()
CLC Number:
1 | BAI Yancheng, ZHANG Yongqiang, DING Mingli, et al. Finding tiny faces in the wild with generative adversarial network[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, USA: IEEE, 2018: 21-30. |
2 | BULAT A, TZIMIROPOULOS G. How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230, 000 3d facial landmarks)[C]//Proceeding of the IEEE International Conference on Computer Vision (ICCV). Venice, Italy: IEEE, 2017: 1021-1030. |
3 | DONG Chao, LOY C C, HE Kaiming, et al. Learning a deep convolutional network for image super-resolution[C]//Proceeding of the European Conference on Computer Vision (ECCV). Zurich, Switzerland: Springer, 2014: 184-199. |
4 | KIM J, KWON Lee J, MU Lee K. Accurate image super-resolution using very deep convolutional networks[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, USA: IEEE, 2016: 1646-1654. |
5 | LAI W S, HUANG J B, AHUJA N, et al. Deep laplacian pyramid networks for fast and accurate super-resolution[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, USA: IEEE, 2017: 624-632. |
6 | CHEN Yu, TAI Ying, LIU Xiaoming, et al. FSRNet: end-to-end learning face super-resolution with facial priors[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, USA: IEEE, 2018: 2492-2501. |
7 | MA Cheng, JIANG Zhenyu, RAO Yongming, et al. Deep face super-resolution with iterative collaboration between attentive recovery and landmark estimation[C]//Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). [S. l. ]: IEEE, 2020: 5569-5578. |
8 | ZHANG Yunchen, WU Yi, CHEN Liang. MSFSR: a multi-stage face super-resolution with accurate facial representation via enhanced facial boundaries[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). [S. l. ]: 2020: 504-505. |
9 | BULAT A, TZIMIROPOULOS G. Super-FAN: inte-grated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, USA: IEEE, 2018: 109-117. |
10 | KIM D, KIM M, KWON G, et al. Progressive face super-resolution via attention to facial landmark[C]//Proceeding of the British Machine Vision Conference (BMVC). Cardiff, UK: 2019. |
11 | RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmen-tation[C]//Proceeding of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Munich, Germany: Springer, 2015: 234-241. |
12 | LIU Ziwei, LUO Ping, WANG Xiaogang, et al. Deep learning face attributes in the wild[C]//Proceeding of the IEEE International Conference on Computer Vision (ICCV). Santiago, Chile: IEEE, 2015: 3730-3738. |
13 | LE V, BRANDT J, LIN Z, et al. Interactive facial feature localization[C]//Proceeding of the European Conference on Computer Vision (ECCV). Florence, Italy: Springer, 2012: 679-692. |
14 | GUO Yong, CHEN Jian, WANG Jingdong, et al. Closed-loop matters: dual regression networks for single image super-resolution[C]//Proceeding of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). [S. l. ]: IEEE, 2020: 5407-5416. |
15 | SHI Wenzhe, CABALLERO J, HUSZÁR F, et al. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, USA: IEEE, 2016: 1874-1883. |
16 | YU Xin, PORIKLI F. Ultra-resolving face images by discriminative generative networks[C]//Proceeding of the European Conference on Computer Vision (ECCV). Amsterdam, The Netherlands: Springer, 2016: 318-333. |
17 | CHEN Chaofeng , GONG Dihong , WANG Hao , et al. Learning spatial attention for face super-resolution[J]. IEEE Transactions on Image Processing, 2020, 30, 1219- 1231. |
18 | WU Xiang , HE Ran , SUN Zhenan , et al. A light cnn for deep face representation with noisy labels[J]. IEEE Transactions on Information Forensics and Security, 2018, 13 (11): 2884- 2896. |
19 | WANG Zhou , BOVIK A C , SHEIKH H R , et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13 (4): 600- 612. |
20 | ZHANG R, ISOLA P, EFROS A A, et al. The unreasonable effectiveness of deep features as a perceptual metric[C]//Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, USA: IEEE, 2018: 586-595. |
21 | ZHANG Yulun, TIAN Yapeng, KONG Yu, et al. Residual dense network for image super-resolution[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City, USA: IEEE, 2018: 2472-2481. |
22 | LI Zhen, YANG Jinglei, LIU Zheng, et al. Feedback network for image super-resolution[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, USA: IEEE, 2019: 3867-3876. |
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