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Jian-Nan Su
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2020 – today
- 2024
- [j10]Xuwen Li, Min Gan, Jian-Nan Su, Guang-Yong Chen:
Efficient Moiré pattern removal with lightweight multi-scale feature extraction. J. Electronic Imaging 33(2) (2024) - [j9]Yi-Gang Zhao, Chaowei Zheng, Jian-Nan Su, Guang-Yong Chen:
Efficient learnable collaborative attention for single-image super-resolution. J. Electronic Imaging 33(6) (2024) - [j8]Bing-Yuan Chen, Jian-Nan Su, Guang-Yong Chen, Min Gan:
FISTA acceleration inspired network design for underwater image enhancement. J. Vis. Commun. Image Represent. 103: 104224 (2024) - [j7]Jian-Nan Su, Guodong Fan, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11476-11490 (2024) - [j6]Guang-Yong Chen, Wu-Ding Weng, Jian-Nan Su, Min Gan, C. L. Philip Chen:
Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4762-4772 (2024) - [j5]Wenzhong Guo, Wu-Ding Weng, Guang-Yong Chen, Jian-Nan Su, Min Gan, C. L. Philip Chen:
Unsupervised Degradation Aware and Representation for Real-World Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j4]Zishu Yao, Jian-Nan Su, Guodong Fan, Min Gan, C. L. Philip Chen:
GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework for Low-Light Image Enhancement. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j3]Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
High-Similarity-Pass Attention for Single Image Super-Resolution. IEEE Trans. Image Process. 33: 610-624 (2024) - [c2]Yu-Bin Liu, Jian-Nan Su, Guang-Yong Chen, Yi-Gang Zhao:
Weighted Adaptive Clustering Attention for Efficient Image Super-Resolution. IJCNN 2024: 1-8 - [c1]Yi-Gang Zhao, Jian-Nan Su, Guang-Yong Chen, Yu-Bin Liu:
Decoupled Non-Local Attention for Single Image Super-Resolution. IJCNN 2024: 1-8 - 2023
- [j2]Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8453-8465 (2023) - [i2]Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen:
High-Similarity-Pass Attention for Single Image Super-Resolution. CoRR abs/2305.15768 (2023) - 2022
- [j1]Qiong-Ying Chen, Long Chen, Jian-Nan Su, Ming-Jian Fu, Guang-Yong Chen:
Model selection for RBF-ARX models. Appl. Soft Comput. 121: 108723 (2022) - [i1]Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. CoRR abs/2212.01057 (2022)
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