Jian-Nan Su 苏建楠
New Engineering Industry College |
![]() |
Last Update: 2024/09/09 |
I am a recent Ph.D. graduate from the College of Computer and Data Science at Fuzhou University,
under the supervision of Prof. Min Gan. Before this, I earned both my Bachelor's and Master's degrees from Fuzhou University.
Following my Master's degree, I spent three years working as an algorithm engineer at Imperial Vision Technology.
My research interests are primarily in low-level computer vision and machine learning.
![]() |
Revealing the Dark Side of Non-Local Attention in Single Image Super-Resolution
Jian-Nan Su, Guodong Fan, Min Gan, Guang-Yong Chen, Wenzhong Guo, and C. L. Philip Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024 [paper|code] |
![]() |
Unsupervised Degradation Aware and Representation for Real-World Remote Sensing Image Super-Resolution
Wen-Zhong Guo, Wu-Ding Weng, Guang-Yong Chen, Jian-Nan Su*, Min Gan, C. L. Philip Chen IEEE Transactions on Geoscience and Remote Sensing (TGRS) 2024 [paper|code] |
![]() |
High-Similarity-Pass Attention for Single Image Super-Resolution
Jian-Nan Su, Min Gan, Guang-Yong Chen, Wenzhong Guo, C. L. Philip Chen IEEE Transactions on Image Processing (TIP) 2024 [paper|code] |
![]() |
GACA: A Gradient-Aware and Contrastive-Adaptive Learning Framework for Low-Light Image Enhancement
Zishu Yao; Jian-Nan Su (Co-First Author); Guodong Fan; Min Gan; C. L. Philip Chen IEEE Transactions on Instrumentation and Measurement (TIM) 2024 [paper|code] |
![]() |
Dynamic Degradation Intensity Estimation for Adaptive Blind Super-Resolution: A Novel Approach and Benchmark Dataset
Guang-Yong Chen; Wu-Ding Weng; Jian-Nan Su*; Min Gan; C. L. Philip Chen IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023 [paper|code|dataset] |
![]() |
Global Learnable Attention for Single Image Super-Resolution
Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022 [paper|code] |