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Juncheng Li
Juncheng Li
在 math.cuhk.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Multi-scale residual network for image super-resolution
J Li, F Fang, K Mei, G Zhang
ECCV, 2018
4432018
NTIRE 2018 challenge on image dehazing: Methods and results
C Ancuti, CO Ancuti, R Timofte, L Van Gool, L Zhang, MH Yang, VM Patel, ...
CVPR Workshop, 2018
1232018
Soft-Edge Assisted Network for Single Image Super-Resolution
F Fang, J Li, T Zeng
IEEE Transactions on Image Processing (TIP) 29, 4656-4668, 2020
592020
Progressive feature fusion network for realistic image dehazing
K Mei, A Jiang, J Li, M Wang
ACCV, 2018
592018
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
J Li, F Fang, J Li, K Mei, G Zhang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 31 (7 …, 2020
292020
Aim 2019 challenge on raw to rgb mapping: Methods and results
A Ignatov, R Timofte, SJ Ko, SW Kim, KH Uhm, SW Ji, SJ Cho, JP Hong, ...
ICCV Workshop, 2019
192019
Multilevel Edge Features Guided Network for Image Denoising
F Fang, J Li, Y Yuan, T Zeng, G Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 32 (9 …, 2020
172020
Lightweight and Accurate Recursive Fractal Network for Image Super-Resolution
J Li, Y Yuan, K Mei, F Fang
ICCV Workshop (Oral), 2019
162019
Transformer for single image super-resolution
Z Lu, J Li, H Liu, C Huang, L Zhang, T Zeng
CVPR Workshop, 2022
13*2022
Luminance-aware Pyramid Network for Low-light Image Enhancement
J Li#, J Li#, F Fang, F Li, G Zhang
IEEE Transactions on Multimedia (TMM) 23, 3153 - 3165, 2020
132020
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte
CVPR Workshop, 2022
112022
Higher-resolution network for image demosaicing and enhancing
K Mei, J Li, J Zhang, H Wu, J Li, R Huang
ICCV Workshop, 2019
112019
From beginner to master: A survey for deep learning-based single-image super-resolution
J Li, Z Pei, T Zeng
arXiv preprint arXiv:2109.14335, 2021
102021
Structure-Preserving Deraining with Residue Channel Prior Guidance
Q Yi, J Li, Q Dai, F Fang, G Zhang, T Zeng
ICCV, 2021
102021
An effective single-image super-resolution model using squeeze-and-excitation networks
K Mei, A Jiang, J Li, J Ye, M Wang
ICONIP, 2018
92018
Scale-aware network with regional and semantic attentions for crowd counting under cluttered background
Q Yi, Y Liu, A Jiang, J Li, K Mei, M Wang
arXiv preprint arXiv:2101.01479, 2021
72021
Lightweight Image Super-Resolution with Multi-scale Feature Interaction Network
Z Wang, G Gao, J Li, Y Yu, H Lu
ICME, 2021
62021
Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Q Yi#, J Li#, F Fang, A Jiang, G Zhang
IEEE Transactions on Multimedia (TMM) 24, 3114 - 3128, 2021
62021
Edge-guided composition network for image stitching
Q Dai, F Fang, J Li, G Zhang, A Zhou
Pattern Recognition 118, 108019, 2021
42021
Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Q Dai, J Li, Q Yi, F Fang, G Zhang
ACMMM, 2021
42021
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