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A 28-nm Computing-in-Memory-Based Super-Resolution Accelerator Incorporating Macro-Level Pipeline and Texture/Algebraic Sparsity Journal article
Wu, Hao, Chen, Yong, Yuan, Yiyang, Yue, Jinshan, Fu, Xiangqu, Ren, Qirui, Luo, Qing, Mak, Pui In, Wang, Xinghua, Zhang, Feng. A 28-nm Computing-in-Memory-Based Super-Resolution Accelerator Incorporating Macro-Level Pipeline and Texture/Algebraic Sparsity[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2024, 71(2), 689-702.
Authors:  Wu, Hao;  Chen, Yong;  Yuan, Yiyang;  Yue, Jinshan;  Fu, Xiangqu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.2/4.5 | Submit date：2024/02/22
Algebraic Sparsity (As)  Cmos  Computing-in-memory (Cim)  Multiply-accumulation (Mac)  Structured Sparsity (Ss)  Super-resolution (Sr)  Texture Sparsity (Ts)  
Review of 2D Animation Restoration in Visual Domain Based on Deep Learning Journal article
Li, Yuhang, Xie, Liangbin, Dong, Chao. Review of 2D Animation Restoration in Visual Domain Based on Deep Learning[J]. Journal of Frontiers of Computer Science and Technology, 2023, 17(12), 2808-2826.
Authors:  Li, Yuhang;  Xie, Liangbin;  Dong, Chao
Favorite | TC[Scopus]:0 | Submit date：2024/01/02
Animation Interpolation  Animation Restoration  Deep Learning  Super-resolution  
Quantitatively Lighting up the Spatial Organization of CD47/SIRPα Immune Checkpoints on the Cellular Membrane with Single-Molecule Localization Microscopy Journal article
Wei, Yurong, Zhao, Min, He, Tianpei, Chen, Na, Rao, Li, Chen, Long, Zhang, Yun, Yang, Yanbing, Yuan, Quan. Quantitatively Lighting up the Spatial Organization of CD47/SIRPα Immune Checkpoints on the Cellular Membrane with Single-Molecule Localization Microscopy[J]. ACS Nano, 2023, 17(21), 21626-21638.
Authors:  Wei, Yurong;  Zhao, Min;  He, Tianpei;  Chen, Na;  Rao, Li; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:15.8/16.2 | Submit date：2024/01/10
Bioimaging  Cd47/sirpα  Immune Checkpoint  Immunotherapy  Super Resolution  
RAN: Region-Aware Network for Remote Sensing Image Super-Resolution Journal article
Liu, Baodi, Zhao, Lifei, Shao, Shuai, Liu, Weifeng, Tao, Dapeng, Cao, Weijia, Zhou, Yicong. RAN: Region-Aware Network for Remote Sensing Image Super-Resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 5408113.
Authors:  Liu, Baodi;  Zhao, Lifei;  Shao, Shuai;  Liu, Weifeng;  Tao, Dapeng; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:7.5/7.6 | Submit date：2024/02/22
Attention Mechanism  Contrastive Learning  Graph Neural Network  Remote Sensing (Rs) Image Super-resolution (Sr)  
Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution Journal article
Wang, Xiaobin, Jiang, Wenzong, Xing, Lei, Shao, Shuai, Liu, Weifeng, Wang, Yanjiang, Cao, Weijia, Liu, Baodi, Zhou, Yicong. Multi-scale feature fusion kernel estimation with masked interpolation loss for real-world remote sensing images super-resolution[J]. International Journal of Remote Sensing, 2023, 44(18), 5597-5627.
Authors:  Wang, Xiaobin;  Jiang, Wenzong;  Xing, Lei;  Shao, Shuai;  Liu, Weifeng; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:3.0/3.3 | Submit date：2024/02/22
Image Super-resolution  Kernel Estimation  Masked Interpolation Loss  Multi-scale Feature Fusion  Remote Sensing  
MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer’s Disease Conference paper
Huang, Guoli, Chen, Xuhang, Shen, Yanyan, Wang, Shuqiang. MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer’s Disease[C], 2023, 146-157.
Authors:  Huang, Guoli;  Chen, Xuhang;  Shen, Yanyan;  Wang, Shuqiang
Favorite | TC[Scopus]:10 | Submit date：2024/02/22
Alzheimer’s Disease Assessment  Diffusion Model  Discrete Wavelet Transformation  Mr Image Super-resolution  
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning Journal article
Zhiyu Zhu, Junhui Hou, Jie Chen, Huanqiang Zeng, Jiantao Zhou. Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning[J]. IEEE Transactions on Image Processing, 2023, 30, 1423-1438.
Authors:  Zhiyu Zhu;  Junhui Hou;  Jie Chen;  Huanqiang Zeng;  Jiantao Zhou
Adobe PDF | Favorite | TC[WOS]:59 TC[Scopus]:65  IF:10.8/12.1 | Submit date：2021/03/11
Hyperspectral Imagery  Super-resolution  Image Fusion  Deep Learning  Zero-mean Normalization  Cross-modality  
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention Conference paper
Zhou,Lin, Cai,Haoming, Gu,Jinjin, Li,Zheyuan, Liu,Yingqi, Chen,Xiangyu, Qiao,Yu, Dong,Chao. Efficient Image Super-Resolution Using Vast-Receptive-Field Attention[C]. Tomer Michaeli, Leonid Karlinsky, Ko Nishino:Springer Science and Business Media Deutschland GmbH, 2023, 256-272.
Authors:  Zhou,Lin;  Cai,Haoming;  Gu,Jinjin;  Li,Zheyuan;  Liu,Yingqi; et al.
Favorite | TC[Scopus]:41 | Submit date：2023/08/03
Attention Mechanism  Deep Convolution Network  Image Super-resolution  
A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution Conference paper
Yang, Yanjie, Luo, Jun, Pu, Huayan, Zhou, Mingliang, Wei, Xuekai, Zhang, Taiping, Shang, Zhaowei. A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution[C], 2023.
Authors:  Yang, Yanjie;  Luo, Jun;  Pu, Huayan;  Zhou, Mingliang;  Wei, Xuekai; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/02/22
Attention  Lightweight  Multi-scale  Super-resolution  
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution Journal article
Jinhui Hou, Zhiyu Zhu, Junhui Hou, Huanqiang Zeng, Jinjian Wu, Jiantao Zhou. Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution[J]. IEEE Transactions on Image Processing, 2022, 31, 5720-5732.
Authors:  Jinhui Hou;  Zhiyu Zhu;  Junhui Hou;  Huanqiang Zeng;  Jinjian Wu; et al.
Favorite | TC[WOS]:14 TC[Scopus]:14  IF:10.8/12.1 | Submit date：2022/08/21
Hyperspectral Imagery  Deep Learning  Super-resolution  Convolution  High-dimensional Feature Extraction  Probability