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A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer Journal article
Lang, Shujun, Liu, Xu, Zhou, Mingliang, Luo, Jun, Pu, Huayan, Zhuang, Xu, Wang, Jason, Wei, Xuekai, Zhang, Taiping, Feng, Yong, Shang, Zhaowei. A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer[J]. IEEE Transactions on Broadcasting, 2024, 70(1), 316-324.
Authors:  Lang, Shujun;  Liu, Xu;  Zhou, Mingliang;  Luo, Jun;  Pu, Huayan; et al.
Favorite | TC[WOS]:6 TC[Scopus]:5  IF:3.2/3.6 | Submit date：2024/02/22
Conformer  Deep Learning  Distortion  Feature Extraction  Full-reference Image Quality Assessment  Image Quality  Knowledge-driven  Meta-learning  Metalearning  Task Analysis  Visualization  
PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask Journal article
Luo, Xiaoliu, Tian, Zhuotao, Zhang, Taiping, Yu, Bei, Tang, Yuan Yan, Jia, Jiaya. PFENet++: Boosting Few-Shot Semantic Segmentation with the Noise-Filtered Context-Aware Prior Mask[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(2), 1273 - 1289.
Authors:  Luo, Xiaoliu;  Tian, Zhuotao;  Zhang, Taiping;  Yu, Bei;  Tang, Yuan Yan; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:20.8/22.2 | Submit date：2024/03/12
Few-shot Learning  Few-shot Segmentation  Scene Understanding  Semantic Segmentation  
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  
Siamese networks with an online reweighted example for imbalanced data learning Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Zhou, Mingliang, Zhang, Mu, Gu, Dagang, Zhang, Taiping, Tang, Yuan Yan. Siamese networks with an online reweighted example for imbalanced data learning[J]. Pattern Recognition, 2022, 132, 108947.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Zhou, Mingliang;  Zhang, Mu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:7.5/7.6 | Submit date：2023/01/30
Few-shot Learning  Reweighted Example Learning  Data Mining  Imbalanced Learning  
Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component Conference paper
Xindi Ma, Jie Gao, Xiaoyu Liu, Taiping Zhang, Yuan Yan Tang. Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component[C]:IEEE, 2021, 1139-1144.
Authors:  Xindi Ma;  Jie Gao;  Xiaoyu Liu;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Exponential Gaussian Model  Indian Buffet Process  Nonnegative Matrix Factorization  Single Binary Components  
Siamese pyramid residual module with local binary convolution network for single object tracking Journal article
Nie, Yan, Zhang, Taiping, Zhao, Linchang, Ma, Xindi, Tang, Yuanyan, Liu, Xiaoyu. Siamese pyramid residual module with local binary convolution network for single object tracking[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2021, 19(6), 2150026.
Authors:  Nie, Yan;  Zhang, Taiping;  Zhao, Linchang;  Ma, Xindi;  Tang, Yuanyan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:0.9/1.1 | Submit date：2022/05/13
Local Binary Convolution Network  Object Tracking  Pyramid Residual Module  Siamese Networks  
Efficient residual attention network for single image super-resolution Journal article
Hao, Fangwei, Zhang, Taiping, Zhao, Linchang, Tang, Yuanyan. Efficient residual attention network for single image super-resolution[J]. Applied Intelligence, 2021, 52(1), 652-661.
Authors:  Hao, Fangwei;  Zhang, Taiping;  Zhao, Linchang;  Tang, Yuanyan
Favorite | TC[WOS]:10 TC[Scopus]:11  IF:3.4/3.9 | Submit date：2022/02/22
Channel Hourglass Residual Structure  Efficient Channel Attention Mechanism  Efficient Residual Attention Network  Image Super-resolution  
Multi-focus image fusion with Geometrical Sparse Representation Journal article
Tan, Jin, Zhang, Taiping, Zhao, Linchang, Luo, Xiaoliu, Tang, Yuan Yan. Multi-focus image fusion with Geometrical Sparse Representation[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 92, 116130.
Authors:  Tan, Jin;  Zhang, Taiping;  Zhao, Linchang;  Luo, Xiaoliu;  Tang, Yuan Yan
Favorite | TC[WOS]:17 TC[Scopus]:22  IF:3.4/3.3 | Submit date：2021/12/07
Average Pooling  Geometrical Sparse Representation  Multi-focus Image Fusion  
Low-rank matrix recovery from noise via an mdl framework-based atomic norm Journal article
Qin, Anyong, Xian, Lina, Yang, Yongliang, Zhang, Taiping, Yan Tang, Yuan. Low-rank matrix recovery from noise via an mdl framework-based atomic norm[J]. Sensors (Switzerland), 2020, 20(21), 1-21.
Authors:  Qin, Anyong;  Xian, Lina;  Yang, Yongliang;  Zhang, Taiping;  Yan Tang, Yuan
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.4/3.7 | Submit date：2021/12/06
Atomic Norm  Low-rank Matrix Recovery  Minimum Description Length Principle  Robust Principal Components Analysis  
Adaptive parameter estimation of GMM and its application in clustering Journal article
Zhao, Linchang, Shang, Zhaowei, Tan, Jin, Luo, Xiaoliu, Zhang, Taiping, Wei, Yu, Tang, Yuan Yan. Adaptive parameter estimation of GMM and its application in clustering[J]. Future Generation Computer Systems, 2020, 106, 250-259.
Authors:  Zhao, Linchang;  Shang, Zhaowei;  Tan, Jin;  Luo, Xiaoliu;  Zhang, Taiping; et al.
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:6.2/5.9 | Submit date：2021/12/06
Machine Learning  Parameter Estimation  Data Clustering  Variational Bayesian Expected Maximum