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LID-Net: A lightweight image dehazing network for automatic driving vision systems Journal article
Tao, Fazhan, Chen, Qi, Fu, Zhigao, Zhu, Longlong, Ji, Baofeng. LID-Net: A lightweight image dehazing network for automatic driving vision systems[J]. Digital Signal Processing: A Review Journal, 2024, 154, 104673.
Authors:  Tao, Fazhan;  Chen, Qi;  Fu, Zhigao;  Zhu, Longlong;  Ji, Baofeng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2024/08/05
Attention Mechanism  Automatic Driving  Image Dehazing  Multi-scale Feature  Receptive Field  
Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing Journal article
Liu, Huanbai, Zhang, Fanlong, Tan, Yin, Huang, Lian, Li, Yan, Huang, Guoheng, Luo, Shenghong, Zeng, An. Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing[J]. Measurement Science and Technology, 2024, 35(8), 086138.
Authors:  Liu, Huanbai;  Zhang, Fanlong;  Tan, Yin;  Huang, Lian;  Li, Yan; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:2.7/2.4 | Submit date：2024/07/04
Bidirectional Gated Recurrent Unit  Cross Self- Attention  Fault Diagnosis  Multi-scale Quaternion Convolutional Layer  
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis Journal article
Zuo, Qiankun, Li, Ruiheng, Shi, Binghua, Hong, Jin, Zhu, Yanfei, Chen, Xuhang, Wu, Yixian, Guo, Jia. U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis[J]. Frontiers in Computational Neuroscience, 2024, 18, 1387004.
Authors:  Zuo, Qiankun;  Li, Ruiheng;  Shi, Binghua;  Hong, Jin;  Zhu, Yanfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:2.1/2.9 | Submit date：2024/05/16
Brain Neurological Disease  Central Connectivity Perception  Hierarchical Topological Transformer  Multi-head Attention  Multi-level Temporal-correlated Attention  Time-series Restoration  
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos Journal article
Liang, Rongqin, Li, Yuanman, Zhou, Jiantao, Li, Xia. Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.
Authors:  Liang, Rongqin;  Li, Yuanman;  Zhou, Jiantao;  Li, Xia
Favorite | TC[Scopus]:0  IF:8.3/7.1 | Submit date：2024/05/16
Traffic Anomaly Detection  Multi-modality Learning  High Frequency  Attention  
GENERALIZED UNCERTAINTY-BASED EVIDENTIAL FUSION WITH HYBRID MULTI-HEAD ATTENTION FOR WEAK-SUPERVISED TEMPORAL ACTION LOCALIZATION Conference paper
He, Yuanpeng, Li, Lijian, Zhan, Tianxiang, Jiao, Wenpin, Pun, Chi Man. GENERALIZED UNCERTAINTY-BASED EVIDENTIAL FUSION WITH HYBRID MULTI-HEAD ATTENTION FOR WEAK-SUPERVISED TEMPORAL ACTION LOCALIZATION[C]:IEEE, 2024, 3855-3859.
Authors:  He, Yuanpeng;  Li, Lijian;  Zhan, Tianxiang;  Jiao, Wenpin;  Pun, Chi Man
Favorite | TC[Scopus]:0 | Submit date：2024/08/05
Generalized Uncertainty-based Evidential Fusion  Hybrid Multi-head Attention  Weakly-supervised Temporal Action Localization  
Multiple-Person Tracking with Criss-Cross Attention and Deep Matching Conference paper
Liu Zhuoyang, ZHANG LIMING. Multiple-Person Tracking with Criss-Cross Attention and Deep Matching[C]:Institute of Electrical and Electronics Engineers Inc., 2023, 455-459.
Authors:  Liu Zhuoyang;  ZHANG LIMING
Favorite | TC[Scopus]:0 | Submit date：2023/12/11
Multi-object Tracking  Criss-cross Attention  Deep Feature  
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network Journal article
Yan Xiaoan, Yan Wangji, Xu Yadong, Yuen Kaveng. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network[J]. Mechanical Systems and Signal Processing, 2023, 202, 110664.
Authors:  Yan Xiaoan;  Yan Wangji;  Xu Yadong;  Yuen Kaveng
Adobe PDF | Favorite | TC[WOS]:28 TC[Scopus]:31  IF:7.9/8.0 | Submit date：2023/08/30
Multivariate Feature Mode Decomposition  Multi-attention Fusion Residual Convolutional Neural Network  Multi-sensor Data  Machinery Fault Diagnosis  
Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement Journal article
Zhong,Guojin, Ding,Weiping, Chen,Long, Wang,Yingxu, Yu,Yu Feng. Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(4), 1113-1125.
Authors:  Zhong,Guojin;  Ding,Weiping;  Chen,Long;  Wang,Yingxu;  Yu,Yu Feng
Favorite | TC[WOS]:13 TC[Scopus]:17  IF:5.3/5.7 | Submit date：2023/08/03
Gan  Medical Image Enhancement  Attention  Multi-scale  Deep Semantic Feature  
SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification Journal article
Huang, Xiaohui, Zhou, Yunfei, Yang, Xiaofei, Zhu, Xianhong, Wang, Ke. SS-TMNet: Spatial–Spectral Transformer Network with Multi-Scale Convolution for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(5), 1206.
Authors:  Huang, Xiaohui;  Zhou, Yunfei;  Yang, Xiaofei;  Zhu, Xianhong;  Wang, Ke
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:4.2/4.9 | Submit date：2023/04/03
Attention Mechanism  Convolution Neural Network (Cnn)  Hyperspectral Image (Hsi) Classification  Multi-scale 3d Convolution  
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