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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  
A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM Journal article
Jinhai Lin, Ka-Fai Un, Wei-Han Yu, Rui P. Martins, Pui-In Mak. A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM[J]. IEEE Journal of Solid State Circuits, 2023, 58(11), 3020 - 3029.
Authors:  Jinhai Lin;  Ka-Fai Un;  Wei-Han Yu;  Rui P. Martins;  Pui-In Mak
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:4.6/5.6 | Submit date：2023/08/03
Capacitor-rom (Cap-rom)  Edge Computing  Feature Extraction  Model Reduction  Non-volatile Memory  Switched-capacitor Circuits  Voice Activity Detector (Vad)  Receptive Field  Recurrent Neural Network (Rnn)  
Receptive Field Fusion RetinaNet for Object Detection Journal article
Huang, He, Feng, Yong, Zhou, Ming Liang, Qiang, Baohua, Yan, Jielu, Wei, Ran. Receptive Field Fusion RetinaNet for Object Detection[J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2021, 30(10), 2150184.
Authors:  Huang, He;  Feng, Yong;  Zhou, Ming Liang;  Qiang, Baohua;  Yan, Jielu; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:0.9/0.9 | Submit date：2021/12/08
Multi-scale  Nms  Object Detection  One-stage Detector  Receptive Field  
A Visual-Attention Model Using Earth Mover’s Distance-Based Saliency Measurement and Nonlinear Feature Combination Journal article
Yuewei Lin, Yuan Yan Tang, Bin Fang, Zhaowei Shang, Yonghui Huang, Song Wang. A Visual-Attention Model Using Earth Mover’s Distance-Based Saliency Measurement and Nonlinear Feature Combination[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(2), 314 - 328.
Authors:  Yuewei Lin;  Yuan Yan Tang;  Bin Fang;  Zhaowei Shang;  Yonghui Huang; et al.
Favorite | TC[WOS]:31 TC[Scopus]:35  IF:20.8/22.2 | Submit date：2018/10/30
Dynamic Saliency Maps  Earth Mover's Distance (Emd)  Saliency Maps  Spatiotemporal Receptive Field (Strf)  Visual Attention