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A novel infrared spectral preprocessing method based on self-deconvolution and differentiation in the frequency domain 期刊论文
VIBRATIONAL SPECTROSCOPY, 2023, 卷号: 127, 页码: 11
作者:  Shan, Peng;  Liu, Junyi;  He, Zhonghai;  Peng, Silong;  Wang, Fei;  Liu, Chengzhao;  Zhou, Zheng
收藏  |  浏览/下载：108/0  |  提交时间：2023/11/17
Spectral preprocessing  Quantitative analysis  Fourier transform Infrared spectroscopy  
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:  Shan, Peng;  Bi, Yiming;  Li, Zhigang;  Wang, Qiaoyun;  He, Zhonghai;  Zhao, Yuhui;  Peng, Silong
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17
Model adaptation  Domain-invariant feature representation  Projected maximum mean discrepancy  Kernel partial least squares  
A clinical study of a CD44v6-targeted fluorescent agent for the detection of non-muscle invasive bladder cancer 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 13
作者:  Shang, Wenting;  Peng, Li;  He, Kunshan;  Guo, Pengyu;  Deng, Han;  Liu, Yu;  Chen, Ziyin;  Tian, Jie;  Xu, Wanhai
收藏  |  浏览/下载：181/0  |  提交时间：2022/06/06
Bladder cancer  Near-infrared imaging  Peptide  Diagnosis  Endoscopy  
CCANet: Exploiting Pixel-wise Semantics for Irregular Scene Text Spotting 会议论文
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Shanghai, China, 2021-10
作者:  Xu, Shanbo;  Chen, Chen;  Peng, Silong;  Hu, Xiyuan
Adobe PDF(7487Kb)  |  收藏  |  浏览/下载：177/21  |  提交时间：2022/06/14
computer vision  scene text spotting  irregular text  
Multi-Frame Feature Aggregation for Real-Time Instrument Segmentation in Endoscopic Video 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 4, 页码: 6773-6780
作者:  Lin, Shan;  Qin, Fangbo;  Peng, Haonan;  Bly, Randall A.;  Moe, Kris S.;  Hannaford, Blake
收藏  |  浏览/下载：175/0  |  提交时间：2021/11/02
Computer vision for medical robotics  deep learning for visual perception  object detection  segmentation and categorization  
A nonlinear calibration transfer method based on joint kernel subspace 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 卷号: 210, 页码: 14
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Wang, Shuyu;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：169/0  |  提交时间：2021/05/06
Calibration transfer  Multivariate calibration  Joint kernel subspace  Kernel partial least squares (KPLS)  
PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 13
作者:  Ying, Yao;  Zhang, Nengbo;  Shan, Peng;  Miao, Ligang;  Sun, Peng;  Peng, Silong
收藏  |  浏览/下载：184/0  |  提交时间：2021/05/06
Activation function  Sigmoid  Parametric sigmoid  Squeeze-and-excitation  Convolutional neural network  
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：198/0  |  提交时间：2020/03/30
Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)  
ScaleNet_ a convolutional network to extract multi-scale and fine-grained visual features 期刊论文
IEEE Access, 2019, 期号: 7, 页码: 147560-147570
作者:  Zhang Jinpeng;  Zhang Jinming;  Hu Guyue;  Cheng Yang;  Yu Shan
浏览  |  Adobe PDF(1764Kb)  |  收藏  |  浏览/下载：326/92  |  提交时间：2019/12/31
Image Classification  Convolutional Neural Networks  Resnet  Deconvolution  
Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition 会议论文
, Graz, Austria, 2019-9-15
作者:  Liu, Bin;  Nie, Shuai;  Liang, Shan;  Liu, Wenju;  Yu, Meng;  Chen, Lianwu;  Peng, Shouye;  Li, Changliang
浏览  |  Adobe PDF(350Kb)  |  收藏  |  浏览/下载：238/99  |  提交时间：2020/05/15
End-to-end Speech Recognition  Robust Speech Recognition  Speech Enhancement  Generative Adversarial Networks