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A landmark-free approach for automatic, dense and robust correspondence of 3D faces 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 14
Authors:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong
Favorite  |  View/Download：29/0  |  Submit date：2022/11/14
3D face  Dense correspondence  Non -rigid registration  
Regularizing deep networks with label geometry for accurate object localization on small training datasets 期刊论文
PATTERN RECOGNITION LETTERS, 2022, 卷号: 154, 页码: 53-59
Authors:  Wang, Xiaolian;  Hu, Xiyuan;  Chen, Chen;  Peng, Silong
Adobe PDF(1455Kb)  |  Favorite  |  View/Download：67/6  |  Submit date：2022/06/10
Object detection  Object localization  Label geometry  Box evolution  Small dataset  Human-machine interaction  
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
Authors:  Xu, Shanbo;  Chen, Chen;  Peng, Silong;  Hu, Xiyuan
Adobe PDF(7487Kb)  |  Favorite  |  View/Download：44/0  |  Submit date：2022/06/14
computer vision  scene text spotting  irregular text  
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 5, 页码: 23
Authors:  Rahman, Md Habibur;  Rana, Humayan Kabir;  Peng, Silong;  Hu, Xiyuan;  Chen, Chen;  Quinn, Julian M. W.;  Moni, Mohammad Ali
Favorite  |  View/Download：52/0  |  Submit date：2021/12/28
bioinformatics  machine learning  central nervous system disorders  glioblastoma  comorbidity  pathway  ontology  proteins  survival analysis  
Accurate AM-FM signal demodulation and separation using nonparametric regularization method 期刊论文
SIGNAL PROCESSING, 2021, 卷号: 186, 页码: 12
Authors:  Hu, Xiyuan;  Peng, Silong;  Guo, Baokui;  Xu, Pengcheng
Favorite  |  View/Download：61/0  |  Submit date：2021/08/15
Nonparametric regularization method  AM-FM signal  Null space pursuit (NSP)  Differential equation  Signal demodulation and separation  
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1239-1251
Authors:  Cao, Min;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Peng, Silong;  Kuijper, Arjan
Favorite  |  View/Download：77/0  |  Submit date：2021/06/07
Probes  Feature extraction  Computational complexity  Visualization  Manifolds  Context modeling  Training  Contextual information  person re-identification  post-processing  
Deep Top-rank Counter Metric for Person Re-identification 会议论文
, Milan, Italy, 2021-1
Authors:  Chen Chen;  Hao Dou;  Xiyuan Hu;  Silong Peng
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person re-identification  metric learning  top-rank counter  deep learning  
Asymmetric CycleGAN for image-to-image translations with uneven complexities 期刊论文
NEUROCOMPUTING, 2020, 卷号: 415, 期号: 2020, 页码: 114-122
Authors:  Dou, Hao;  Chen, Chen;  Hu, Xiyuan;  Jia, Libang;  Peng, Silong
Adobe PDF(3009Kb)  |  Favorite  |  View/Download：102/6  |  Submit date：2021/01/07
Unpaired Image Translation  CycleGAN  Asymmetric Translation  Average Image Entropy  Edge-retain Prior  
基于视频动态前景掩膜的目标类别修正方法、检测方法 专利
专利类型: 发明专利, 专利号: ZL201910087340.5, 申请日期: 2020-11-01,
Inventors:  胡晰远;  王晓莲;  陈晨;  彭思龙
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CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words 期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
Authors:  Yuan, Yong;  Chen, Chen;  Hu, Xiyuan;  Peng, Silong
Favorite  |  View/Download：116/0  |  Submit date：2021/03/08
entropy  image classification  learning (artificial intelligence)  neural nets  object detection  optimisation  quantisation (signal)  network structure  DNN  low-bit quantization  time-consuming training  compressor-based fast nonuniform quantization method  quantization model  post-training quantization methods  deep neural networks  network quantization  compressor-based nonuniform quantization  CNQ  Non-uniform quantization  Knowledge distillation  Unlabeled samples  Network compression