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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
共29条,第1-10条
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作者:Shan, Shiguang
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CMOS-GAN: Semi-Supervised Generative Adversarial Model for Cross-Modality Face Image Synthesis
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 144-158
作者:
Yu, Shikang
;
Han, Hu
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/07/12
Cross-modality synthesis
semi-supervised synthesis
cross-modality face recognition
generative adversarial networks
Personalized Convolution for Face Recognition
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 页码: 19
作者:
Han, Chunrui
;
Shan, Shiguang
;
Kan, Meina
;
Wu, Shuzhe
;
Chen, Xilin
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/12/07
Face recognition
Personalized convolution
Personalized kernel
Interactive Regression and Classification for Dense Object Detector
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3684-3696
作者:
Zhou, Linmao
;
Chang, Hong
;
Ma, Bingpeng
;
Shan, Shiguang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/12/07
Location awareness
Detectors
Feature extraction
Object detection
Standards
Backpropagation
Pipelines
Dense object detector
localization information
interactive
Dual-Branch Meta-Learning Network With Distribution Alignment for Face Anti-Spoofing
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 138-151
作者:
Jia, Yunpei
;
Zhang, Jie
;
Shan, Shiguang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/12/07
Faces
Feature extraction
Testing
Face recognition
Databases
Training
Task analysis
Face anti-spoofing
face presentation attack detection
domain generalization
meta-learning
distribution alignment
deep learning
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 8, 页码: 3458-3470
作者:
Lai, Nan
;
Kan, Meina
;
Han, Chunrui
;
Song, Xingguang
;
Shan, Shiguang
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/01
Task analysis
Adaptation models
Training
Predictive models
Feature extraction
Generators
Computational modeling
Few-shot learning
meta-learning
predict classifier weights
task-adaptive predictor
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing
期刊论文
PATTERN RECOGNITION, 2021, 卷号: 115, 页码: 13
作者:
Jia, Yunpei
;
Zhang, Jie
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2021/12/01
Face anti-spoofing
Face presentation attack detection
Domain adaptation
Deep learning
What is a Tabby? Interpretable Model Decisions by Learning Attribute-Based Classification Criteria
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 5, 页码: 1791-1807
作者:
Liu, Haomiao
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/01
Cats
Prototypes
Visualization
Task analysis
Streaming media
Predictive models
Scalability
Interpretable model
visual attributes
convolutional neural network
classification criteria
Deep video code for efficient face video retrieval
期刊论文
PATTERN RECOGNITION, 2021, 卷号: 113, 页码: 11
作者:
Qiao, Shishi
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2021/12/01
Face video retrieval
Temporal feature pooling
Bounded triplet loss
Deep video code
Hash learning
Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection
期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 56-69
作者:
Wang, Guoqing
;
Han, Hu
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:267/0
  |  
提交时间:2020/12/10
Face
Feature extraction
Testing
Adaptation models
Databases
Deep learning
Three-dimensional displays
Face presentation attack detection
face liveness detection
face anti-spoofing
adversarial domain adaptation
metric learning
disentangled representation
Visual concept conjunction learning with recurrent neural networks
期刊论文
NEUROCOMPUTING, 2020, 卷号: 395, 页码: 229-236
作者:
Liang, Kongming
;
Chang, Hong
;
Shan, Shiguang
;
Chen, Xilin
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2020/12/10
Attribute learning
Concept conjunction
Visual relationship detection
Image retrieval