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科研机构
自动化研究所 [43]
内容类型
期刊论文 [32]
会议论文 [8]
学位论文 [3]
发表日期
2023 [3]
2022 [8]
2021 [9]
2020 [8]
2019 [7]
2018 [3]
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A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning
期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16
作者:
Zhang, Yuxin
;
Tang, Fan
;
Dong, Weiming
;
Huang, Haibin
;
Ma, Chongyang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Arbitrary style transfer
contrastive learning
style encoding
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8920-8935
作者:
Cao, Jie
;
Luo, Mandi
;
Yu, Junchi
;
Yang, Ming-Hsuan
;
He, Ran
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Generative adversarial networks
image synthesis
data augmentation
few-shot image-to-image translation
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:
Xiao Wang
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  |  
浏览/下载:8/0
  |  
提交时间:2023/08/02
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
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  |  
浏览/下载:16/0
  |  
提交时间:2023/01/09
Contour feature learning
data augmentation
deep forest
fuzzy logic
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:
Fan, Chen-Chen
;
Peng, Liang
;
Wang, Tian
;
Yang, Hongjun
;
Zhou, Xiao-Hu
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  |  
浏览/下载:42/0
  |  
提交时间:2022/09/19
Magnetic resonance imaging
Generative adversarial networks
Task analysis
Three-dimensional displays
Training
Generators
Data models
Alzheimer's disease
magnetic resonance imaging
generative adversarial network
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:
Wei, Wei
;
Li, Daheng
;
Wang, Peng
;
Li, Yiming
;
Li, Wanyi
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/03/17
Deep learning in grasping and manipulation
multifingered hands
computer vision for automation
point cloud completion
iterative refinement
Joint Expression Synthesis and Representation Learning for Facial Expression Recognition
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1681-1695
作者:
Zhang, Xi
;
Zhang, Feifei
;
Xu, Changsheng
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  |  
浏览/下载:17/0
  |  
提交时间:2022/06/06
Face recognition
Task analysis
Generative adversarial networks
Image synthesis
Image recognition
Faces
Training
Facial expression recognition
facial image synthesis
generative adversarial network
representation learning
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Jin, Junchen
;
Rong, Dingding
;
Zhang, Tong
;
Ji, Qingyuan
;
Guo, Haifeng
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  |  
浏览/下载:21/0
  |  
提交时间:2022/06/06
Roads
Predictive models
Data models
Recurrent neural networks
Generators
Computer architecture
Deep learning
Short-term link speed prediction
signalized urban networks
Wasserstein generative adversarial network
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2022, 卷号: 16, 期号: 2, 页码: 276-288
作者:
Wang, Haishuai
;
Tao, Guangyu
;
Ma, Jiali
;
Jia, Shangru
;
Chi, Lianhua
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/07/25
COVID-19
Predictive models
Mathematical models
Data models
Pandemics
Market research
Biological system modeling
COVID-19
generative adversarial networks
time series prediction
SIR simulation
Denoised Internal Models: A Brain-inspired Autoencoder Against Adversarial Attacks
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 456-471
作者:
Kai-Yuan Liu
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  |  
浏览/下载:8/0
  |  
提交时间:2022/09/30
Brain-inspired learning
autoencoder
robustness
adversarial attack
generative model
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