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科研机构
大连理工大学 [37]
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会议论文 [20]
期刊论文 [14]
专利 [3]
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2019 [6]
2018 [10]
2017 [3]
2016 [5]
2015 [3]
2014 [3]
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专题:大连理工大学
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Multi-Focus Image Fusion With a Natural Enhancement via a Joint Multi-Level Deeply Supervised Convolutional Neural Network
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 页码: 1102-1115
作者:
Zhao, Wenda
;
Wang, Dong
;
Lu, Huchuan
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Multi-focus image fusion with enhancement
end-to-end CNN architecure
joint multi-level feature
deep supervision
Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 页码: 1528-1543
作者:
Liu, Risheng
;
Ma, Long
;
Wang, Yiyang
;
Zhang, Lei
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Image enhancement
visual propagation
prior model
residual CNN
non-convex optimization
Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement
期刊论文
IEEE TIP, 2019, 卷号: 28, 页码: 1528-1543
作者:
Liu RS(刘日升)
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Reliability verification-based convolutional neural networks for object tracking
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 页码: 175-185
作者:
Hu, Xiaopeng
;
Li, Jingting
;
Yang, Yan
;
Wang, Fan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
object tracking
learning (artificial intelligence)
feedforward neural nets
reliability
feature selection
tracking network
reliability verification-based convolutional neural networks
object tracking
tracking algorithm
reliability analysis
deep network
single network
improperly labelled training samples
feature selection
label enhancement
convolutional layers
Compounded layer-prior unrolling: A unified transmission-based image enhancement framework
会议论文
2019 IEEE International Conference on Multimedia and Expo, ICME 2019, Shanghai, China, 2019-07-08
作者:
Liu, Risheng
;
Hou, Minjun
;
Liu, Jinyuan
;
Fan, Xin
;
Luo, Zhongxuan
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 页码: 2973-2986
作者:
Liu, Risheng
;
Fan, Xin
;
Hou, Minjun
;
Jiang, Zhiying
;
Luo, Zhongxuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Haze and rain removal
residual networks (ResNets)
transmission propagation
underwater image enhancement
Underwater Image Enhancement Using Stacked Generative Adversarial Networks
会议论文
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING, PT III, 2018-01-01
作者:
Ye, Xinchen
;
Xu, Hongcan
;
Ji, Xiang
;
Xu, Rui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Underwater
Image enhancement
GAN
Haze detection
Color correction
JOINT RESIDUAL LEARNING FOR UNDERWATER IMAGE ENHANCEMENT
会议论文
2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018-01-01
作者:
Hou, Minjun
;
Liu, Risheng
;
Fan, Xin
;
Luo, Zhongxuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Underwater image enhancement
joint residual learning
transmission map estimation
illumination balance
Dual Minkowski Loss for Face Verification of Convolutional Network
会议论文
2nd International Conference on Electronic Information Technology and Computer Engineering, EITCE 2018, Shanghai, China, 2018-10-12
作者:
Wang, Dandan
;
Chen, Yan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Image enhancement
Statistical tests, Convolutional networks
Data augmentation
Euclidean distance
Face Verification
Innovative method
Manhattan distance
Test systems
Three state, Face recognition
Research on TFM imaging of main pipe weld of compound steel based on FMC/SMC
会议论文
Proceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017
作者:
Kang, D.
;
Jin, S.
;
Zhang, D.
;
Liu, S.
;
Luo, Z.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Antenna phased arrays
Computational efficiency
Data acquisition
Efficiency
Focusing
Image enhancement
Image resolution
Matrix algebra
Nondestructive examination
Signal to noise ratio
Welds, Acquisition modes
Array performance
Full matrix captures
Full matrixes
Pipe welds
Side-drilled hole
Sparse matrices
Total focusing method, Ultrasonic testing
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