| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A hierarchical and regional deep learning architecture for image description generation
|
Kinghorn, Philip
|
|
2019
|
119 |
C |
p. 77-85
|
artikel
|
| 2 |
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface
|
Wei, Wentao
|
|
2019
|
119 |
C |
p. 131-138
|
artikel
|
| 3 |
Are you eligible? Predicting adulthood from face images via Class Specific Mean Autoencoder
|
Singh, Maneet
|
|
2019
|
119 |
C |
p. 121-130
|
artikel
|
| 4 |
Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep learning
|
Liu, Yuliang
|
|
2019
|
119 |
C |
p. 94-102
|
artikel
|
| 5 |
Boosting deep attribute learning via support vector regression for fast moving crowd counting
|
Wei, Xinlei
|
|
2019
|
119 |
C |
p. 12-23
|
artikel
|
| 6 |
Combining global and minutia deep features for partial high-resolution fingerprint matching
|
Zhang, Fandong
|
|
2019
|
119 |
C |
p. 139-147
|
artikel
|
| 7 |
Convolutional low-resolution fine-grained classification
|
Cai, Dingding
|
|
2019
|
119 |
C |
p. 166-171
|
artikel
|
| 8 |
Deep contour and symmetry scored object proposal
|
Ke, Wei
|
|
2019
|
119 |
C |
p. 172-179
|
artikel
|
| 9 |
Deep feature representation based on privileged knowledge transfer
|
Duan, Lijuan
|
|
2019
|
119 |
C |
p. 62-70
|
artikel
|
| 10 |
Deep Learning for Pattern Recognition
|
Zhang, Zhaoxiang
|
|
2019
|
119 |
C |
p. 1-2
|
artikel
|
| 11 |
Deep learning for sensor-based activity recognition: A survey
|
Wang, Jindong
|
|
2019
|
119 |
C |
p. 3-11
|
artikel
|
| 12 |
Deep neural networks for record counting in historical handwritten documents
|
Capobianco, Samuele
|
|
2019
|
119 |
C |
p. 103-111
|
artikel
|
| 13 |
Deep spatial-temporal feature fusion for facial expression recognition in static images
|
Sun, Ning
|
|
2019
|
119 |
C |
p. 49-61
|
artikel
|
| 14 |
D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos
|
Xu, Mingliang
|
|
2019
|
119 |
C |
p. 222-228
|
artikel
|
| 15 |
Editorial Board
|
|
|
2019
|
119 |
C |
p. ii
|
artikel
|
| 16 |
Fast cascade face detection with pyramid network
|
Zeng, Dan
|
|
2019
|
119 |
C |
p. 180-186
|
artikel
|
| 17 |
FAST: Facilitated and Accurate Scene Text Proposals through FCN Guided Pruning
|
Bazazian, Dena
|
|
2019
|
119 |
C |
p. 112-120
|
artikel
|
| 18 |
Finger vein identification using Convolutional Neural Network and supervised discrete hashing
|
Xie, Cihui
|
|
2019
|
119 |
C |
p. 148-156
|
artikel
|
| 19 |
Generative adversarial dehaze mapping nets
|
Li, Ce
|
|
2019
|
119 |
C |
p. 238-244
|
artikel
|
| 20 |
Hierarchical recurrent highway networks
|
Zia, Tehseen
|
|
2019
|
119 |
C |
p. 71-76
|
artikel
|
| 21 |
Image Caption Generation with Part of Speech Guidance
|
He, Xinwei
|
|
2019
|
119 |
C |
p. 229-237
|
artikel
|
| 22 |
Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
|
Al-Milaji, Zahraa
|
|
2019
|
119 |
C |
p. 214-221
|
artikel
|
| 23 |
Large-scale gesture recognition with a fusion of RGB-D data based on optical flow and the C3D model
|
Li, Yunan
|
|
2019
|
119 |
C |
p. 187-194
|
artikel
|
| 24 |
Learning domain-invariant feature for robust depth-image-based 3D shape retrieval
|
Zhu, Jing
|
|
2019
|
119 |
C |
p. 24-33
|
artikel
|
| 25 |
Motion-blur kernel size estimation via learning a convolutional neural network
|
Li, Lerenhan
|
|
2019
|
119 |
C |
p. 86-93
|
artikel
|
| 26 |
Residual Codean Autoencoder for Facial Attribute Analysis
|
Sethi, Akshay
|
|
2019
|
119 |
C |
p. 157-165
|
artikel
|
| 27 |
Simple very deep convolutional network for robust hand pose regression from a single depth image
|
Fan, Qing
|
|
2019
|
119 |
C |
p. 205-213
|
artikel
|
| 28 |
Source camera identification based on content-adaptive fusion residual networks
|
Yang, Pengpeng
|
|
2019
|
119 |
C |
p. 195-204
|
artikel
|
| 29 |
Training convolutional neural network from multi-domain contour images for 3D shape retrieval
|
Zhu, Zongxiao
|
|
2019
|
119 |
C |
p. 41-48
|
artikel
|
| 30 |
UP-CNN: Un-pooling augmented convolutional neural network
|
Xu, Chunyan
|
|
2019
|
119 |
C |
p. 34-40
|
artikel
|
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