nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
|
Yin, Yingjie |
|
|
110 |
C |
p. |
artikel |
2 |
A novel error-correcting output codes based on genetic programming and ternary digit operators
|
Yi-Fan, Liang |
|
|
110 |
C |
p. |
artikel |
3 |
Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection
|
Zhang, Qing |
|
|
110 |
C |
p. |
artikel |
4 |
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition
|
Wang, Yixin |
|
|
110 |
C |
p. |
artikel |
5 |
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
|
Wang, Zheng |
|
|
110 |
C |
p. |
artikel |
6 |
Cascaded hierarchical atrous spatial pyramid pooling module for semantic segmentation
|
Lian, Xuhang |
|
|
110 |
C |
p. |
artikel |
7 |
Challenging tough samples in unsupervised domain adaptation
|
Zuo, Lin |
|
|
110 |
C |
p. |
artikel |
8 |
CNAK: Cluster number assisted K-means
|
Saha, Jayasree |
|
|
110 |
C |
p. |
artikel |
9 |
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
|
Gao, Guangwei |
|
|
110 |
C |
p. |
artikel |
10 |
Coupled adversarial learning for semi-supervised heterogeneous face recognition
|
He, Ran |
|
|
110 |
C |
p. |
artikel |
11 |
Cross-modality deep feature learning for brain tumor segmentation
|
Zhang, Dingwen |
|
|
110 |
C |
p. |
artikel |
12 |
Cross-view classification by joint adversarial learning and class-specificity distribution
|
Deng, Siyang |
|
|
110 |
C |
p. |
artikel |
13 |
DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
|
Bai, Zongwen |
|
|
110 |
C |
p. |
artikel |
14 |
Deep features for person re-identification on metric learning
|
Wu, Wanyin |
|
|
110 |
C |
p. |
artikel |
15 |
Deep multi-task learning with relational attention for business success prediction
|
Zhao, Jiejie |
|
|
110 |
C |
p. |
artikel |
16 |
Deep snippet selective network for weakly supervised temporal action localization
|
Ge, Yongxin |
|
|
110 |
C |
p. |
artikel |
17 |
Editorial Board
|
|
|
|
110 |
C |
p. |
artikel |
18 |
Efficient semantic segmentation with pyramidal fusion
|
Oršić, Marin |
|
|
110 |
C |
p. |
artikel |
19 |
Entropy based dictionary learning for image classification
|
Abdi, Arash |
|
|
110 |
C |
p. |
artikel |
20 |
Explainable skin lesion diagnosis using taxonomies
|
Barata, Catarina |
|
|
110 |
C |
p. |
artikel |
21 |
Explaining the semantics capturing capability of scene graph generation models
|
Luo, Jie |
|
|
110 |
C |
p. |
artikel |
22 |
Exploiting textual queries for dynamically visual disambiguation
|
Sun, Zeren |
|
|
110 |
C |
p. |
artikel |
23 |
Goal driven network pruning for object recognition
|
Kaplan, Cagri |
|
|
110 |
C |
p. |
artikel |
24 |
Hypergraph convolution and hypergraph attention
|
Bai, Song |
|
|
110 |
C |
p. |
artikel |
25 |
Learning adaptive geometry for unsupervised domain adaptation
|
Yang, Baoyao |
|
|
110 |
C |
p. |
artikel |
26 |
Learning representation from multiple media domains for enhanced event discovery
|
Yang, Zhenguo |
|
|
110 |
C |
p. |
artikel |
27 |
Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
|
Gao, Lianli |
|
|
110 |
C |
p. |
artikel |
28 |
LOW: Training deep neural networks by learning optimal sample weights
|
Santiago, Carlos |
|
|
110 |
C |
p. |
artikel |
29 |
Multimodal subspace support vector data description
|
Sohrab, Fahad |
|
|
110 |
C |
p. |
artikel |
30 |
Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
|
Santos, Carlos Eduardo da Silva |
|
|
110 |
C |
p. |
artikel |
31 |
Multiple attentional pyramid networks for Chinese herbal recognition
|
Xu, Yingxue |
|
|
110 |
C |
p. |
artikel |
32 |
Multi-scale deep relational reasoning for facial kinship verification
|
Yan, Haibin |
|
|
110 |
C |
p. |
artikel |
33 |
Multi-scale structural kernel representation for object detection
|
Wang, Hao |
|
|
110 |
C |
p. |
artikel |
34 |
Online feature selection system for big data classification based on multi-objective automated negotiation
|
BenSaid, Fatma |
|
|
110 |
C |
p. |
artikel |
35 |
Place perception from the fusion of different image representation
|
Li, Pei |
|
|
110 |
C |
p. |
artikel |
36 |
Position-aware self-attention based neural sequence labeling
|
Wei, Wei |
|
|
110 |
C |
p. |
artikel |
37 |
Probabilistic framework for solving visual dialog
|
Patro, Badri N. |
|
|
110 |
C |
p. |
artikel |
38 |
Progressive sample mining and representation learning for one-shot person re-identification
|
Li, Hui |
|
|
110 |
C |
p. |
artikel |
39 |
Real-time Lexicon-free Scene Text Retrieval
|
Mafla, Andrés |
|
|
110 |
C |
p. |
artikel |
40 |
Robust kernelized graph-based learning
|
Manna, Supratim |
|
|
110 |
C |
p. |
artikel |
41 |
Sparse motion fields for trajectory prediction
|
Barata, Catarina |
|
|
110 |
C |
p. |
artikel |
42 |
Structured graph learning for clustering and semi-supervised classification
|
Kang, Zhao |
|
|
110 |
C |
p. |
artikel |
43 |
Tackling mode collapse in multi-generator GANs with orthogonal vectors
|
Li, Wei |
|
|
110 |
C |
p. |
artikel |
44 |
TextMountain: Accurate scene text detection via instance segmentation
|
Zhu, Yixing |
|
|
110 |
C |
p. |
artikel |
45 |
Towards Non-I.I.D. image classification: A dataset and baselines
|
He, Yue |
|
|
110 |
C |
p. |
artikel |
46 |
Understanding adversarial attacks on deep learning based medical image analysis systems
|
Ma, Xingjun |
|
|
110 |
C |
p. |
artikel |
47 |
Unified Cross-domain Classification via Geometric and Statistical Adaptations
|
Liu, Weifeng |
|
|
110 |
C |
p. |
artikel |
48 |
Universal adversarial perturbations against object detection
|
Li, Debang |
|
|
110 |
C |
p. |
artikel |
49 |
Unsupervised text-to-image synthesis
|
Dong, Yanlong |
|
|
110 |
C |
p. |
artikel |
50 |
Video super-resolution based on a spatio-temporal matching network
|
Zhu, Xiaobin |
|
|
110 |
C |
p. |
artikel |
51 |
Virtual sample-based deep metric learning using discriminant analysis
|
Kim, Dae Ha |
|
|
110 |
C |
p. |
artikel |