Editorial Board
CNAK: Cluster number assisted K-means
Robust kernelized graph-based learning
Structured graph learning for clustering and semi-supervised classification
Multiple attentional pyramid networks for Chinese herbal recognition
A novel error-correcting output codes based on genetic programming and ternary digit operators
Cross-view classification by joint adversarial learning and class-specificity distribution
Multimodal subspace support vector data description
Position-aware self-attention based neural sequence labeling
Sparse motion fields for trajectory prediction
Multi-scale structural kernel representation for object detection
AGUnet: Annotation-guided U-net for fast one-shot video object segmentation
Cascaded hierarchical atrous spatial pyramid pooling module for semantic segmentation
Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection
A prototype-based SPD matrix network for domain adaptation EEG emotion recognition
Entropy based dictionary learning for image classification
Virtual sample-based deep metric learning using discriminant analysis
Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
Tackling mode collapse in multi-generator GANs with orthogonal vectors
Learning adaptive geometry for unsupervised domain adaptation
Online feature selection system for big data classification based on multi-objective automated negotiation
Learning representation from multiple media domains for enhanced event discovery
Hypergraph convolution and hypergraph attention
Place perception from the fusion of different image representation
TextMountain: Accurate scene text detection via instance segmentation
Real-time Lexicon-free Scene Text Retrieval
Progressive sample mining and representation learning for one-shot person re-identification
Video super-resolution based on a spatio-temporal matching network
Unified Cross-domain Classification via Geometric and Statistical Adaptations
Cross-modality deep feature learning for brain tumor segmentation
DecomVQANet: Decomposing visual question answering deep network via tensor decomposition and regression
Exploiting textual queries for dynamically visual disambiguation
Unsupervised text-to-image synthesis
Understanding adversarial attacks on deep learning based medical image analysis systems
Towards Non-I.I.D. image classification: A dataset and baselines
Lightweight dynamic conditional GAN with pyramid attention for text-to-image synthesis
Explainable skin lesion diagnosis using taxonomies
Explaining the semantics capturing capability of scene graph generation models
Deep features for person re-identification on metric learning
Universal adversarial perturbations against object detection
LOW: Training deep neural networks by learning optimal sample weights
Probabilistic framework for solving visual dialog
Efficient semantic segmentation with pyramidal fusion
Deep multi-task learning with relational attention for business success prediction
Goal driven network pruning for object recognition
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays
Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution
Challenging tough samples in unsupervised domain adaptation
Coupled adversarial learning for semi-supervised heterogeneous face recognition
Deep snippet selective network for weakly supervised temporal action localization
Multi-scale deep relational reasoning for facial kinship verification
