Editorial Board
Deep video code for efficient face video retrieval
Interwoven texture-based description of interest points in images
AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction
Projected fuzzy C-means clustering with locality preservation
Kernel two-dimensional ridge regression for subspace clustering
An evidential clustering algorithm by finding belief-peaks and disjoint neighborhoods
BCMM: A novel post-based augmentation representation for early rumour detection on social media
Multi-task learning for simultaneous script identification and keyword spotting in document images
Deep neural network oriented evolutionary parametric eye modeling
Exploring a unified low rank representation for multi-focus image fusion
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation
Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images
Visual place recognition: A survey from deep learning perspective
Joint direct estimation of 3D geometry and 3D motion using spatio temporal gradients
Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation
MPPCANet: A feedforward learning strategy for few-shot image classification
Compact learning for multi-label classification
Change-point detection in hierarchical circadian models
Low-rank tensor ring learning for multi-linear regression
Low-rank adaptive graph embedding for unsupervised feature extraction
Learning efficient, explainable and discriminative representations for pulmonary nodules classification
Rethinking data collection for person re-identification: active redundancy reduction
Inferring spatial relations from textual descriptions of images
Reconstruction regularized low-rank subspace learning for cross-modal retrieval
Coupled-dynamic learning for vision and language: Exploring Interaction between different tasks
End-to-end video text detection with online tracking
Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
Visual SLAM for robot navigation in healthcare facility
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
Weakly-supervised action localization via embedding-modeling iterative optimization
View-invariant action recognition via Unsupervised AttentioN Transfer (UANT)
Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information
