Editorial Board
Retraction Notice
2D Wasserstein loss for robust facial landmark detection
Iterative sparse and deep learning for accurate diagnosis of Alzheimer’s disease
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction
A two-stage hybrid ant colony optimization for high-dimensional feature selection
Vector of Locally and Adaptively Aggregated Descriptors for Image Feature Representation
Star-based learning correlation clustering
Attention-shift based deep neural network for fine-grained visual categorization
Local descriptor-based multi-prototype network for few-shot Learning
Region-based dropout with attention prior for weakly supervised object localization
Nonlocal graph theory based transductive learning for hyperspectral image classification
A Novel Unsupervised domain adaptation method for inertia-Trajectory translation of in-air handwriting
Global motion estimation with iterative optimization-based independent univariate model for action recognition
Recognition of visual-related non-driving activities using a dual-camera monitoring system
Ventral & Dorsal Stream Theory based Zero-Shot Action Recognition
STDnet-ST: Spatio-temporal ConvNet for small object detection
A parameterized geometric fitting method for ellipse
Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment
MEMF: Multi-level-attention embedding and multi-layer-feature fusion model for person re-identification
New confocal hyperbola-based ellipse fitting with applications to estimating parameters of mechanical pipes from point clouds
Unsupervised meta-learning for few-shot learning
PRRNet: Pixel-Region relation network for face forgery detection
Deep-seated features histogram: A novel image retrieval method
NM-GAN: Noise-modulated generative adversarial network for video anomaly detection
Compensating over- and underexposure in optical target pose determination
Improved multi-scale dynamic feature encoding network for image demoiréing
Single annotated pixel based weakly supervised semantic segmentation under driving scenes
Learning deep part-aware embedding for person retrieval
Temporally smooth online action detection using cycle-consistent future anticipation
Single-Image super-resolution - When model adaptation matters
SNAP: Shaping neural architectures progressively via information density criterion
Adaptive, Hybrid Feature Selection (AHFS)
A kernel path algorithm for general parametric quadratic programming problem
A survey on heterogeneous network representation learning
PILS: Exploring high-order neighborhoods by pattern mining and injection
