Editorial Board
Person identification using EEG channel selection with hybrid flower pollination algorithm
Gait recognition invariant to carried objects using alpha blending generative adversarial networks
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
Optical flow-based structure-from-motion for the reconstruction of epithelial surfaces
Unsupervised feature selection with adaptive multiple graph learning
Supervised dimensionality reduction of proportional data using mixture estimation
Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits
Video anomaly detection and localization using motion-field shape description and homogeneity testing
Revisiting spectral clustering for near-convex decomposition of 2D shape
Learning Direct Optimization for scene understanding
Context from within: Hierarchical context modeling for semantic segmentation
Simplified unsupervised image translation for semantic segmentation adaptation
Supervised deep hashing with a joint deep network
Robust twin support vector regression based on rescaled Hinge loss
Reinterpreting CTC training as iterative fitting
Gated CNN: Integrating multi-scale feature layers for object detection
Spectral rotation for deep one-step clustering
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks
Towards interpretable and robust hand detection via pixel-wise prediction
Binary neural networks: A survey
Adaptive iterative attack towards explainable adversarial robustness
Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs
Heterogenous output regression network for direct face alignment
Self-attention driven adversarial similarity learning network
Robust one-stage object detection with location-aware classifiers
Deep quantization generative networks
Graph-based neural networks for explainable image privacy inference
Deep transductive network for generalized zero shot learning
Learning residual refinement network with semantic context representation for real-time saliency object detection
Learning EEG topographical representation for classification via convolutional neural network
Deep multi-person kinship matching and recognition for family photos
Stacked squeeze-and-excitation recurrent residual network for visual-semantic matching
Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks
