Editorial Board
In the eye of the beholder: A survey of gaze tracking techniques
Distribution alignment for cross-device palmprint recognition
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks
Weighted 3D volume reconstruction from series of slice data using a modified Allen–Cahn equation
Scale-selective and noise-robust extended local binary pattern for texture classification
Stochastic gate-based autoencoder for unsupervised hyperspectral band selection
Dynamic self-attention with vision synchronization networks for video question answering
Self-supervised spectral clustering with exemplar constraints
Multi-criteria Selection of Rehearsal Samples for Continual Learning
Robust convolutional neural networks against adversarial attacks on medical images
Explanation vs. attention: A two-player game to obtain attention for VQA and visual dialog
Multi-feature sparse similar representation for person identification
Riemannian dynamic generalized space quantization learning
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
Automatically classifying non-functional requirements using deep neural network
Siamese networks with an online reweighted example for imbalanced data learning
Local-to-Global Support Vector Machines (LGSVMs)
Domain consistency regularization for unsupervised multi-source domain adaptive classification
Neural architecture search via reference point based multi‐objective evolutionary algorithm
Online temporal classification of human action using action inference graph
Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation
Tree-based data augmentation and mutual learning for offline handwritten mathematical expression recognition
Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing
Conditional motion in-betweening
Single image based 3D human pose estimation via uncertainty learning
Joint operation and attention block search for lightweight image restoration
Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation
Privileged multi-task learning for attribute-aware aesthetic assessment
Infrared and visible image fusion via parallel scene and texture learning
Learning multimodal relationship interaction for visual relationship detection
Learning pseudo labels for semi-and-weakly supervised semantic segmentation
Towards a category-extended object detector with limited data
Unsupervised domain adaptation in homogeneous distance space for person re-identification
Center Prediction Loss for Re-identification
Non-rigid point set registration based on local neighborhood information support
Exploiting shape cues for weakly supervised semantic segmentation
MonoPoly: A practical monocular 3D object detector
Multiple geometry representations for 6D object pose estimation in occluded or truncated scenes
Learning deep feature correspondence for unsupervised anomaly detection and segmentation
Counterfactual explanation based on gradual construction for deep networks
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
Wasserstein distributional harvesting for highly dense 3D point clouds
Progressive downsampling and adaptive guidance networks for dynamic scene deblurring
Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence
Wrapper feature selection method based differential evolution and extreme learning machine for intrusion detection system
ℓp-Norm Support Vector Data Description
SWIPENET: Object detection in noisy underwater scenes
Deep learning of longitudinal mammogram examinations for breast cancer risk prediction
BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention
Unsupervised domain adaptation with progressive adaptation of subspaces
Metric learning via perturbing hard-to-classify instances
Score-Oriented Loss (SOL) functions
Uncorrelated feature selection via sparse latent representation and extended OLSDA
JSL3d: Joint subspace learning with implicit structure supervision for 3D pose estimation
CAAN: Context-Aware attention network for visual question answering
Progressive Deep Non-Negative Matrix Factorization Architecture with Graph Convolution-based Basis Image Reorganization
Generalized discriminant analysis via kernel exponential families
Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness
Do deep neural networks contribute to multivariate time series anomaly detection?
BSCA-Net: Bit Slicing Context Attention network for polyp segmentation
Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation
Corrigendum to “LiDAR-based localization using universal encoding and memory-aware regression” Pattern Recognition Volume 128 (2022) 108685
The familiarity hypothesis: Explaining the behavior of deep open set methods
Covered Style Mining via Generative Adversarial Networks for Face Anti-spoofing
Towards generalizable person re-identification with a bi-stream generative model
Learnable dynamic margin in deep metric learning
Memory‐augmented neural networks based dynamic complex image segmentation in digital twins for self‐driving vehicle
GFNet: Automatic segmentation of COVID-19 lung infection regions using CT images based on boundary features
COVID-19 contact tracking by group activity trajectory recovery over camera networks
