Editorial Board
cPCA++: An efficient method for contrastive feature learning
A Two-Way alignment approach for unsupervised multi-Source domain adaptation
Human object interaction detection using two-direction spatial enhancement and exclusive object prior
Hierarchical domain adaptation with local feature patterns
Face photo-sketch synthesis via full-scale identity supervision
Multi-complementary and unlabeled learning for arbitrary losses and models
Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification
Exploiting appearance transfer and multi-scale context for efficient person image generation
Characterizing ordinal network of time series based on complexity-entropy curve
Learning to rectify for robust learning with noisy labels
PRNU registration under scale and rotation transform based on convolutional neural networks
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions
Discriminative deep attributes for generalized zero-shot learning
A zero-shot learning framework via cluster-prototype matching
A new framework of designing iterative techniques for image deblurring
Supervised dimensionality reduction technology of generalized discriminant component analysis and its kernelization forms
SibNet: Food instance counting and segmentation
Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration
Scene-specific crowd counting using synthetic training images
Infinite-dimensional feature aggregation via a factorized bilinear model
Semantic clustering based deduction learning for image recognition and classification
Semi-supervised node classification via adaptive graph smoothing networks
Sparse CapsNet with explicit regularizer
Adaptive region-aware feature enhancement for object detection
Detection and rectification of arbitrary shaped scene texts by using text keypoints and links
Uncertainty estimation for stereo matching based on evidential deep learning
Text-instance graph: Exploring the relational semantics for text-based visual question answering
Relevance attack on detectors
Two-stage aware attentional Siamese network for visual tracking
Developing a generic framework for anomaly detection
Weakly-supervised semantic segmentation with superpixel guided local and global consistency
Unsupervised cross-domain person re-identification by instance and distribution alignment
Mask encoding: A general instance mask representation for object segmentation
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting
A Tri-Attention fusion guided multi-modal segmentation network
Sparse attention block: Aggregating contextual information for object detection
Improved time series clustering based on new geometric frameworks
MTCNet: Multi-task collaboration network for rotation-invariance face detection
An approach to boundary detection for 3D point clouds based on DBSCAN clustering
Loss function search for person re-identification
Source data-free domain adaptation for a faster R-CNN
3D pose estimation and future motion prediction from 2D images
Global models for time series forecasting: A Simulation study
Robust Gaussian process regression with a bias model
CR-GAN: Automatic craniofacial reconstruction for personal identification
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling
Brain tumor segmentation based on the dual-path network of multi-modal MRI images
Adaptive Gabor convolutional networks
Weighted clustering ensemble: A review
Semi-supervised robust training with generalized perturbed neighborhood
An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation
Identifying players in broadcast videos using graph convolutional network
Signature barcodes for online verification
GaitSlice: A gait recognition model based on spatio-temporal slice features
Action Transformer: A self-attention model for short-time pose-based human action recognition
Velocity-to-velocity human motion forecasting
Spatial-driven features based on image dependencies for person re-identification
CANet: Co-attention network for RGB-D semantic segmentation
Progressive polarization based reflection removal via realistic training data generation
Super-resolution semantic segmentation with relation calibrating network
Guided neighborhood affine subspace embedding for feature matching
Segmentation information with attention integration for classification of breast tumor in ultrasound image
Deep open-set recognition for silicon wafer production monitoring
Self-weighting multi-view spectral clustering based on nuclear norm
COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment
Exploring semantic segmentation of related subclasses from a superset of classes
Poisson kernel: Avoiding self-smoothing in graph convolutional networks
Introduction to conformal predictors
Deep reinforcement learning with credit assignment for combinatorial optimization
Learning interlaced sparse Sinkhorn matching network for video super-resolution
TradeBot: Bandit learning for hyper-parameters optimization of high frequency trading strategy
Automated search space and search strategy selection for AutoML
Combining embedding-based and symbol-based methods for entity alignment
Contrastive attention network with dense field estimation for face completion
Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images
Self-restrained triplet loss for accurate masked face recognition
