0031-3203

Pattern Recognition （PR） - Volume 122 论文列表

点击这里查看 Pattern Recognition 的JCR分区、影响因子等信息
卷期号： Volume 122
发布时间： February 2022
卷期年份： 2022
卷期官网： https://www.sciencedirect.com/journal/pattern-recognition/vol/122/suppl/C
本期论文列表
Editorial Board

Deep neighbor-aware embedding for node clustering in attributed graphs

Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks

Video anomaly detection with spatio-temporal dissociation

Efficient COVID-19 testing via contextual model based compressive sensing

Learning panoptic segmentation through feature discriminability

JSPNet: Learning joint semantic & instance segmentation of point clouds via feature self-similarity and cross-task probability

Zero-shot learning via a specific rank-controlled semantic autoencoder

A near effective and efficient model in recognition

Bayesian compression for dynamically expandable networks

Integrated generalized zero-shot learning for fine-grained classification

Balanced single-shot object detection using cross-context attention-guided network

Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images

Hyperspectral super-resolution via coupled tensor ring factorization

Discrete online cross-modal hashing

Data synthesis method preserving correlation of features

Deep and interpretable regression models for ordinal outcomes

Fine-grained action recognition using dynamic kernels

Effective and efficient pixel-level detection for diverse video copy-move forgery types

SetMargin loss applied to deep keystroke biometrics with circle packing interpretation

Discrepant multiple instance learning for weakly supervised object detection

Graph regularized locally linear embedding for unsupervised feature selection

A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

Atom correlation based graph propagation for scene graph generation

Exploring rich intermediate representations for reconstructing 3D shapes from 2D images

(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition

Context extraction module for deep convolutional neural networks

AE-Net: Fine-grained sketch-based image retrieval via attention-enhanced network

Unsupervised descriptor selection based meta-learning networks for few-shot classification

Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging

Segmentation of Handwritten Arabic Graphemes Using a Directed Convolutional Neural Network and Mathematical Morphology Operations

Explainable scale distillation for hyperspectral image classification

Robust face alignment by dual-attentional spatial-aware capsule networks

Deep image prior based defense against adversarial examples

Two-step domain adaptation for underwater image enhancement

DDBN: Dual detection branch network for semantic diversity predictions

Generalizable model-agnostic semantic segmentation via target-specific normalization

Learning multiscale hierarchical attention for video summarization

Image-to-video person re-identification using three-dimensional semantic appearance alignment and cross-modal interactive learning

An effective deep network using target vector update modules for image restoration

Estimating Tukey depth using incremental quantile estimators

Gaussian-guided feature alignment for unsupervised cross-subject adaptation

Support structure representation learning for sequential data clustering

A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos

Kernelized support tensor train machines

From soccer video to ball possession statistics

Coarse-to-fine-grained method for image splicing region detection

Multi-attention augmented network for single image super-resolution

Nonconvex 3D array image data recovery and pattern recognition under tensor framework

Efficient k-nearest neighbor search based on clustering and adaptive k values

Gradient-Aligned convolution neural network

GeoConv: Geodesic guided convolution for facial action unit recognition

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

ProCAN: Progressive growing channel attentive non-local network for lung nodule classification

A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances

Feature wise normalization: An effective way of normalizing data

Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification

Divide well to merge better: A novel clustering algorithm

A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning

Graph Clustering via Variational Graph Embedding

Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition

Multi-label sampling based on local label imbalance

Privacy-aware supervised classification: An informative subspace based multi-objective approach

Unimodal regularisation based on beta distribution for deep ordinal regression

Multinomial random forest

Adaptive Decision Forest: An incremental machine learning framework

Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification

A multimodal attention fusion network with a dynamic vocabulary for TextVQA

Skeleton-based relational reasoning for group activity analysis

Who is closer: A computational method for domain gap evaluation

Multi‐frame based adversarial learning approach for video surveillance

Revisiting image captioning via maximum discrepancy competition

Discriminative unimodal feature selection and fusion for RGB-D salient object detection

Biological eagle eye-based method for change detection in water scenes

Protect, show, attend and tell: Empowering image captioning models with ownership protection

Feature flow: In-network feature flow estimation for video object detection

Leveraging local and global descriptors in parallel to search correspondences for visual localization

High dynamic range imaging via gradient-aware context aggregation network

Loss functions for pose guided person image generation

Continuous conditional random field convolution for point cloud segmentation

Multi-task framework based on feature separation and reconstruction for cross-modal retrieval

The UU-test for statistical modeling of unimodal data

A black-box adversarial attack for poisoning clustering

Discriminative feature generation for classification of imbalanced data

Non-stationary, online variational Bayesian learning, with circular variables

Neighborhood preserving embedding on Grassmann manifold for image-set analysis

A Novel Quasi-Newton Method for Composite Convex Minimization

Robust and discrete matrix factorization hashing for cross-modal retrieval

Graph matching based on fast normalized cut and multiplicative update mapping

Factored Latent-Dynamic Conditional Random Fields for single and multi-label sequence modeling

Contextual ensemble network for semantic segmentation

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays

AI-Based human audio processing for COVID-19: A comprehensive overview

Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images

Well-calibrated confidence measures for multi-label text classification with a large number of labels

Deep momentum uncertainty hashing

Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification