OOIR: Observatory of International Research

Papers

(The H4-Index of Pattern Recognition is 76. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)

Article	Citations
U2-Net: Going deeper with nested U-structure for salient object detection	1147
Sensor-based and vision-based human activity recognition: A comprehensive survey	317
Binary neural networks: A survey	304
Hypergraph convolution and hypergraph attention	286
Reconstruction by inpainting for visual anomaly detection	272
Understanding adversarial attacks on deep learning based medical image analysis systems	258
A review of methods for imbalanced multi-label classification	187
Cross-modality deep feature learning for brain tumor segmentation	182
3D Object Detection for Autonomous Driving: A Survey	175
Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments	175
Hierarchical dense recursive network for image super-resolution	175
Knowledge base graph embedding module design for Visual question answering model	172
An effective CNN and Transformer complementary network for medical image segmentation	172
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning	172
Feature selection using bare-bones particle swarm optimization with mutual information	161
LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation	147
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients	145
Financial time series forecasting with multi-modality graph neural network	143
Action Transformer: A self-attention model for short-time pose-based human action recognition	142
Random vector functional link neural network based ensemble deep learning	142
Handling incomplete heterogeneous data using VAEs	138
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images	137
Deep co-training for semi-supervised image segmentation	134
Visual place recognition: A survey from deep learning perspective	134
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection	134

Neighborhood linear discriminant analysis	129
Pruning by explaining: A novel criterion for deep neural network pruning	129
Multi-stage image denoising with the wavelet transform	127
A CenterNet++ model for ship detection in SAR images	126
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays	125
Video anomaly detection with spatio-temporal dissociation	119
Learning attention-guided pyramidal features for few-shot fine-grained recognition	119
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images	119
Uncertainty estimation for stereo matching based on evidential deep learning	118
Point attention network for semantic segmentation of 3D point clouds	116
Deep neural networks-based relevant latent representation learning for hyperspectral image classification	115
Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles	112
A review of lane detection methods based on deep learning	111
Image denoising using complex-valued deep CNN	109
BLOCK-DBSCAN: Fast clustering for large scale data	107
MetaMed: Few-shot medical image classification using gradient-based meta-learning	105
Structured graph learning for clustering and semi-supervised classification	105
Multistage attention network for image inpainting	103
Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix	102
AutoPruner: An end-to-end trainable filter pruning method for efficient deep model inference	100
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images	98
Hyper-sausage coverage function neuron model and learning algorithm for image classification	97
A novel hybrid approach for crack detection	96
A two-stage hybrid ant colony optimization for high-dimensional feature selection	95
HCFNN: High-order coverage function neural network for image classification	94
A comprehensive survey of multi-view video summarization	93
TPM: Multiple object tracking with tracklet-plane matching	91
Nonlocal patch similarity based heterogeneous remote sensing change detection	89
A polarization fusion network with geometric feature embedding for SAR ship classification	89
DMT: Dynamic mutual training for semi-supervised learning	88
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging	88
MASTER: Multi-aspect non-local network for scene text recognition	88
Spatiotemporal consistency-enhanced network for video anomaly detection	87
Optical flow and scene flow estimation: A survey	87
Robust deepk-means: An effective and simple method for data clustering	86
Tackling mode collapse in multi-generator GANs with orthogonal vectors	84
Blitz-SLAM: A semantic SLAM in dynamic environments	84
Feature selection with kernelized multi-class support vector machine	84
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network	83
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network	81
Improving the accuracy of global forecasting models using time series data augmentation	81
Self-restrained triplet loss for accurate masked face recognition	80
Two-step domain adaptation for underwater image enhancement	79
Mean-shift outlier detection and filtering	79
Multi-task learning for gait-based identity recognition and emotion recognition using attention enhanced temporal graph convolutional network	78
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron	78
Accurate, data-efficient, unconstrained text recognition with convolutional neural networks	78
Robust semi-supervised nonnegative matrix factorization for image clustering	78
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images	77
mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions	77

HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images	76
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification	76
Density peaks clustering based on density backbone and fuzzy neighborhood	76