| 1 | Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily | 9.6 | 26 | Citations (PDF) |
| 2 | Bridging the Gap: Improving Domain Generalization in Trajectory Prediction | 10.3 | 10 | Citations (PDF) |
| 3 | CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization | 7.7 | 101 | Citations (PDF) |
| 4 | CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives | 2.4 | 37 | Citations (PDF) |
| 5 | Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction | 7.7 | 17 | Citations (PDF) |
| 6 | HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment | 5.4 | 7 | Citations (PDF) |
| 7 | End-to-End Paired Ambisonic-Binaural Audio Rendering | 8.9 | 3 | Citations (PDF) |
| 8 | CORE: Learning consistent ordinal representations with convex optimization for image ordinal estimation | 7.3 | 4 | Citations (PDF) |
| 9 | Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification | 9.6 | 20 | Citations (PDF) |
| 10 | Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving | 10.3 | 17 | Citations (PDF) |
| 11 | Learning Representation for Clustering Via Prototype Scattering and Positive Sampling | 11.3 | 92 | Citations (PDF) |
| 12 | When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark | 11.3 | 51 | Citations (PDF) |
| 13 | Lane Transformer: A High-Efficiency Trajectory Prediction Model | 3.7 | 55 | Citations (PDF) |
| 14 | SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization | 6.5 | 37 | Citations (PDF) |
| 15 | Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting | 2.1 | 20 | Citations (PDF) |
| 16 | HiVeGPT: Human-Machine-Augmented Intelligent Vehicles With Generative Pre-Trained Transformer | 10.3 | 58 | Citations (PDF) |
| 17 | DSiV: Data Science for Intelligent Vehicles | 10.3 | 10 | Citations (PDF) |
| 18 | Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting | 9.6 | 12 | Citations (PDF) |
| 19 | Robust Precipitation Bias Correction Through an Ordinal Distribution Autoencoder | 2.1 | 4 | Citations (PDF) |
| 20 | SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation | 10.1 | 7 | Citations (PDF) |
| 21 | Convolutional Ordinal Regression Forest for Image Ordinal Estimation | 9.6 | 28 | Citations (PDF) |
| 22 | DU-GAN: Generative Adversarial Networks With Dual-Domain U-Net-Based Discriminators for Low-Dose CT Denoising | 3.8 | 127 | Citations (PDF) |
| 23 | Hard-instance learning for quantum adiabatic prime factorization | 2.7 | 6 | Citations (PDF) |
| 24 | Meta Ordinal Regression Forest for Medical Image Classification With Ordinal Labels | 8.9 | 25 | Citations (PDF) |
| 25 | An Auto-Adjustable and Time-Consistent Model for Determining Coagulant Dosage Based on Operators’ Experience | 7.3 | 12 | Citations (PDF) |
| 26 | PFA-GAN: Progressive Face Aging With Generative Adversarial Network | 6.4 | 56 | Citations (PDF) |
| 27 | GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set | 11.3 | 115 | Citations (PDF) |
| 28 | Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms | 11.3 | 173 | Citations (PDF) |
| 29 | A Magnitude and Angle Combined Optical Flow Feature for Microexpression Spotting | 1.3 | 18 | Citations (PDF) |
| 30 | Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification | 5.4 | 24 | Citations (PDF) |
| 31 | Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data | 9.6 | 20 | Citations (PDF) |
| 32 | PaDNet: Pan-Density Crowd Counting | 9.6 | 95 | Citations (PDF) |
| 33 | Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping | 10.6 | 80 | Citations (PDF) |
| 34 | Ordinal distribution regression for gait-based age estimation | 4.8 | 24 | Citations (PDF) |
| 35 | A Deep Learning‐Based Methodology for Precipitation Nowcasting With Radar | 2.4 | 102 | Citations (PDF) |
| 36 | Multi-Task GANs for View-Specific Feature Learning in Gait Recognition | 6.4 | 212 | Citations (PDF) |
| 37 | Framework of Randomized Distribution Features for Visual Representation and Categorization | 10.1 | 2 | Citations (PDF) |
| 38 | Crowd Counting With Limited Labeling Through Submodular Frame Selection | 7.9 | 30 | Citations (PDF) |
| 39 | Learning Linear Representation of Space Partitioning Trees Based on Unsupervised Kernel Dimension Reduction | 10.1 | 1 | Citations (PDF) |
| 40 | Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies | 7.9 | 16 | Citations (PDF) |
| 41 | Human Identification Using Temporal Information Preserving Gait Template | 11.3 | 258 | Citations (PDF) |
| 42 | Multi-operator image retargeting with automatic integration of direct and indirect seam carving | 3.8 | 19 | Citations (PDF) |
| 43 | Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces | 3.5 | 13 | Citations (PDF) |
| 44 | Quantitative Analysis of Nonlinear Embedding | 3.5 | 9 | Citations (PDF) |
| 45 | Data-Driven Intelligent Transportation Systems: A Survey | 7.9 | 1,571 | Citations (PDF) |
| 46 | Semi-supervised Elastic net for pedestrian counting | 7.3 | 75 | Citations (PDF) |
| 47 | Non-Parametric Kernel Learning with robust pairwise constraints | 2.2 | 15 | Citations (PDF) |
| 48 | Remote Sensing Image Registration Based on Retrofitted SURF Algorithm and Trajectories Generated From Lissajous Figures | 3.3 | 42 | Citations (PDF) |
| 49 | A RIEMANNIAN DISTANCE APPROACH FOR CONSTRUCTING PRINCIPAL CURVES | 6.2 | 4 | Citations (PDF) |
| 50 | Low-Resolution Gait Recognition | 5.1 | 69 | Citations (PDF) |
| 51 | Neighbor embedding based super-resolution algorithm through edge detection and feature selection | 3.1 | 133 | Citations (PDF) |
| 52 | Adaptive Constraint K-Segment Principal Curves for Intelligent Transportation Systems | 7.9 | 32 | Citations (PDF) |