Latest Research in Computer Vision and Pattern Recognition
302 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 135 papers
- Advanced Neural Network Applications — 68 papers
- Video Surveillance and Tracking Methods — 8 papers
- Autonomous Vehicle Technology and Safety — 8 papers
- Advanced Image Fusion Techniques — 7 papers
- Infrared Target Detection Methodologies — 7 papers
- Robotics — 6 papers
- Infrastructure Maintenance and Monitoring — 6 papers
- UAV Applications and Optimization — 5 papers
- Visual Attention and Saliency Detection — 4 papers
Highest-Cited Papers
- Cross-domain spatial matching for camera and radar sensor data fusion in autonomous vehicle perception system (2 citations)
- One-Stage Object Detectors in Autonomous Driving
- An improved LSS bird’s eye view generation algorithm for urban traffic scenarios
- Uni-Map: unified camera-LiDAR perception for robust HD map construction
- Comparative Study of Out-of-the-Box Technology for Automatic Target Detection and Recognition
- Multi-task driven robust object detection for low-light traffic scenes
- OATrack: A Quality-Gated Progressive Association Framework with a YOLO Detection Cache for UAV Small-Object Multi-Object Tracking
- Adaptive Temporal Reallocation and Trajectory-Aware Modulation for Event-Level Segmentation of Small-Scale UAVs
- CDF-DETR: Cross-Stage Attention and Dual-Scale Feature Calibration for Small-Object Detection in UAV Remote Sensing Imagery
- VL-UniTrack: A Unified Framework with Visual-Language Prompts for UAV-Ground Visual Tracking
- Probing Association Instability with Track-State Perturbations for Clip-Level Active Learning in Query-Propagation Multi-Object Tracking
- S$^3$AM: A Single-Stream SAM with Reliability-Calibrated Frequency Adapter for Multi-modal Salient Object Detection
- Training with synthetic data for drone detection in thermal imagery
- Kernel-driven robust sparse fuzzy subspace clustering and rolling guidance filter for image fusion
- Which2comm: An Efficient Collaborative Perception Framework with Connected and Automated Vehicles
- A Deep Learning-Based Vision-Sharing System with Image Stitching for Blind Spot Reduction in Vehicle-Following Scenarios
- ARF-YOLO: Attention-guided adaptive resolution-aware feature learning for UAV remote sensing object detection
- Object localization in images via fusion of SFM and YOLO
- Beyond Clear Skies: Synthetic Seasonal and Weather Variations for Real-World Drone Detection
- Graph Neural Assisted Actor-Critic for Latency-Efficient Edge Vision System