Latest Research in Computer Vision and Pattern Recognition
34 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 14 papers
- Multimodal Machine Learning Applications — 7 papers
- Intelligence, Security, War Strategy — 2 papers
- Statistics Theory — 1 papers
- Augmented Reality Applications — 1 papers
- Robot Manipulation and Learning — 1 papers
- Information Retrieval — 1 papers
- Optics — 1 papers
- Artificial Intelligence — 1 papers
- Video Analysis and Summarization — 1 papers
Highest-Cited Papers
- Multimodal Alignment Through Joint Kernel Entropic Gromov--Wasserstein Optimal Transport
- CAPEval: A Decoupled Caption Evaluation across Understanding and Generation
- Entity-Faithful Repair of Synthetic Supervision for Zero-Shot Image Captioning
- Cognitive neuroscience-inspired multimodal perceptual fusion framework for enhanced mixed reality environments: a deep learning approach
- Adjudicated Captioning: Multi-Agent Alignment Scoring and Consensus-Distilled Beam Arbitration for Strict Zero-Shot Image Captioning
- Autonomous service robot for fast restock and intelligent straightening of food products in convenience stores
- RefCaptioner: Multi-Reference Image-Grounded Video Captioning
- EuroMillions Breakthrough Mining — 834 Sources, 3828 Leads Extracted — E8 Intelligence Research
- MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models
- Global-to-Local Visual Conditioning for Image Captioning with a Frozen Vision–Language Model
- EuroMillions Breakthrough Mining — 764 Sources, 3163 Leads Extracted — E8 Intelligence Research
- Towards Faithful Sentimental Image Captioning via Evidence-Aware Multi-Agent Reasoning
- DO-CGI: deep-optimized illumination patterns for computational ghost imaging at low sampling ratios
- DSCH-Loss: A Dynamic Semantic Channel Objective for Deep Semantic Hashing
- A comprehensive survey on feature representation for content based video retrieval
- VIP: Finding Important People in Images
- A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions
- Construction of a fine-grained retrieval model for archival text-image based on the integration of scene graph generation and attention mechanism
- Distribution-Alignment Bridge for Uncertainty-Aware Text-to-Video Retrieval
- ProCap: Prominence-guided Object Rectification for Faithful and Comprehensive Video Captioning