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 — 13 papers
- Multimodal Machine Learning Applications — 7 papers
- Information Retrieval — 4 papers
- Machine Learning — 3 papers
- Advanced Image and Video Retrieval Techniques — 2 papers
- Intelligence, Security, War Strategy — 1 papers
- Optics — 1 papers
- Artificial Intelligence — 1 papers
- Handwritten Text Recognition Techniques — 1 papers
- Image Retrieval and Classification Techniques — 1 papers
Highest-Cited Papers
- 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
- 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
- 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
- Beyond Post-Quantization: Native Hash Learning with a Dedicated HASH Token
- Frequency-based Rerpesentation Consistency Regularization for Dense Retrieval
- An end-to-end dense video captioning network with multimodal data fusion and multi-level visual feature enhancement via the ViFi-CLIP pretrained model
- MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
- A Comprehensive Survey of Cross-Modal Retrieval: Breaking Through Modal Barriers
- AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning
- Symbal: Detecting Systematic Misalignments in Model-Generated Captions
- AI-driven feature descriptor design using CNNs and transfer learning for enhanced image retrieval accuracy and efficiency
- An assistive framework for visually impaired using deep learning and natural language processing
- SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval