Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Computer Vision and Pattern Recognition — 2 papers
• Neurons and Cognition — 1 papers
• Machine Learning — 1 papers
• Aesthetic Perception and Analysis — 1 papers
• Metaheuristic Optimization Algorithms Research — 1 papers
• Computation and Language — 1 papers
• Domain Adaptation and Few-Shot Learning — 1 papers
• Artificial Intelligence — 1 papers
• Numerical Analysis — 1 papers
• Methodology — 1 papers

Highest-Cited Papers

1. The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models
2. Omni-Streaming Thinking
3. Visual features explain dynamic aesthetic experiences across distinct movie content
4. Federated Learning for Cross-Modality Medical Image Segmentation via Augmentation-Driven Generalization
5. Novel Methods for Catheter and Guidewire Segmentation in X-ray Fluoroscopy under a Federated Learning Setting
6. A two-step feature selection using permutation based feature importance and wrapper-based bio-inspired algorithms for classifying clinical dataset
7. No country for old linguists: LLM-brain alignment underdetermines neural computation
8. Representation Retrieval Learning for Heterogeneous Data Integration
9. ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents
10. Weighted total variation regularization for inverse problems with significant null spaces
11. Generalized Bayesian Clustering with Regression for Unaligned Longitudinal Binary Data
12. Finite-pupil admissibility constraints on the Gaussian Stiles-Crawford function