Latest Research in Computer Vision and Pattern Recognition
44 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 9 papers
- Machine Learning — 7 papers
- Image and Signal Denoising Methods — 5 papers
- Image and Video Processing — 2 papers
- Methodology — 2 papers
- Advanced Neuroimaging Techniques and Applications — 2 papers
- EEG and Brain-Computer Interfaces — 2 papers
- Neuroethics, Human Enhancement, Biomedical Innovations — 1 papers
- Embodied and Extended Cognition — 1 papers
- Artificial Intelligence — 1 papers
Highest-Cited Papers
- Multi-resolution enhancement for full-spectrum neural representations (2 citations)
- A Testable Computational Framework for Cognitive Enhancement: Information Input, Understanding Emergence, and Bounded Error Dynamics
- A Testable Computational Framework for Cognitive Enhancement: Information Input, Understanding Emergence, and Bounded Error Dynamics
- Compression Hurts, Pooling Helps: Information Loss in Rayleigh-Scale Estimation from B-Mode Ultrasound
- Variable-Projection Sparse Functional Principal Component Analysis: Interpretable Functional Dimensionality Reduction with Applications to Raman Spectral Data
- The Attention Within: Consensus Dynamics in Selective State Space Models
- Noise2Noise Revisited: Training Pair Distributions Dominate Loss Choice in Self-Supervised Denoising
- Real image denoising algorithm based on the feature adaptive sharing network
- Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition
- Statistical Analysis of Denoising Filter Effects on GLCM Texture Features
- Multimodal Signal Restoration with Signed Twofold Graph Learning
- Statistical Analysis of Denoising Filter Effects on GLCM Texture Features
- Newton Deep Unfolding for Compressed Sensing
- Direct Conditional Transition Sampling for Diffusion Inverse Problems
- Can one regularizer reproduce posterior means at two noise levels?
- Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems
- Constrained Denoising, Empirical Bayes, and Optimal Transport
- Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
- Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping
- ALNet: An Adaptive Lateral-Interaction Spiking Neural Network for Event-Based Motion Deblurring