Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 18,031 to 18,040 of 214,033 articles

HDRFace: Rethinking Face Restoration with High-Dimensional Representation

arXiv May 14, 2026
Face restoration under complex degradations still remains an ill-posed inverse problem due to severe information loss. Although diffusion models benefit from strong generative priors, most methods still condition only on low-quality inputs, making it... read more 
Computer Vision and Pattern Recognition

The Velocity Deficit: Initial Energy Injection for Flow Matching

arXiv May 14, 2026
While Flow Matching theoretically guarantees constant-velocity trajectories, we identify a critical breakdown in high-dimensional practice: the Velocity Deficit. We show that the MSE objective systematically underestimates velocity magnitude, causing... read more 
Computer Vision and Pattern Recognition

Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation

arXiv May 14, 2026
In recent years, computer vision has witnessed remarkable progress, fueled by the development of innovative architectures such as Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), diffusion-based architectures, Vision Tran... read more 
Computer Vision and Pattern Recognition cs.CR cs.SI

Do Composed Image Retrieval Benchmarks Require Multimodal Composition?

arXiv May 14, 2026
Composed Image Retrieval (CIR) is a multimodal retrieval task where a query consists of a reference image and a textual modification, and the goal is to retrieve a target image satisfying both. In principle, strong performance on CIR benchmarks is as... read more 
Computer Vision and Pattern Recognition cs.CL

MonoPRIO: Adaptive Prior Conditioning for Unified Monocular 3D Object Detection

arXiv May 14, 2026
Monocular 3D object detection remains challenging because metric size and depth are underdetermined by single-view evidence, particularly under occlusion, truncation, and projection-induced scale-depth ambiguity. Although recent methods improve depth... read more 
Computer Vision and Pattern Recognition

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction

arXiv May 14, 2026
Accurately predicting individual aesthetic evaluation for images is a fundamental challenge for AI. Various deep learning (DL)-based models have been proposed for this task, training on image evaluation data to extract objective low-level features. H... read more 
Artificial Intelligence cs.HC

Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement

arXiv May 14, 2026
De novo crystal generation seeks to discover materials that are not merely realistic, but also stable and novel. However, most existing generative models are trained to maximize the likelihood of observed crystals, which encourages samples to stay cl... read more 
Machine Learning

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators

arXiv May 14, 2026
Spectral token mixers based on Fourier transforms provide an efficient way to model global interactions in visual feature maps. Existing designs often either apply filter-wise spectral responses along fixed channel axes, or learn adaptive frequency-i... read more 
Computer Vision and Pattern Recognition

Agentifying Patient Dynamics within LLMs through Interacting with Clinical World Model

arXiv May 14, 2026
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient physiology. Although large language models (LLMs) encode broad clinical knowledge and can reason over guidelines, they are not inherently grounded in ... read more 
Artificial Intelligence cs.CL cs.LG

Towards Label-Free Single-Cell Phenotyping Using Multi-Task Learning

arXiv May 14, 2026
Label-free single-cell imaging offers a scalable, non-invasive alternative to fluorescence-based cytometry, yet inferring molecular phenotypes directly from bright-field morphology remains challenging. We present a unified Deep Learning (DL) framewor... read more 
Computer Vision and Pattern Recognition cs.AI
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