Artificial Intelligence Medical Compendium

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

Showing 14,001 to 14,010 of 211,462 articles

AesFormer: Transform Everyday Photos into Beautiful Memories

arXiv May 21, 2026
In everyday photography, aesthetically appealing moments are often captured with structural flaws (e.g., composition, camera viewpoint, or pose) that existing retouching and portrait enhancement methods cannot fix. We formulate Aesthetic Photo Recons... read more 
Computer Vision and Pattern Recognition

Accelerating Vision Foundation Models with Drop-in Depthwise Convolution

arXiv May 21, 2026
Pretrained vision foundation models deliver strong performance across tasks with limited fine-tuning. However, their Vision Transformer (ViT) backbones impose high inference costs, limiting deployment on resource-constrained devices. In this work, we... read more 
Computer Vision and Pattern Recognition

EventGait: Towards Robust Gait Recognition with Event Streams

arXiv May 21, 2026
Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity of conventional cameras. In this work, we explore gait recognition using event cameras, whic... read more 
Computer Vision and Pattern Recognition

Flow-based Gaussian Splatting for Continuous-Scale Remote Sensing Image Super-Resolution

arXiv May 21, 2026
High-resolution remote sensing images (RSIs) are crucial for Earth observation applications, yet acquiring them is often limited by sensor constraints and costs. In recent years, generative super-resolution (SR) methods, particularly diffusion models... read more 
Computer Vision and Pattern Recognition

Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines

arXiv May 21, 2026
Symbolic methods are generally not considered competitive with strong modern learners on realistic supervised tasks. We evaluate Algebraic Machine Learning (AML), a framework that learns through subdirect decomposition of algebraic structure rather t... read more 
Machine Learning

Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset

arXiv May 21, 2026
Event-based low-light image enhancement (LIE) methods mainly focus on incorporating high dynamic range (HDR) information from events while overlooking the essential global illumination in images and the inherent noise sensitivity of event signals in ... read more 
Computer Vision and Pattern Recognition

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

arXiv May 21, 2026
Recent feed-forward 3D gaussian splatting methods have made dramatic progress on individual aspects of 3D scene reconstruction, but no existing method jointly addresses dynamic content, multi-view input, and unknown camera poses in a single feed-forw... read more 
Computer Vision and Pattern Recognition

Ultra-High-Definition Image Quality Assessment via Graph Representation Learning

arXiv May 21, 2026
Blind image quality assessment (BIQA) for ultrahighdefinition (UHD) images remains challenging because native-resolution inference is computationally expensive, whereas aggressive resizing or isolated cropping may suppress scale-sensitive distortions... read more 
Computer Vision and Pattern Recognition

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025

arXiv May 21, 2026
Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment holds significant potential to improve surgical training. While machine learning-based methods are i... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning

arXiv May 21, 2026
Multimodal Large Language Model (MLLM)-driven image restoration agent demonstrates effectiveness in degradation coupling scenarios by flexibly selecting tools and determining removal orders. However, their zero-shot planning often fails without exper... read more 
Computer Vision and Pattern Recognition
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