Artificial Intelligence Medical Compendium

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

Showing 56,521 to 56,530 of 226,846 articles

Training-Free Representation Guidance for Diffusion Models with a Representation Alignment Projector

arXiv Jan 30, 2026
Recent progress in generative modeling has enabled high-quality visual synthesis with diffusion-based frameworks, supporting controllable sampling and large-scale training. Inference-time guidance methods such as classifier-free and representative gu... read more 
Computer Vision and Pattern Recognition cs.AI

Head-Aware Visual Cropping: Enhancing Fine-Grained VQA with Attention-Guided Subimage

arXiv Jan 30, 2026
Multimodal Large Language Models (MLLMs) show strong performance in Visual Question Answering (VQA) but remain limited in fine-grained reasoning due to low-resolution inputs and noisy attention aggregation. We propose \textbf{Head Aware Visual Croppi... read more 
Computer Vision and Pattern Recognition

DreamVAR: Taming Reinforced Visual Autoregressive Model for High-Fidelity Subject-Driven Image Generation

arXiv Jan 30, 2026
Recent advances in subject-driven image generation using diffusion models have attracted considerable attention for their remarkable capabilities in producing high-quality images. Nevertheless, the potential of Visual Autoregressive (VAR) models, des... read more 
Computer Vision and Pattern Recognition

SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson's Disease for Precision Decision-Making

arXiv Jan 30, 2026
Parkinson's disease (PD) is a chronic and complex neurodegenerative disorder influenced by genetic, clinical, and lifestyle factors. Predicting this disease early is challenging because it depends on traditional diagnostic methods that face issues of... read more 
Machine Learning cs.AI

Corrected Samplers for Discrete Flow Models

arXiv Jan 30, 2026
Discrete flow models (DFMs) have been proposed to learn the data distribution on a finite state space, offering a flexible framework as an alternative to discrete diffusion models. A line of recent work has studied samplers for discrete diffusion mod... read more 
Machine Learning cs.LG

Can 3D point cloud data improve automated body condition score prediction in dairy cattle?

arXiv Jan 30, 2026
Body condition score (BCS) is a widely used indicator of body energy status and is closely associated with metabolic status, reproductive performance, and health in dairy cattle; however, conventional visual scoring is subjective and labor-intensive.... read more 
Computer Vision and Pattern Recognition

SHED Light on Segmentation for Dense Prediction

arXiv Jan 30, 2026
Dense prediction infers per-pixel values from a single image and is fundamental to 3D perception and robotics. Although real-world scenes exhibit strong structure, existing methods treat it as an independent pixel-wise prediction, often resulting in ... read more 
Computer Vision and Pattern Recognition

EndoCaver: Handling Fog, Blur and Glare in Endoscopic Images via Joint Deblurring-Segmentation

arXiv Jan 30, 2026
Endoscopic image analysis is vital for colorectal cancer screening, yet real-world conditions often suffer from lens fogging, motion blur, and specular highlights, which severely compromise automated polyp detection. We propose EndoCaver, a lightweig... read more 
Image and Video Processing cs.CV

Exo-Plore: Exploring Exoskeleton Control Space through Human-aligned Simulation

arXiv Jan 30, 2026
Exoskeletons show great promise for enhancing mobility, but providing appropriate assistance remains challenging due to the complexity of human adaptation to external forces. Current state-of-the-art approaches for optimizing exoskeleton controllers ... read more 
Robotics cs.GR cs.LG

EUGens: Efficient, Unified, and General Dense Layers

arXiv Jan 30, 2026
Efficient neural networks are essential for scaling machine learning models to real-time applications and resource-constrained environments. Fully-connected feedforward layers (FFLs) introduce computation and parameter count bottlenecks within neural... read more 
Machine Learning cs.AI
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