Artificial Intelligence Medical Compendium

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

Showing 38,961 to 38,970 of 223,469 articles

PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

arXiv Mar 24, 2026
Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that achieves this by integrating Large Multimodal Models (LMMs) reasoning ... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

arXiv Mar 24, 2026
Flicker artifacts, arising from unstable illumination and row-wise exposure inconsistencies, pose a significant challenge in short-exposure photography, severely degrading image quality. Unlike typical artifacts, e.g., noise and low-light, flicker is... read more 
Computer Vision and Pattern Recognition

Viewport-based Neural 360° Image Compression

arXiv Mar 24, 2026
Given the popularity of 360° images on social media platforms, 360° image compression becomes a critical technology for media storage and transmission. Conventional 360° image compression pipeline projects the spherical image into a single 2D plane, ... read more 
Image and Video Processing cs.CV

From Pixels to Semantics: A Multi-Stage AI Framework for Structural Damage Detection in Satellite Imagery

arXiv Mar 24, 2026
Rapid and accurate structural damage assessment following natural disasters is critical for effective emergency response and recovery. However, remote sensing imagery often suffers from low spatial resolution, contextual ambiguity, and limited semant... read more 
Computer Vision and Pattern Recognition

ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding

arXiv Mar 24, 2026
Electronic Navigational Charts (ENCs) are the safety-critical backbone of modern maritime navigation, yet it remains unclear whether multimodal large language models (MLLMs) can reliably interpret them. Unlike natural images or conventional charts, E... read more 
Computer Vision and Pattern Recognition

MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding

arXiv Mar 24, 2026
The rapid progress of Large Language Models (LLMs) has spurred growing interest in Multi-modal LLMs (MLLMs) and motivated the development of benchmarks to evaluate their perceptual and comprehension abilities. Existing benchmarks, however, are limite... read more 
Computer Vision and Pattern Recognition

SOUPLE: Enhancing Audio-Visual Localization and Segmentation with Learnable Prompt Contexts

arXiv Mar 24, 2026
Large-scale pre-trained image-text models exhibit robust multimodal representations, yet applying the Contrastive Language-Image Pre-training (CLIP) model to audio-visual localization remains challenging. Replacing the classification token ([CLS]) wi... read more 
Computer Vision and Pattern Recognition

TimeWeaver: Age-Consistent Reference-Based Face Restoration with Identity Preservation

arXiv Mar 24, 2026
Recent progress in face restoration has shifted from visual fidelity to identity fidelity, driving a transition from reference-free to reference-based paradigms that condition restoration on reference images of the same person. However, these methods... read more 
Computer Vision and Pattern Recognition

GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning

arXiv Mar 24, 2026
Multimodal Large Language Models (MLLMs) have recently demonstrated remarkable perceptual and reasoning abilities. However, they struggle to perceive fine-grained geometric structures, constraining their ability of geometric understanding and visual ... read more 
Computer Vision and Pattern Recognition

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography

arXiv Mar 24, 2026
Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcriptomics to electronic health records and phenotypic profiling. Unlike images or sequences, however, tabular datasets lack intrinsic spatial organizat... read more 
Machine Learning cs.AI
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