Artificial Intelligence Medical Compendium

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

Showing 2,641 to 2,650 of 202,598 articles

ShotCrop$^3$: Cropping Human-Centric Images into Cinematic Triple-Shot Compositions

arXiv Jun 4, 2026
Prior work on aesthetic composition typically produces a single aesthetically pleasing crop, overlooking the narrative value of composing multiple shots from one scene. In practice, multi-shot composition is critical for downstream creative workflows... read more 
Computer Vision and Pattern Recognition cs.MM

StableRCA: Robust Graph-Agnostic Mechanism-Level Root Cause Analysis

arXiv Jun 4, 2026
Root-Cause Analysis (RCA) seeks to identify the variables responsible for abnormal system behavior in complex domains such as manufacturing, cloud computing, and healthcare. Existing approaches face a critical bottleneck: graph-based causal methods c... read more 
Machine Learning

Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure

arXiv Jun 4, 2026
Reliable crack assessment requires not only accurate pixel-level masks but also connected crack geometry and confidence estimates that remain stable under domain shift. However, existing segmentation models can achieve high overlap scores while fragm... read more 
Computer Vision and Pattern Recognition

CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors

arXiv Jun 4, 2026
Unsupervised conditional image generation (UCGen) aims to control generation without relying on manually annotated labels, yet remains challenging due to unstructured semantic representations across granularities. To address this, we propose a novel ... read more 
Computer Vision and Pattern Recognition

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video

arXiv Jun 4, 2026
Multimodal Large Language Models (MLLMs) have advanced image and video understanding and can increasingly handle longer visual inputs. Long-horizon tasks such as autonomous driving and robotic navigation require more than recognizing the current view... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL

Beyond Output Matching: Preserving Internal Geometry in NVFP4 LLM Distillation

arXiv Jun 4, 2026
Demand for low-precision inference, including NVFP4-based approaches, has grown as large language models are increasingly deployed in latency and cost constrained production environments. Quantization-aware distillation (QAD) helps recover accuracy l... read more 
Artificial Intelligence cs.LG

Seeing Time: Benchmarking Chronological Reasoning and Shortcut Biases in Vision-Language Models

arXiv Jun 4, 2026
Recent advancements in Vision-Language Models (VLMs) have significantly enhanced their ability to interpret complex visual semantics, yet their capacity for chronological reasoning remains under-explored. In this paper, we introduce a novel benchmark... read more 
Artificial Intelligence cs.CV

Parallel Jacobi Decoding for Fast Autoregressive Image Generation

arXiv Jun 4, 2026
Autoregressive (AR) models have demonstrated remarkable performance in generating high-fidelity images. However, their inherently sequential next-token prediction leads to significantly slower inference. Recent studies have introduced Jacobi-style de... read more 
Computer Vision and Pattern Recognition

Real-Time Threat Detection from Surveillance Cameras using Machine Learning

arXiv Jun 4, 2026
Ensuring public safety in densely populated urban environments remains a critical challenge, necessitating the deployment of intelligent and automated video surveillance systems. Traditional surveillance approaches rely heavily on manual monitoring, ... read more 
Computer Vision and Pattern Recognition

Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

arXiv Jun 4, 2026
The increasing penetrations of the critical infrastructure sector in the United States with intelligent digital technologies have greatly increased exposure to advanced cyber adversaries and operational vulnerabilities. AI-powered governance and auto... read more 
Cryptography and Security cs.AI
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