Artificial Intelligence Medical Compendium

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

Showing 10,471 to 10,480 of 209,311 articles

How and What to Imagine? Visual Thinking in Unified Multimodal Models for Cross-View Spatial Reasoning

arXiv May 26, 2026
Cross-view spatial reasoning remains a weak spot for vision-language models (VLMs): they often reason in language and lose the fine-grained geometry needed for the task. Thinking with images aims to address this by generating an intermediate thinking... read more 
Computer Vision and Pattern Recognition

EdgeFlow: Edge-Map Augmented VLM-Based Flowchart Processing for Industrial Requirements Engineering

arXiv May 26, 2026
Flowcharts are widely used in industrial requirements, but usually remain embedded as static images. Vision Language Models (VLMs) show promise in the conversion of these flowcharts into machine-readable models for RE activities, yet, when directly a... read more 
Software Engineering cs.AI cs.CV

PARE: Pruning and Adaptive Routing for Efficient Video Generation

arXiv May 26, 2026
Video Diffusion Transformers (DiTs) generate high-quality videos but demand substantial compute due to wide blocks, deep architectures, and iterative sampling. Recent methods reduce cost by compressing width, depth, or sampling steps, but typically c... read more 
Computer Vision and Pattern Recognition

Towards Controllable Image Generation through Representation-Conditioned Diffusion Models

arXiv May 26, 2026
Diffusion models have emerged as powerful tools for high-quality image generation and editing, but guiding these models to produce specific outputs remains a challenge. Conventional approaches rely on conditioning mechanisms, such as text prompts or ... read more 
Computer Vision and Pattern Recognition cs.LG

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection

arXiv May 26, 2026
Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partial-edit settings where the manipulated region is small and surrounded b... read more 
Computer Vision and Pattern Recognition cs.AI

Feedforward 3D Editing Learns from Semantic-Part Transformation

arXiv May 26, 2026
3D editing is a fundamental capability for scalable 3D content creation. While image editing has rapidly evolved toward large-scale feedforward generative paradigms, 3D AI generation remains dominated by training-free editing pipelines. A central cha... read more 
Computer Vision and Pattern Recognition

OmniGF: A Dual-Branch Vision-Language Framework for Unified Gaze Following

arXiv May 26, 2026
Understanding human gaze behavior is essential for complex scene comprehension and human-computer interaction. Traditional gaze following models are typically restricted to pure spatial localization, lacking the high-level capacity to reason about se... read more 
Computer Vision and Pattern Recognition

Confounder Detection via Treatment Intent: A New Observational Study Design

arXiv May 26, 2026
Understanding the effects of interventions is central to scientific progress, with randomized controlled trials (RCTs) regarded as the gold standard for causal inference in many applied fields. However, RCTs are costly, time-consuming, and often cons... read more 
Methodology cs.AI cs.LG stat.ML

HydraPrompt: An Adaptive and Asymmetric Framework of Vision-Language Models for Synthetic Image Detection

arXiv May 26, 2026
The rapid evolution of generative models has precipitated a proliferation of fabricated content, posing significant challenges to existing Synthetic Image Detection (SID) methods. Capitalizing on advancements in vision-language models (e.g., CLIP), r... read more 
Computer Vision and Pattern Recognition

FM-fMRI: Event Conditioned Flow Matching for Rest-to-Task fMRI Time-Series Synthesis

arXiv May 26, 2026
Task-based fMRI provides a direct readout of task-evoked neural dynamics, but it is expensive and difficult to acquire at scale, motivating rest-to-task synthesis from widely available resting-state fMRI (rsfMRI). We propose FM-fMRI, an event-conditi... read more 
Machine Learning eess.IV
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