Artificial Intelligence Medical Compendium

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

Showing 35,231 to 35,240 of 222,841 articles

Sparsity-Aware Voxel Attention and Foreground Modulation for 3D Semantic Scene Completion

arXiv Apr 7, 2026
Monocular Semantic Scene Completion (SSC) aims to reconstruct complete 3D semantic scenes from a single RGB image, offering a cost-effective solution for autonomous driving and robotics. However, the inherently imbalanced nature of voxel distribution... read more 
Computer Vision and Pattern Recognition

RHVI-FDD: A Hierarchical Decoupling Framework for Low-Light Image Enhancement

arXiv Apr 7, 2026
Low-light images often suffer from severe noise, detail loss, and color distortion, which hinder downstream multimedia analysis and retrieval tasks. The degradation in low-light images is complex: luminance and chrominance are coupled, while within t... read more 
Computer Vision and Pattern Recognition

Stealthy and Adjustable Text-Guided Backdoor Attacks on Multimodal Pretrained Models

arXiv Apr 7, 2026
Multimodal pretrained models are vulnerable to backdoor attacks, yet most existing methods rely on visual or multimodal triggers, which are impractical since visually embedded triggers rarely occur in real-world data. To overcome this limitation, we ... read more 
Cryptography and Security cs.LG

WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering

arXiv Apr 7, 2026
Multi-modal Retrieval-Augmented Generation (RAG) has emerged as a highly effective paradigm for Knowledge-Based Visual Question Answering (KB-VQA). Despite recent advancements, prevailing methods still primarily depend on images as the retrieval key,... read more 
Computer Vision and Pattern Recognition cs.CL cs.IR

Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

arXiv Apr 7, 2026
Multimodal contrastive learning is increasingly enriched by going beyond image-text pairs. Among recent contrastive methods, Symile is a strong approach for this challenge because its multiplicative interaction objective captures higher-order cross-m... read more 
Machine Learning

Modeling Patient Care Trajectories with Transformer Hawkes Processes

arXiv Apr 7, 2026
Patient healthcare utilization consists of irregularly time-stamped events, such as outpatient visits, inpatient admissions, and emergency encounters, forming individualized care trajectories. Modeling these trajectories is crucial for understanding ... read more 
Machine Learning q-bio.QM

Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models

arXiv Apr 7, 2026
Modern text-to-image (T2I) models can now render legible, paragraph-length text, enabling a fundamentally new class of misuse. We identify and formalize the inscriptive jailbreak, where an adversary coerces a T2I system into generating images contain... read more 
Computer Vision and Pattern Recognition

Neural Network Pruning via QUBO Optimization

arXiv Apr 7, 2026
Neural network pruning can be formulated as a combinatorial optimization problem, yet most existing approaches rely on greedy heuristics that ignore complex interactions between filters. Formal optimization methods such as Quadratic Unconstrained Bin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.NE

Automatic dental superimposition of 3D intraorals and 2D photographs for human identification

arXiv Apr 7, 2026
Dental comparison is considered a primary identification method, at the level of fingerprints and DNA profiling. One crucial but time-consuming step of this method is the morphological comparison. One of the main challenges to apply this method is th... read more 
Computer Vision and Pattern Recognition cs.AI

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis

arXiv Apr 7, 2026
Vision-Language Models (VLMs) have demonstrated strong capabilities in perception, yet holistic Affective Image Content Analysis (AICA), which integrates perception, reasoning, and generation into a unified framework, remains underexplored. To addres... read more 
Computer Vision and Pattern Recognition
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