Artificial Intelligence Medical Compendium

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

Showing 64,551 to 64,560 of 231,605 articles

GlovEgo-HOI: Bridging the Synthetic-to-Real Gap for Industrial Egocentric Human-Object Interaction Detection

arXiv Jan 14, 2026
Egocentric Human-Object Interaction (EHOI) analysis is crucial for industrial safety, yet the development of robust models is hindered by the scarcity of annotated domain-specific data. We address this challenge by introducing a data generation frame... read more 
Computer Vision and Pattern Recognition

Hot-Start from Pixels: Low-Resolution Visual Tokens for Chinese Language Modeling

arXiv Jan 14, 2026
Large language models typically represent Chinese characters as discrete index-based tokens, largely ignoring their visual form. For logographic scripts, visual structure carries semantic and phonetic information, which may aid prediction. We investi... read more 
Computer Vision and Pattern Recognition cs.AI

Trustworthy Longitudinal Brain MRI Completion: A Deformation-Based Approach with KAN-Enhanced Diffusion Model

arXiv Jan 14, 2026
Longitudinal brain MRI is essential for lifespan study, yet high attrition rates often lead to missing data, complicating analysis. Deep generative models have been explored, but most rely solely on image intensity, leading to two key limitations: 1)... read more 
Computer Vision and Pattern Recognition

OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding

arXiv Jan 14, 2026
We propose OpenVoxel, a training-free algorithm for grouping and captioning sparse voxels for the open-vocabulary 3D scene understanding tasks. Given the sparse voxel rasterization (SVR) model obtained from multi-view images of a 3D scene, our OpenVo... read more 
Computer Vision and Pattern Recognition

Multimodal Signal Processing For Thermo-Visible-Lidar Fusion In Real-time 3D Semantic Mapping

arXiv Jan 14, 2026
In complex environments, autonomous robot navigation and environmental perception pose higher requirements for SLAM technology. This paper presents a novel method for semantically enhancing 3D point cloud maps with thermal information. By first perfo... read more 
Robotics cs.CV

Show, don't tell -- Providing Visual Error Feedback for Handwritten Documents

arXiv Jan 14, 2026
Handwriting remains an essential skill, particularly in education. Therefore, providing visual feedback on handwritten documents is an important but understudied area. We outline the many challenges when going from an image of handwritten input to co... read more 
Computer Vision and Pattern Recognition cs.CL

Sim2real Image Translation Enables Viewpoint-Robust Policies from Fixed-Camera Datasets

arXiv Jan 14, 2026
Vision-based policies for robot manipulation have achieved significant recent success, but are still brittle to distribution shifts such as camera viewpoint variations. Robot demonstration data is scarce and often lacks appropriate variation in camer... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Identifying Models Behind Text-to-Image Leaderboards

arXiv Jan 14, 2026
Text-to-image (T2I) models are increasingly popular, producing a large share of AI-generated images online. To compare model quality, voting-based leaderboards have become the standard, relying on anonymized model outputs for fairness. In this work, ... read more 
Computer Vision and Pattern Recognition cs.CR cs.LG

Image2Garment: Simulation-ready Garment Generation from a Single Image

arXiv Jan 14, 2026
Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this problem. Prior methods either require multi-view capture and expensive diffe... read more 
Computer Vision and Pattern Recognition

Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design

arXiv Jan 14, 2026
Structure-based and ligand-based computational drug design have traditionally relied on disjoint data sources and modeling assumptions, limiting their joint use at scale. In this work, we introduce Contrastive Geometric Learning for Unified Computati... read more 
Machine Learning stat.ML
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