Artificial Intelligence Medical Compendium

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

Showing 64,531 to 64,540 of 231,605 articles

From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences

arXiv Jan 14, 2026
Marked Temporal Point Processes (MTPPs) arise naturally in medical, social, commercial, and financial domains. However, existing Transformer-based methods mostly inject temporal information only via positional encodings, relying on shared or parametr... read more 
Machine Learning math.ST stat.AP

Disentangle Object and Non-object Infrared Features via Language Guidance

arXiv Jan 14, 2026
Infrared object detection focuses on identifying and locating objects in complex environments (\eg, dark, snow, and rain) where visible imaging cameras are disabled by poor illumination. However, due to low contrast and weak edge information in infra... read more 
Computer Vision and Pattern Recognition

SPOT-Face: Forensic Face Identification using Attention Guided Optimal Transport

arXiv Jan 14, 2026
Person identification in forensic investigations becomes very challenging when common identification means for DNA (i.e., hair strands, soft tissue) are not available. Current methods utilize deep learning methods for face recognition. However, these... read more 
Computer Vision and Pattern Recognition

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method

arXiv Jan 14, 2026
Substation meters play a critical role in monitoring and ensuring the stable operation of power grids, yet their detection of cracks and other physical defects is often hampered by a severe scarcity of annotated samples. To address this few-shot gene... read more 
Computer Vision and Pattern Recognition

A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation

arXiv Jan 14, 2026
Gaussian Splatting has emerged as a powerful representation for high-quality, real-time 3D scene rendering. While recent works extend Gaussians with learnable textures to enrich visual appearance, existing approaches allocate a fixed square texture p... read more 
Computer Vision and Pattern Recognition

Hybrid guided variational autoencoder for visual place recognition

arXiv Jan 14, 2026
Autonomous agents such as cars, robots and drones need to precisely localize themselves in diverse environments, including in GPS-denied indoor environments. One approach for precise localization is visual place recognition (VPR), which estimates the... read more 
Computer Vision and Pattern Recognition cs.AI

PhyRPR: Training-Free Physics-Constrained Video Generation

arXiv Jan 14, 2026
Recent diffusion-based video generation models can synthesize visually plausible videos, yet they often struggle to satisfy physical constraints. A key reason is that most existing approaches remain single-stage: they entangle high-level physical und... read more 
Computer Vision and Pattern Recognition

Learning to Trust Experience: A Monitor-Trust-Regulator Framework for Learning under Unobservable Feedback Reliability

arXiv Jan 14, 2026
Learning under unobservable feedback reliability poses a distinct challenge beyond optimization robustness: a system must decide whether to learn from an experience, not only how to learn stably. We study this setting as Epistemic Identifiability und... read more 
Machine Learning

Multi-Modal LLM based Image Captioning in ICT: Bridging the Gap Between General and Industry Domain

arXiv Jan 14, 2026
In the information and communications technology (ICT) industry, training a domain-specific large language model (LLM) or constructing a retrieval-augmented generation system requires a substantial amount of high-value domain knowledge. However, the ... read more 
Computer Vision and Pattern Recognition

Frequency Error-Guided Under-sampling Optimization for Multi-Contrast MRI Reconstruction

arXiv Jan 14, 2026
Magnetic resonance imaging (MRI) plays a vital role in clinical diagnostics, yet it remains hindered by long acquisition times and motion artifacts. Multi-contrast MRI reconstruction has emerged as a promising direction by leveraging complementary in... read more 
Computer Vision and Pattern Recognition
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