Latest AI and machine learning research in medicare for healthcare professionals.
Clinical check-up reports are multimodal documents that combine page layouts, tables, numerical biom...
The training of large multimodal models fundamentally relies on massive image-text datasets, which i...
Diffusion models and flow-based methods have shown impressive generative capability, especially for ...
In visual localization, Absolute Pose Regression (APR) enables real-time 6-DoF camera pose inference...
Fine-tuning pre-trained robot policies with reinforcement learning (RL) often inherits the bottlenec...
Menopause affects over one billion women worldwide, yet remains poorly characterized at scale. We ap...
Long-tailed distributions in class-imbalanced data present a fundamental challenge for deep learning...
Video large multimodal models increasingly face a scalability bottleneck: long videos produce excess...
Existing affective understanding studies have mainly focused on recognizing emotions from images, au...
We introduce S2C-3D, a novel sparse-view 3D reconstruction framework for high-fidelity and complete ...
Video large multimodal models increasingly face a scalability bottleneck: long videos produce excess...
Medical multimodal large language models (MLLMs) have advanced image understanding and short-video a...
The emergence of unidentified pathogens, or "Disease X," poses a significant threat to global health...
We propose Conformal Seasonal Pools (CSP), a training-free probabilistic time-series forecaster that...
Online signature verification (OSV) requires distinguishing skilled forgeries from genuine samples u...
Egocentric pose estimation for Augmented Reality (AR) and assistive devices requires not just accura...
SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote...
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatmen...
Indoor navigation remains a critical accessibility challenge for the blind and low-vision (BLV) indi...
Ultra-High-Resolution (UHR) imagery has become essential for modern remote sensing, offering unprece...
Large language models are increasingly deployed as autonomous diagnostic agents, yet they conflate t...