Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease

The accurate diagnosis of Alzheimer's disease (AD) and prognosis of mild cognitive impairment (MCI...

VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation

Recent video diffusion models have enhanced video editing, but it remains challenging to handle in...

Foundation Feature-Driven Online End-Effector Pose Estimation: A Marker-Free and Learning-Free Approach

Accurate transformation estimation between camera space and robot space is essential. Traditional ...

ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning

Electrocardiogram data, one of the most widely available biosignal data, has become increasingly v...

Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning

Recent advancements in Large Language Models (LLMs) have demonstrated enhanced reasoning capabilit...

Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding

Understanding long video content is a complex endeavor that often relies on densely sampled frame ...

Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation

Hydra-MDP++ introduces a novel teacher-student knowledge distillation framework with a multi-head ...

Will Pre-Training Ever End? A First Step Toward Next-Generation Foundation MLLMs via Self-Improving Systematic Cognition

Recent progress in (multimodal) large language models ((M)LLMs) has shifted focus from pre-trainin...

Towards Learning High-Precision Least Squares Algorithms with Sequence Models

This paper investigates whether sequence models can learn to perform numerical algorithms, e.g. gr...

Alzheimer's Disease Classification Using Retinal OCT: TransnetOCT and Swin Transformer Models

Retinal optical coherence tomography (OCT) images are the biomarkers for neurodegenerative disease...

BEVDiffLoc: End-to-End LiDAR Global Localization in BEV View based on Diffusion Model

Localization is one of the core parts of modern robotics. Classic localization methods typically f...

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values

Alzheimer's disease, a neurodegenerative disorder, is associated with neural, genetic, and proteom...

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models

Visual Question Answering (VQA) models, which fall under the category of vision-language models, c...

VideoMerge: Towards Training-free Long Video Generation

Long video generation remains a challenging and compelling topic in computer vision. Diffusion bas...

Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection

Visual instructions for long-horizon tasks are crucial as they intuitively clarify complex concept...

NVP-HRI: Zero Shot Natural Voice and Posture-based Human-Robot Interaction via Large Language Model

Effective Human-Robot Interaction (HRI) is crucial for future service robots in aging societies. E...

Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space

Advanced end-to-end autonomous driving systems predict other vehicles' motions and plan ego vehicl...

SwapAnyone: Consistent and Realistic Video Synthesis for Swapping Any Person into Any Video

Video body-swapping aims to replace the body in an existing video with a new body from arbitrary s...

Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment

Long Video Question Answering (LVQA) is challenging due to the need for temporal reasoning and lar...

Identity Preserving Latent Diffusion for Brain Aging Modeling

Structural and appearance changes in brain imaging over time are crucial indicators of neurodevelo...

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