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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality

Bayer-patterned color filter array (CFA) has been the go-to solution for color image sensors. In a...

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Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts

Detecting ship presence via wake signatures in SAR imagery is attracting considerable research int...

Transforming Evidence Synthesis: A Systematic Review of the Evolution of Automated Meta-Analysis in the Age of AI

Exponential growth in scientific literature has heightened the demand for efficient evidence-based...

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Augmenting Perceptual Super-Resolution via Image Quality Predictors

Super-resolution (SR), a classical inverse problem in computer vision, is inherently ill-posed, in...

Unify3D: An Augmented Holistic End-to-end Monocular 3D Human Reconstruction via Anatomy Shaping and Twins Negotiating

Monocular 3D clothed human reconstruction aims to create a complete 3D avatar from a single image....

TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation

Soccer is a globally popular sporting event, typically characterized by long matches and distincti...

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model

This paper presents the technical solution proposed by Huawei Translation Service Center (HW-TSC) ...

$π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

In order for robots to be useful, they must perform practically relevant tasks in the real world, ...

SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation

Real-world robot manipulation in dynamic unstructured environments requires lifelong adaptability ...

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SCALE-Sim v3: A modular cycle-accurate systolic accelerator simulator for end-to-end system analysis

The rapid advancements in AI, scientific computing, and high-performance computing (HPC) have driv...

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection

The proliferation of Internet of Things (IoT) devices has expanded the attack surface, necessitati...

End-Edge Model Collaboration: Bandwidth Allocation for Data Upload and Model Transmission

The widespread adoption of large artificial intelligence (AI) models has enabled numerous applicat...

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Transforming Hyperspectral Images Into Chemical Maps: An End-to-End Deep Learning Approach

Current approaches to chemical map generation from hyperspectral images are based on models such a...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...

Compile Scene Graphs with Reinforcement Learning

Next-token prediction is the fundamental principle for training large language models (LLMs), and ...

Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance

Menisci are cartilaginous tissue found within the knee that contribute to joint lubrication and we...

AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Industrial Anomaly Detection (IAD) poses a formidable challenge due to the scarcity of defective s...

Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning

Aerial manipulation has recently attracted increasing interest from both industry and academia. Pr...

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SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting

Most previous scene text spotting methods rely on high-quality manual annotations to achieve promi...

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation

Single domain generalization (SDG) has recently attracted growing attention in medical image segme...

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