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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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OmniSVG: A Unified Scalable Vector Graphics Generation Model

Scalable Vector Graphics (SVG) is an important image format widely adopted in graphic design becau...

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability

Building precise simulations of the real world and invoking numerical solvers to answer quantitati...

PainNet: Statistical Relation Network with Episode-Based Training for Pain Estimation

Despite the span in estimating pain from facial expressions, limited works have focused on estimat...

End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems

Large-scale coreference resolution presents a significant challenge in natural language processing...

A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models

Objective: Zero-shot methodology promises to cut down on costs of dataset annotation and domain ex...

Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image

We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made art...

Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks

Accurate and real-time three-dimensional (3D) pose estimation is challenging in resource-constrain...

HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations

Image retargeting aims to change the aspect-ratio of an image while maintaining its content and st...

Automated Survey Collection with LLM-based Conversational Agents

Objective: Traditional phone-based surveys are among the most accessible and widely used methods t...

End-to-End Driving with Online Trajectory Evaluation via BEV World Model

End-to-end autonomous driving has achieved remarkable progress by integrating perception, predicti...

8-DoFs Cable Driven Parallel Robots for Bimanual Teleportation

Teleoperation plays a critical role in intuitive robot control and imitation learning, particularl...

xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation

Motivation: Building and iterating machine learning models is often a resource-intensive process. ...

Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks

In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transce...

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

Reasoning before action and imagining potential outcomes (i.e., world models) are essential for em...

AI2Agent: An End-to-End Framework for Deploying AI Projects as Autonomous Agents

As AI technology advances, it is driving innovation across industries, increasing the demand for s...

An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy

To satisfy the requirements of the end-to-end fault diagnosis of gears, an integrated intelligent ...

iMedImage Technical Report

Background: Chromosome karyotype analysis is crucial for diagnosing hereditary diseases, yet detec...

Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data

Facial Expression Recognition (FER) from videos is a crucial task in various application areas, su...

Qwen2.5-Omni Technical Report

In this report, we present Qwen2.5-Omni, an end-to-end multimodal model designed to perceive diver...

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation

End-to-end (E2E) autonomous driving methods still struggle to make correct decisions in interactiv...

Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage

Achieving fine-grained controllability in human image synthesis is a long-standing challenge in co...

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