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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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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...

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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...

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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...

Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines

Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote in...

An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)

Encryption is crucial for securing sensitive data during transmission over networks. Various encry...

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LGI-DETR: Local-Global Interaction for UAV Object Detection

UAV has been widely used in various fields. However, most of the existing object detectors used in...

SciClaims: An End-to-End Generative System for Biomedical Claim Analysis

Validating key claims in scientific literature, particularly in biomedical research, is essential ...

End-to-End Implicit Neural Representations for Classification

Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network pa...

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End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills

The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...

Deep End-to-End Posterior ENergy (DEEPEN) for image recovery

Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the m...

A Context-Driven Training-Free Network for Lightweight Scene Text Segmentation and Recognition

Modern scene text recognition systems often depend on large end-to-end architectures that require ...

Motion Synthesis with Sparse and Flexible Keyjoint Control

Creating expressive character animations is labor-intensive, requiring intricate manual adjustment...

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SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model

The computer vision community has developed numerous techniques for digitally restoring true scene...

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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...

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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...

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 ...

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