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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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Dense Object Detection Based on De-homogenized Queries

Dense object detection is widely used in automatic driving, video surveillance, and other fields. ...

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis

Neural networks (NNs), with their powerful nonlinear mapping and end-to-end capabilities, are wide...

VFX Creator: Animated Visual Effect Generation with Controllable Diffusion Transformer

Crafting magic and illusions is one of the most thrilling aspects of filmmaking, with visual effec...

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT

This study investigates the performance of various large language models (LLMs) on zero-shot end-t...

Efficient extraction of medication information from clinical notes: an evaluation in two languages

Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language ...

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges

Autonomous edge computing in robotics, smart cities, and autonomous vehicles relies on the seamles...

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator

We propose ReMiDi, a novel method for inferring neuronal microstructure as arbitrary 3D meshes usi...

End-to-end Training for Text-to-Image Synthesis using Dual-Text Embeddings

Text-to-Image (T2I) synthesis is a challenging task that requires modeling complex interactions be...

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models

End-to-end human animation, such as audio-driven talking human generation, has undergone notable a...

Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions

Visual speech recognition remains an open research problem where different challenges must be cons...

When End-to-End is Overkill: Rethinking Cascaded Speech-to-Text Translation

Though end-to-end speech-to-text translation has been a great success, we argue that the cascaded ...

Every Image Listens, Every Image Dances: Music-Driven Image Animation

Image animation has become a promising area in multimodal research, with a focus on generating vid...

DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification

Functional data - observations in the form of curves or trajectories - arise in diverse domains su...

ContourFormer: Real-Time Contour-Based End-to-End Instance Segmentation Transformer

This paper presents Contourformer, a real-time contour-based instance segmentation algorithm. The ...

DIRIGENt: End-To-End Robotic Imitation of Human Demonstrations Based on a Diffusion Model

There has been substantial progress in humanoid robots, with new skills continuously being taught,...

FAVbot: An Autonomous Target Tracking Micro-Robot with Frequency Actuation Control

Robotic autonomy at centimeter scale requires compact and miniaturization-friendly actuation integ...

CheapNVS: Real-Time On-Device Narrow-Baseline Novel View Synthesis

Single-view novel view synthesis (NVS) is a notorious problem due to its ill-posed nature, and oft...

PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection

With the growing demand for oriented object detection (OOD), recent studies on point-supervised OO...

CHaRNet: Conditioned Heatmap Regression for Robust Dental Landmark Localization

Identifying anatomical landmarks in 3D dental models is vital for orthodontic treatment, yet manua...

FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces

Virtual film production requires intricate decision-making processes, including scriptwriting, vir...

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