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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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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...

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...

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...

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

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

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...

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 ...

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...

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...

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

We introduce MentalChat16K, an English benchmark dataset combining a synthetic mental health couns...

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI

Navigation and manipulation in open-world environments remain unsolved challenges in the Embodied ...

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...

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression

Existing learning-based video compression methods still face challenges related to inaccurate moti...

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