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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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Showing 967-987 of 3,776 articles
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...

(2)
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...

(1)
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

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

(3)
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...

(1)
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...

Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems

This paper proposes a task-oriented co-design framework that integrates communication, computing, ...

HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder

Although end-to-end autonomous driving (E2E-AD) technologies have made significant progress in rec...

(1)
MsaMIL-Net: An End-to-End Multi-Scale Aware Multiple Instance Learning Network for Efficient Whole Slide Image Classification

Bag-based Multiple Instance Learning (MIL) approaches have emerged as the mainstream methodology f...

Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach

Progress in Embodied AI has made it possible for end-to-end-trained agents to navigate in photo-re...

(1)
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving

In recent years, there has been increased interest in the design, training, and evaluation of end-...

TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long Videos

Temporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial ...

End-to-End Action Segmentation Transformer

Existing approaches to action segmentation use pre-computed frame features extracted by methods wh...

(1)
TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking

In recent years, fully differentiable end-to-end autonomous driving systems have become a research...

An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization

Multi-sensor fusion is essential for autonomous vehicle localization, as it is capable of integrat...

DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI

Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity. Cortical su...

(1)
Generative Model-Assisted Demosaicing for Cross-multispectral Cameras

As a crucial part of the spectral filter array (SFA)-based multispectral imaging process, spectral...

(1)
Efficient End-to-end Visual Localization for Autonomous Driving with Decoupled BEV Neural Matching

Accurate localization plays an important role in high-level autonomous driving systems. Convention...

Foundation Models -- A Panacea for Artificial Intelligence in Pathology?

The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncov...

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers

In autonomous driving, dynamic environment and corner cases pose significant challenges to the rob...

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