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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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RowDetr: End-to-End Row Detection Using Polynomials

Crop row detection is essential for enabling autonomous navigation in GPS-denied environments, suc...

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving

Vision-based autonomous driving shows great potential due to its satisfactory performance and low ...

END$^2$: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions

DNN-based watermarking methods have rapidly advanced, with the ``Encoder-Noise Layer-Decoder'' (EN...

A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization

End-to-end optimization, which simultaneously optimizes optics and algorithms, has emerged as a po...

Doe-1: Closed-Loop Autonomous Driving with Large World Model

End-to-end autonomous driving has received increasing attention due to its potential to learn from...

Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine

In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demon...

Image Retrieval Methods in the Dissimilarity Space

Image retrieval methods rely on metric learning to train backbone feature extraction models that c...

StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer

Arbitrary Style Transfer (AST) achieves the rendering of real natural images into the painting sty...

LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents

We present the first loss agent, dubbed LossAgent, for low-level image processing tasks, e.g., ima...

End to End Collaborative Synthetic Data Generation

The success of AI is based on the availability of data to train models. While in some cases a sing...

Real-Time AIoT for UAV Antenna Interference Detection via Edge-Cloud Collaboration

In the fifth-generation (5G) era, eliminating communication interference sources is crucial for ma...

Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation

Understanding video content is pivotal for advancing real-world applications like activity recogni...

EmojiDiff: Advanced Facial Expression Control with High Identity Preservation in Portrait Generation

This paper aims to bring fine-grained expression control while maintaining high-fidelity identity ...

Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach

Due to network operation and maintenance relying heavily on network traffic monitoring, traffic ma...

Spatially Visual Perception for End-to-End Robotic Learning

Recent advances in imitation learning have shown significant promise for robotic control and embod...

Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labeling

The prevalence of multi-modal content on social media complicates automated moderation strategies....

TATAA: Programmable Mixed-Precision Transformer Acceleration with a Transformable Arithmetic Architecture

Modern transformer-based deep neural networks present unique technical challenges for effective ac...

Matrix-by-matrix multiplication algorithm with $O(N^2log_2N)$ computational complexity for variable precision arithmetic

We show that assuming the availability of the processor with variable precision arithmetic, we can...

Learning autonomous driving from aerial imagery

In this work, we consider the problem of learning end to end perception to control for ground vehi...

Reinforcement Learning Control for Autonomous Hydraulic Material Handling Machines with Underactuated Tools

The precise and safe control of heavy material handling machines presents numerous challenges due ...

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