Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end ...
Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations suc...
In the field of real-time stereo matching, a concise and informative cost volume is crucial for achi...
Many document types use intrinsic, convention-driven structures that serve to encode precise and s...
Robust Visual SLAM (vSLAM) is essential for autonomous systems operating in real-world environment...
Loco-Manipulation for humanoid robots aims to enable robots to integrate mobility with upper-body ...
Cone-Beam Computed Tomography (CBCT) is widely used for intraoperative imaging due to its rapid ac...
Document reconstruction constitutes a significant facet of document analysis and recognition, a fi...
The emergence of conversational assistants has fundamentally reshaped user interactions with digit...
We present MatDecompSDF, a novel framework for recovering high-fidelity 3D shapes and decomposing ...
Camera relocalization, a cornerstone capability of modern computer vision, accurately determines a...
This paper presents Edge-based Mixture of Experts (MoE) Collaborative Computing (EMC2), an optimal...
The foundational capabilities of large language models (LLMs) are deeply influenced by the quality...
As modern computing advances, new interaction paradigms have emerged, particularly in Augmented Re...
Unmanned Aerial Vehicle-based Object Detection (UAV-OD) faces substantial challenges, including sm...
6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Rece...
OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...
Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image regist...
Simulation-based design, optimization, and validation of autonomous driving algorithms have proven...
While personalization has been explored in traditional autonomous driving systems, it remains larg...
Fast diagnosis and repair of enterprise network failures is critically important since disruptions...