Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Teleoperation plays a critical role in intuitive robot control and imitation learning, particularly for complex tasks involving mobile manipulators with redundant degrees of freedom (DoFs). However, most existing master controllers are limited to 6-DoF spatial control and basic gripper control, making them insufficient for controlling high-DoF robots and restricting the operator to a small works...
Motivation: Building and iterating machine learning models is often a resource-intensive process. In biomedical research, scientific codebases can lack scalability and are not easily transferable to work beyond what they were intended. xML-workFlow addresses this issue by providing a rapid, robust, and traceable end-to-end workflow that can be adapted to any ML project with minimal code rewritin...
Multimodal models integrating speech and vision hold significant potential for advancing human-computer interaction, particularly in Speech-Based Vi...
Generating human motion guided by conditions such as textual descriptions is challenging due to the need for datasets with pairs of high-quality mot...
In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transceivers to wirelessly communicate goal-defined featu...
Reasoning before action and imagining potential outcomes (i.e., world models) are essential for embodied agents operating in complex open-world envi...
As AI technology advances, it is driving innovation across industries, increasing the demand for scalable AI project deployment. However, deployment...
To satisfy the requirements of the end-to-end fault diagnosis of gears, an integrated intelligent method of fault diagnosis for gears using accelera...
Learning from longitudinal electronic health records is limited if it does not capture the temporal trajectories of the patient's state in a clinica...
Background: Chromosome karyotype analysis is crucial for diagnosing hereditary diseases, yet detecting structural abnormalities remains challenging....
Facial Expression Recognition (FER) from videos is a crucial task in various application areas, such as human-computer interaction and health monito...
In this report, we present Qwen2.5-Omni, an end-to-end multimodal model designed to perceive diverse modalities, including text, images, audio, and ...
End-to-end (E2E) autonomous driving methods still struggle to make correct decisions in interactive closed-loop evaluation due to limited causal rea...
Achieving fine-grained controllability in human image synthesis is a long-standing challenge in computer vision. Existing methods primarily focus on...
Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote intelligent analytics, which is crucial for future i...
Encryption is crucial for securing sensitive data during transmission over networks. Various encryption techniques exist, such as AES, DES, and RC4,...
UAV has been widely used in various fields. However, most of the existing object detectors used in drones are not end-to-end and require the design ...
Validating key claims in scientific literature, particularly in biomedical research, is essential for ensuring accuracy and advancing knowledge. Thi...
Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network parameters and show excellent results for signal rec...
The real-time assessment of complex motor skills presents a challenge in fields such as surgical training and rehabilitation. Recent advancements in...