Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Mastering dexterous, contact-rich object manipulation demands precise estimation of both in-hand object poses and external contact locations$\unicode{x2013}$tasks particularly challenging due to partial and noisy observations. We present ViTaSCOPE: Visuo-Tactile Simultaneous Contact and Object Pose Estimation, an object-centric neural implicit representation that fuses vision and high-resolution...
3D data derived from satellite images is essential for scene modeling applications requiring large-scale coverage or involving locations not accessible by airborne lidar or cameras. Measuring the resolution of this data is important for determining mission utility and tracking improvements. In this work, we consider methods to evaluate the resolution of point clouds, digital surface models, and ...
Remote photoplethysmography (rPPG) enables non-contact, continuous monitoring of physiological signals and offers a practical alternative to traditi...
The site conditions that make astronomical observatories in space and on the ground so desirable -- cold and dark -- demand a physical remoteness th...
Variational Autoencoders (VAEs) remain a cornerstone of generative computer vision, yet their training is often plagued by artifacts that degrade re...
Asynchronous Federated Learning (AFL) enables distributed model training across multiple mobile devices, allowing each device to independently updat...
We present HOI-PAGE, a new approach to synthesizing 4D human-object interactions (HOIs) from text prompts in a zero-shot fashion, driven by part-lev...
Learning to control high-speed objects in the real world remains a challenging frontier in robotics. Table tennis serves as an ideal testbed for thi...
The COVID-19 pandemic's severe impact highlighted the need for accurate, timely hospitalization forecasting to support effective healthcare planning...
We present a customizable soft haptic system that integrates modular hardware with an information-theoretic algorithm to personalize feedback for di...
PURPOSE: Digital health or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology an...
Lockdown measures, implemented by governments during the initial phases of the COVID-19 pandemic to reduce physical contact and limit viral spread, ...
With the rapid development of autonomous driving and extended reality, efficient transmission of point clouds (PCs) has become increasingly importan...
Prioritizing methane for near-term climate action is crucial due to its significant impact on global warming. Previous work used columnwise matched ...
Controlling fine-grained forces during manipulation remains a core challenge in robotics. While robot policies learned from robot-collected data or ...
Enabling robots with contact-rich manipulation remains a pivotal challenge in robot learning, which is substantially hindered by the data collection...
Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and a...
Although federated learning preserves training data within local privacy domains, the aggregated model parameters may still reveal private character...
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless ...
Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedical ultrasound. ADV-generated bubbles can function ...