Automated assessment of speech intelligibility in hearing aid (HA) devic...
Today, the most widespread, widely applicable technology for gathering d...
In generative modeling, numerous successful approaches leverage a
low-di...
Human bimanual manipulation can perform more complex tasks than a simple...
Soft object manipulation tasks in domestic scenes pose a significant
cha...
Bimanual activities like coffee stirring, which require coordination of ...
Object detection for autonomous vehicles has received increasing attenti...
The point pair feature (PPF) is widely used for 6D pose estimation. In t...
In this paper, we present a distributed model predictive control (DMPC)
...
Thyroid nodule classification aims at determining whether the nodule is
...
Data-driven especially deep learning-based approaches have become a domi...
Skin lesion segmentation from dermoscopy images is of great significance...
This letter describes an approach to achieve well-known Chinese cooking ...
Recently, deep learning (DL)-based non-intrusive speech assessment model...
Improving the user's hearing ability to understand speech in noisy
envir...
In recent years, graph signal processing (GSP) technology has become pop...
Our goal is to efficiently compute low-dimensional latent coordinates fo...
In this study, we propose a cross-domain multi-objective speech assessme...
Medical ultrasound has become a routine examination approach nowadays an...
Handling non-rigid objects using robot hands necessities a framework tha...
Modern pre-trained language models are mostly built upon backbones stack...
A central challenge in training classification models in the real-world
...
Analog meters equipped with one or multiple pointers are wildly utilized...
Siamese-based trackers have achived promising performance on visual obje...
Enabling robots to work in close proximity with humans necessitates to e...
Electrical hearing by cochlear implants (CIs) may be fundamentally diffe...
Automated data augmentation has shown superior performance in image
reco...
Humans in contrast to robots are excellent in performing fine manipulati...
Pruning is the art of cutting unwanted and unhealthy plant branches and ...
Manipulation in contrast to grasping is a trajectorial task that needs t...
Tracking and locating radio-tagged wildlife is a labor-intensive and
tim...
Learning under multi-environments often requires the ability of
out-of-d...
As the world's largest professional network, LinkedIn wants to create
ec...
Additive manufacturing cyber-physical system is vulnerable to both cyber...
Recommender systems often face heterogeneous datasets containing highly
...
This paper addresses the problem of distributed control for leader-follo...
Recommender systems have been widely studied from the machine learning
p...
Reverberation, which is generally caused by sound reflections from walls...
Reverberation, which is generally caused by sound reflections from walls...
Autonomous aerial robots provide new possibilities to study the habitats...