Automated Valet Parking (AVP) requires precise localization in challengi...
Underwater object detection faces the problem of underwater image
degrad...
Singularly perturbed problems present inherent difficulty due to the pre...
Naked eye recognition of age is usually based on comparison with the age...
Physics-informed neural networks (PINNs) have effectively been demonstra...
Template mining is one of the foundational tasks to support log analysis...
With the rapid development of classical and quantum machine learning, a ...
Visual tracker includes network and post-processing. Despite the color
d...
With the birth of Noisy Intermediate Scale Quantum (NISQ) devices and th...
Inspired by the recent success of Transformers for Natural Language
Proc...
The identification of addiction-related circuits is critical for explain...
Neural networks, especially the recent proposed neural operator models, ...
With the increasing enrichment and development of the financial derivati...
Although physics-informed neural networks(PINNs) have progressed a lot i...
Position emission tomography (PET) is widely used in clinics and researc...
In PET, the amount of relative (signal-dependent) noise present in diffe...
In the last decade, convolutional neural networks (ConvNets) have domina...
We calculate the Hankel determinants of sequences of Bernoulli polynomia...
Quantitative bone single-photon emission computed tomography (QBSPECT) h...
In the last decade, convolutional neural networks (ConvNets) have domina...
Person search generally involves three important parts: person detection...
In recent years, semi-supervised multi-view nonnegative matrix factoriza...
One of the challenges in developing deep learning algorithms for medical...
Conducting text retrieval in a dense learned representation space has ma...
Medical image segmentation can provide a reliable basis for further clin...
While graph neural networks (GNNs) have shown a great potential in vario...
Skin lesion segmentation is an important step for automated melanoma
dia...
Mining the shared features of same identity in different scene, and the
...
The current methodology in tackling Acoustic Scene Classification (ASC) ...
The main scientific question of this year DCASE challenge, Task 4 - Soun...
The use of Convolutional neural networks (ConvNets) in medical imaging
r...
Most current image super-resolution (SR) methods based on deep convoluti...
This paper presents a wearable assistive device with the shape of a pair...
Dictionary learning methods can be split into two categories: i) class
s...
Modern processors are increasingly featuring multiple cores, as well as
...
Quest-V is a system we have been developing from the ground up, with
obj...
Multi- and many-core processors are becoming increasingly popular in emb...
This paper outlines the design of `Quest-V', which is implemented as a
c...