For improving image composition and aesthetic quality, most existing met...
Convolutional neural networks (CNNs) have achieved high performance in
s...
Instance segmentation in electron microscopy (EM) volumes poses a signif...
The VAST Challenge 2020 Mini-Challenge 1 requires participants to identi...
Query autocomplete (QAC) also known as typeahead, suggests list of compl...
Recent work has studied text-to-audio synthesis using large amounts of p...
Self-driving vehicles (SDVs) are becoming reality but still suffer from
...
The attention-based Transformers have been increasingly applied to audio...
Accurate segmentation of multiple organs of the head, neck, chest, and
a...
Single channel target speaker separation (TSS) aims at extracting a spea...
In this research, an integrated detection model, Swin-transformer-YOLOv5...
Histopathological images contain abundant phenotypic information and
pat...
A typical trajectory planner of autonomous driving usually relies on
pre...
In software development, it is common for programmers to copy-paste code...
Due to increasingly complex software design and rapid iterative developm...
Although deep learning methods have achieved advanced video object
recog...
Statistical language modeling and translation with transformers have fou...
Mitochondria instance segmentation from electron microscopy (EM) images ...
We study permutation invariant training (PIT), which targets at the
perm...
Can our video understanding systems perceive objects when a heavy occlus...
In this paper, we consider a new secure spatial modulation scenario with...
Subsampling of received wireless signals is important for relaxing hardw...
Conv-TasNet is a recently proposed waveform-based deep neural network th...
We propose a novel algorithm for large-scale regression problems named
h...
As a green and secure wireless transmission way, secure spatial modulati...
We propose an algorithm named best-scored random forest for binary
class...
Scalable interactive visual data exploration is crucial in many domains ...
In this work, we investigate the feasibility and effectiveness of employ...
In this paper, we present a reverberation removal approach for speaker
v...
Interpreting a nonparametric regression model with many predictors is kn...
In this work, we investigate the value of employing deep learning for th...