Irregular visit times in longitudinal studies can jeopardise marginal
re...
Note-level automatic music transcription is one of the most representati...
The security context used in 5G authentication is generated during the
A...
Change captioning is to describe the semantic change between a pair of
s...
With the rapid development of cloud computing, virtual machine schedulin...
In this discussion draft, we explore different duopoly games of players ...
Event analysis in untrimmed videos has attracted increasing attention du...
Future activity anticipation is a challenging problem in egocentric visi...
The subjective evaluation of music generation techniques has been mostly...
Modelling disease progression of iron deficiency anaemia (IDA) following...
Most of the current supervised automatic music transcription (AMT) model...
We present and release Omnizart, a new Python library that provides a
st...
Event cameras are novel neuromorphic vision sensors with ultrahigh tempo...
Graph neural networks (GNNs) emerged recently as a standard toolkit for
...
Singing voice correction (SVC) is an appealing application for amateur
s...
Music-to-visual style transfer is a challenging yet important cross-moda...
This paper presents a neural network model to generate virtual violinist...
Virtual musicians have become a remarkable phenomenon in the contemporar...
The lack of labeled data is a major obstacle in many music information
r...
Weakly supervised referring expression grounding (REG) aims at localizin...
Existing state-of-the-art salient object detection networks rely on
aggr...
We propose the multi-layered cepstrum (MLC) method to estimate multiple
...
Style transfer of polyphonic music recordings is a challenging task when...
Melody extraction in polyphonic musical audio is important for music sig...
Marginal structural models (MSMs) with inverse probability weighting off...
A patch-based convolutional neural network (CNN) model presented in this...
This paper presents a new approach in understanding how deep neural netw...