Recent advances in using language models to obtain cross-modal audio-tex...
In this study, we present an approach to train a single speech enhanceme...
Collision evaluation is of vital importance in various applications. How...
In this work, we propose Exformer, a time-domain architecture for target...
In this paper, we present a self-supervised learning framework for
conti...
The visible capability is critical in many robot applications, such as
i...
Singing voice separation aims to separate music into vocals and accompan...
Quadrotors are agile platforms. With human experts, they can perform
ext...
In this paper, we describe a robust multi-drone planning framework for
h...
Multicopter swarms with decentralized structure possess the nature of
fl...
With the autonomy of aerial robots advances in recent years, autonomous ...
In this work, we present HIDACT, a novel network architecture for adapti...
We propose FEDENHANCE, an unsupervised federated learning (FL) approach ...
Recent progress in audio source separation lead by deep learning has ena...
We present an optimization-based framework for multicopter trajectory
pl...
Maintaining a map online is resource-consuming while a robust navigation...
For quadrotor trajectory planning, describing a polynomial trajectory th...
Gradient-based planners are widely used for quadrotor local planning, in...
In this paper, we present an efficient neural network for end-to-end gen...
With much research has been conducted into trajectory planning for
quadr...
This technical report provides detailed theoretical analysis of the algo...
In this paper, we propose a two-step training procedure for source separ...
Continual learning consists in incrementally training a model on a seque...
In this paper we introduce the idea of multi-view networks for sound
cla...