A key challenge in robotic manipulation in open domains is how to acquir...
Deep learning models often require large amounts of data for training,
l...
We present a novel approach to improve the performance of learning-based...
We propose a mesh-based neural network (MESH2IR) to generate acoustic im...
We present the Geometric-Wave Acoustic (GWA) dataset, a large-scale audi...
We present a neural-network-based fast diffuse room impulse response
gen...
We present a novel approach that improves the performance of reverberant...
Deep neural networks have recently shown great success in the task of bl...
We present a novel geometric deep learning method to compute the acousti...
We propose a novel method for generating scene-aware training data for
f...
We present a method for improving the quality of synthetic room impulse
...
We present a Generative Adversarial Network (GAN) based room impulse res...
We present a novel hybrid sound propagation algorithm for interactive
ap...
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all ove...
Background: Chest computed tomography (CT) is recognized as an important...
We present a new method to capture the acoustic characteristics of real-...
We propose a method for generating low-frequency compensated synthetic
i...
We present an efficient and realistic geometric sound simulation approac...
We present a novel learning-based approach to estimate the
direction-of-...
A common problem in acoustic design is the placement of speakers or rece...