1 citations · 1 across the 6 of their papers we have counts for
8 papers
Array Configuration-Agnostic Personalized Speech Enhancement using Long-Short-Term Spatial Coherence
Yicheng Hsu, Yonghan Lee, Mingsian R. Bai
Personalized speech enhancement has been a field of active research for suppression of speechlike interferers such as competing speakers or TV dialogues. Compared with single chann…
Multi-channel target speech enhancement based on ERB-scaled spatial coherence features
Yicheng Hsu, Yonghan Lee, Mingsian R. Bai
Recently, speech enhancement technologies that are based on deep learning have received considerable research attention. If the spatial information in microphone signals is exploit…
A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments
Hyungtae Lim, Suyong Yeon, Soohyun Ryu +6
Global registration using 3D point clouds is a crucial technology for mobile platforms to achieve localization or manage loop-closing situations. In recent years, numerous research…
SelfTune: Metrically Scaled Monocular Depth Estimation through Self-Supervised Learning
Jaehoon Choi, Dongki Jung, Yonghan Lee +3
Monocular depth estimation in the wild inherently predicts depth up to an unknown scale. To resolve scale ambiguity issue, we present a learning algorithm that leverages monocular…
Learning-based personal speech enhancement for teleconferencing by exploiting spatial-spectral features
Yicheng Hsu, Yonghan Lee, Mingsian R. Bai
Teleconferencing is becoming essential during the COVID-19 pandemic. However, in real-world applications, speech quality can deteriorate due to, for example, background interferenc…
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
Dongki Jung, Jaehoon Choi, Yonghan Lee +4
We present a novel approach for estimating depth from a monocular camera as it moves through complex and crowded indoor environments, e.g., a department store or a metro station. O…
Large-scale Localization Datasets in Crowded Indoor Spaces
Donghwan Lee, Soohyun Ryu, Suyong Yeon +8
Estimating the precise location of a camera using visual localization enables interesting applications such as augmented reality or robot navigation. This is particularly useful in…
SelfDeco: Self-Supervised Monocular Depth Completion in Challenging Indoor Environments
Jaehoon Choi, Dongki Jung, Yonghan Lee +3
We present a novel algorithm for self-supervised monocular depth completion. Our approach is based on training a neural network that requires only sparse depth measurements and cor…