4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 4 cited
Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
Makito Kobayashi, Chen-Chieh Liao, Keito Inoue +2
In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is indus…
cs.SD2021
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection
Yuichiro Koyama, Kazuhide Shigemi, Masafumi Takahashi +5
Recording and annotating real sound events for a sound event localization and detection (SELD) task is time consuming, and data augmentation techniques are often favored when the a…