5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Yi-Syuan Liou, Tsung-Han Wu, Jia-Fong Yeh +2
Obtaining large-scale labeled object detection dataset can be costly and time-consuming, as it involves annotating images with bounding boxes and class labels. Thus, some specializ…
cs.CV2022★ 5 cited
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation
Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan +4
In the field of domain adaptation, a trade-off exists between the model performance and the number of target domain annotations. Active learning, maximizing model performance with…
cs.SD2021
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion
Yi-Syuan Liou, Wen-Chin Huang, Ming-Chi Yen +5
Voice conversion (VC) is an effective approach to electrolaryngeal (EL) speech enhancement, a task that aims to improve the quality of the artificial voice from an electrolarynx de…