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2020 – today
- 2024
[j2]Yu-Shu Ni
, Wei-Lun Chen, Yi Liu, Ming-Hsuan Wu, Jiun-In Guo:
Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data. Sensors 24(17): 5737 (2024)- [c6]Yu-Shu Ni, Han-Chun Chen, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Jun-Ying Hunag, Po-Chi Hu, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems. ICME Workshops 2024: 1-6 - 2023
- [c5]Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Hsien-Kai Kuo, Po-Yu Chen, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries. ICME Workshops 2023: 34-39 - [c4]Yu-Shu Ni, Chia-Chi Tsai, Jyun-Syu Lin, Hsien-Po Meng, Po-Chi Hu, Jiun-Shiung Chen, Kun-Hung Lin, Chih-Yuan Chuang, Jiun-In Guo:
Summary of the 2023 PAIR-LITEON Competition: Embedded AI Object Detection Model Design Contest on Fish-eye Around-view Cameras. MMAsia 2023: 113:1-113:7 - 2022
- [j1]Yu-Shu Ni, Vinay Malligere Shivanna, Jiun-In Guo:
iVS Dataset and ezLabel: A Dataset and a Data Annotation Tool for Deep Learning Based ADAS Applications. Remote. Sens. 14(4): 833 (2022) - [c3]Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Man-Yu Lee, Kuo Chin-Chuan, Zhe-Ln Hu, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. ICME Workshops 2022: 1-6 - 2021
- [c2]Yu-Shu Ni, Chia-Chi Tsai, Jiun-In Guo, Jenq-Neng Hwang, Bo-Xun Wu, Po-Chi Hu, Ted T. Kuo, Po-Yu Chen, Hsien-Kai Kuo:
Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. ICMR 2021: 244-249
2010 – 2019
- 2016
- [c1]Kun-Chih Jimmy Chen, Yu-Shu Ni, Jhao-Yi Wang:
Electrocardiogram diagnosis using wavelet-based artificial neural network. GCCE 2016: 1-2
Coauthor Index
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