Yu-Shu Ni

According to our database, Yu-Shu Ni authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data.

Yu-Shu Ni, Wei-Lun Chen, Yi Liu, Ming-Hsuan Wu, Jiun-In Guo

Sensors, September, 2024

Summary of the 2024 Low-Power Efficient and Accurate Facial-Landmark Detection for Embedded Systems.

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Summary of the 2023 PAIR-LITEON Competition: Embedded AI Object Detection Model Design Contest on Fish-eye Around-view Cameras.

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

Proceedings of the ACM Multimedia Asia 2023, 2023

Summary of the 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

2022

iVS Dataset and ezLabel: A Dataset and a Data Annotation Tool for Deep Learning Based ADAS Applications.

Yu-Shu Ni, Vinay Malligere Shivanna, Jiun-In Guo

Remote. Sens., 2022

Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries.

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

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

2021

Summary of the 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries.

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

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2016

Electrocardiogram diagnosis using wavelet-based artificial neural network.

Kun-Chih Jimmy Chen, Yu-Shu Ni, Jhao-Yi Wang

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016