Yi-Kuan Hsieh

According to our database, Yi-Kuan Hsieh authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity.

Ying-Hsuan Wu, Jun-Wei Hsieh, Li Xin, Shin-You Teng, Yi-Kuan Hsieh, Ming-Ching Chang

CoRR, 2024

2023

Scale-Aware Crowd Count Network with Annotation Error Correction.

Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Li Xin

CoRR, 2023

PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws.

Bor-Shiun Wang, Ping-Yang Chen, Yi-Kuan Hsieh, Jun-Wei Hsieh, Ming-Ching Chang, JiaXin He, Shin-You Teng, HaoYuan Yue, Yu-Chee Tseng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Video Analytics for Detecting Motorcyclist Helmet Rule Violations.

Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection.

Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network.

Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Bor-Shiun Wang

CoRR, 2022

COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification.

Bor-Shiun Wang, Jun-Wei Hsieh, Yi-Kuan Hsieh, Ping-Yang Chen

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022