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2020 – today
- 2024
[j1]Yi-Kuan Hsieh, Jun-Wei Hsieh
, Wu-Chih Hu, Yu-Chee Tseng:
AIoT-Based Shrimp Larvae Counting System Using Scaled Multilayer Feature Fusion Network. IEEE Internet Things J. 11(22): 36438-36451 (2024)- [c5]Tung-Lin Wang, Jun-Wei Hsieh, Yi-Kuan Hsieh:
Patch-Based Prototypical Cross-Scale Attention Network for Anomaly Detection. ICPR (2) 2024: 366-381 - [i4]Ying-Hsuan Wu, Jun-Wei Hsieh, Xin Li, Shin-You Teng, Yi-Kuan Hsieh, Ming-Ching Chang:
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity. CoRR abs/2403.02363 (2024) - 2023
- [c4]Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. AAAI 2023: 14187-14195 - [c3]Chun-Ming Tsai, Jun-Wei Hsieh, Ming-Ching Chang, Guan-Lin He, Ping-Yang Chen, Wei-Tsung Chang, Yi-Kuan Hsieh:
Video Analytics for Detecting Motorcyclist Helmet Rule Violations. CVPR Workshops 2023: 5366-5374 - [c2]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:
PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. CVPR Workshops 2023: 5477-5485 - [i3]Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Xin Li:
Scale-Aware Crowd Count Network with Annotation Error Correction. CoRR abs/2312.16771 (2023) - 2022
- [c1]Bor-Shiun Wang, Jun-Wei Hsieh, Yi-Kuan Hsieh, Ping-Yang Chen:
COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification. ICIP 2022: 3928-3932 - [i2]Yi-Kuan Hsieh, Jun-Wei Hsieh, Yu-Chee Tseng, Ming-Ching Chang, Bor-Shiun Wang:
Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network. CoRR abs/2211.06835 (2022) - [i1]Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. CoRR abs/2212.01287 (2022)
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