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2020 – today
- 2024
[c22]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- [c21]Yao-Hui Su, Ming-Der Shieh, Chia-Chi Tsai:
Target-Aware Siamese Networks Based on Masked Attention Mechanism for Visual Object Tracking. MIPR 2024: 28-34 - 2023
- [c20]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 - [c19]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 - [c18]Chia-Chi Tsai:
A Hardware-friendly Quantization and Model Fine Tuning with STEBC for Object Detection. MWSCAS 2023: 1040-1044 - 2022
- [j3]Chia-Chi Tsai, Jiun-In Guo:
IVS-Caffe - Hardware-Oriented Neural Network Model Development. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5978-5992 (2022) - [c17]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
- [j2]Tsair-Rong Chen, Li-Ling Chen, Yu-Lin Juan, Chang-Chieh Yang, Chia-Chi Tsai:
An integrated permanent magnet brushless motor driver with commutation current ripple reduction. IEICE Electron. Express 18(24): 20210454 (2021) - [c16]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 - 2020
- [j1]Jiun-In Guo, Chia-Chi Tsai, Jian-Lin Zeng, Shao-Wei Peng, En-Chih Chang:
Hybrid Fixed-Point/Binary Deep Neural Network Design Methodology for Low-Power Object Detection. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 388-400 (2020) - [c15]Chia-Chi Tsai, Yong-Hsiang Yang, Hung-Wei Lin, Bo-Xun Wu, En-Chih Chang, Hung Yu Liu, Jhih-Sheng Lai, Po Yuan Chen, Jia-Jheng Lin, Jen Shuo Chang, Li-Jen Wang, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
The 2020 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries. ICME Workshops 2020: 1-6
2010 – 2019
- 2019
- [c14]Jiun-In Guo, Chia-Chi Tsai, Yong-Hsiang Yang, Hung-Wei Lin, Bo-Xun Wu, Ted T. Kuo, Li-Jen Wang:
Summary Embedded Deep Learning Object Detection Model Competition. MMSP 2019: 1-5 - 2018
- [c13]Guan-Ting Lin, Patrisia Sherryl Santoso, Che-Tsung Lin, Chia-Chi Tsai, Jiun-In Guo:
One Stage Detection Network with an Auxiliary Classifier for Real-Time Road Marks Detection. APSIPA 2018: 1379-1382 - [c12]Chia-Chi Tsai, Ching-Kan Tseng, Ho-Chia Tang, Jiun-In Guo:
Vehicle Detection and Classification based on Deep Neural Network for Intelligent Transportation Applications. APSIPA 2018: 1605-1608 - [c11]Shun-Min Chang, Chia-Chi Tsai, Jiun-In Guo:
A Blind Spot Detection Warning System based on Gabor Filtering and Optical Flow for E-mirror Applications. ISCAS 2018: 1-5 - 2017
- [c10]Guan-Ting Lin, Patrisia Sherryl Santoso, Che-Tsung Lin, Chia-Chi Tsai, Jiun-In Guo:
Stop line detection and distance measurement for road intersection based on deep learning neural network. APSIPA 2017: 692-695 - [c9]Yuan-Fu Li, Chia-Chi Tsai, Yi-Ting Lai, Jiun-In Guo:
A multiple-lane vehicle tracking method for forward collision warning system applications. APSIPA 2017: 1061-1064 - [c8]Tai-En Wu, Chia-Chi Tsai, Jiun-In Guo:
LiDAR/camera sensor fusion technology for pedestrian detection. APSIPA 2017: 1675-1678 - [c7]Fong-An Chang, Chia-Chi Tsai, Ching-Kan Tseng, Jiun-In Guo:
Embedded multiple object detection based on deep learning technique for advanced driver assistance system. MWSCAS 2017: 172-175 - [c6]Chia-Chi Tsai, Yi-Ting Lai, Yuan-Fu Li, Jiun-In Guo:
A vision radar system for car safety driving applications. VLSI-DAT 2017: 1-4 - 2012
- [c5]Chia-Chi Tsai, Chao-Lin Liu:
英文介系詞片語定位與英文介系詞推薦 (Attachment of English Prepositional Phrasesand Suggestions of English Prepositions) [In Chinese]. ROCLING 2012 - [c4]Chia-Chi Tsai, Chao-Lin Liu, Wei-Jie Huang, Man-Kwan Shan:
Hidden Trends in 90 Years of Harvard Business Review. TAAI 2012: 308-313 - [i1]Chia-Chi Tsai, Chao-Lin Liu, Wei-Jie Huang, Man-Kwan Shan:
Hidden Trends in 90 Years of Harvard Business Review. CoRR abs/1210.5581 (2012) - 2011
- [c3]Yuen-Hsien Tseng, Chao-Lin Liu, Chia-Chi Tsai, Jui-Ping Wang, Yi-Hsuan Chuang, James Jeng:
Statistical Approaches to Patent Translation for PatentMT - Experiments with Various Settings of Training Data. NTCIR 2011 - [c2]Yi-Hsuan Chuang, Jui-Ping Wang, Chia-Chi Tsai, Chao-Lin Liu:
英文技術文獻中一般動詞與其受詞之中文翻譯的語境效用 (Collocational Influences on the Chinese Translations of Non-Technical English Verbs and Their Objects in Technical Documents) [In Chinese]. ROCLING 2011: 94-108 - 2010
- [c1]Chao-Shainn Huang, Wei-Ti Kuo, Chia-Ling Li, Chia-Chi Tsai, Chao-Lin Liu:
以語文特徵為基之中學閱讀測驗短文分級 (Using Linguistic Features to Classify Texts for Reading Comprehension Tests at the High School Levels) [In Chinese]. ROCLING 2010
Coauthor Index
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