Shih-Fang Chen

According to our database, Shih-Fang Chen authored at least 18 papers between 2005 and 2026.

Collaborative distances:

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

2026

GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture.

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin

CoRR, February, 2026

GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing.

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin

CoRR, February, 2026

Sensory-CoKGE: A contextualized knowledge graph embedding framework using language models for converting text-based food attributes into numerical representation.

Yu-Tang Chang, Shih-Fang Chen

Expert Syst. Appl., 2026

IoT-based automated monitoring and assessment of tea shoot density using canopy imaging.

Hsin-Cheng Chen, Shih-Fang Chen, Shiou-Ruei Lin, Ta-Te Lin

Comput. Electron. Agric., 2026

2025

Deep Global Clustering for Hyperspectral Image Segmentation: Concepts, Applications, and Open Challenges.

Yu-Tang Chang, Pin-Wei Chen, Shih-Fang Chen

CoRR, December, 2025

SparseEB-gMCR: A Generative Solver for Extreme Sparse Components with Application to Contamination Removal in GC-MS.

Yu-Tang Chang, Shih-Fang Chen

CoRR, October, 2025

EB-gMCR: Energy-Based Generative Modeling for Signal Unmixing and Multivariate Curve Resolution.

Yu-Tang Chang, Shih-Fang Chen

CoRR, July, 2025

Improving Visual Object Tracking Through Visual Prompting.

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin

IEEE Trans. Multim., 2025

2024

Design of an basis-projected layer for sparse datasets in deep learning training using gc-ms spectra as a case study.

Yu-Tang Chang, Shih-Fang Chen

CoRR, 2024

2022

Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot.

Hsueh-Hung Cheng, Yu-Lun Dai, Yun Lin, Hao-Chun Hsu, Chu-Ping Lin, Jin-Hsing Huang, Shih-Fang Chen, Yan-Fu Kuo

Comput. Electron. Agric., 2022

A Collaborative Robot for Tea Harvesting with Adjustable Autonomy.

Yang-Lun Lai, Po-Lun Chen, Tsung-Chen Su, Wei-Yang Hwang, Shih-Fang Chen, Ping-Lang Yen

Cybern. Syst., 2022

2021

Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks.

Yu-Kai Lin, Shih-Fang Chen, Yan-Fu Kuo, Ten-Lin Liu, Shih-Yu Lee

Comput. Electron. Agric., 2021

2020

Localizing plucking points of tea leaves using deep convolutional neural networks.

Yu-Ting Chen, Shih-Fang Chen

Comput. Electron. Agric., 2020

2017

On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system.

Min-Sheng Liao, Shih-Fang Chen, Cheng-Ying Chou, Hsun-Yi Chen, Shih-Hao Yeh, Yu-Chi Chang, Joe-Air Jiang

Comput. Electron. Agric., 2017

2016

Non-contact resistance measurement of transparent electrodes deposited on flexible display substrates under repetitive bending test by terahertz time domain spectroscopy.

Bor-Jiunn Wen, Tze-An Liu, Hsing-Cheng Yu, Shih-Fang Chen, Yuh-Chuan Cheng

Displays, 2016

2015

Calibration System for Zener Voltage Standards Using a 10 V Programmable Josephson Voltage Standard at NMIJ.

Michitaka Maruyama, Akio Iwasa, Hirotake Yamamori, Shih-Fang Chen, Chiharu Urano, Nobu-hisa Kaneko

IEEE Trans. Instrum. Meas., 2015

Uncertainty Evaluation of a 10 V RMS Sampling Measurement System Using the AC Programmable Josephson Voltage Standard.

Shih-Fang Chen, Yasutaka Amagai, Michitaka Maruyama, Nobu-hisa Kaneko

IEEE Trans. Instrum. Meas., 2015

2005

Low-cost logarithmic CMOS image sensing by nonlinear analog-to-digital conversion.

Ying-Chieh Chuang, Shih-Fang Chen, Shi-Yu Huang, Ya-Chin King

IEEE Trans. Consumer Electron., 2005