邱庭軍
TING-CHUN CHIU
Master's student
Taipei City, Taiwan
A second-year master's student in the Department of Electrical Engineering at Taipei University of Technology, my research interest focuses on computer vision, image processing, and deep learning.
I am naturally curious and enjoy delving deep into topics to uncover their underlying principles and intricacies.
Internship
Aurismart CO., LTD | Taipei, Taiwan
Software Intern, Dec.2021 - Jun.2022
• Develop ESP32 to receive audio data using a microphone module.
• Develop Bluetooth communication between ESP32 and Android devices.
• Integrate audio data with a deep learning model for classification and prediction.
Education
2022- 2024
National Taipei University of Technology
Master of Electrical Engineering
Master Thesis:Study on Arbitrary Image Style Transfer with High-Fidelity Style Features by Using Conditional Latent Diffusion Models
Research Field: My research mainly focuses on using deep learning for Image Generation and Style Transfer.
Competition: AI CUP 2023 - Go strength imitation and play style recognition competition - Honorable Mention award (ranked 7/508)
2018 - 2022
National Taipei University of Technology
Bachelor of Electrical Engineering
Independent Study: A Study related to image tracking and guiding for the visually impaired.
Skills
Programming
⦁ C/C++
⦁ Python
⦁ SQL
⦁ Kotlin
⦁ Solidity
ML/DL
⦁ PyTorch
⦁ Tensorflow
⦁ Keras
DataBase
⦁ SQLite
⦁ MySQL
IDE
⦁ Visual Studio
⦁ Visual Studio Code
⦁ Android Studio
⦁ Remix IDE
Tools
⦁ Linux
⦁ Git
⦁ Docker
⦁ Anaconda
⦁ Jupyter Notebook
⦁ MATLAB
⦁ OpenCV
MCU
⦁ Arduino Uno
⦁ Arduino Nano
⦁ Raspberry Pi
⦁ ESP32
PORTFOLIO/DEMO PROJECTS
Developing a deep learning model to predict the next move of a Go player and classify the player's playing style.
Implementation of Image Processing algorithm
The implementation code for the image processing algorithm.
Independent study on Video Reconstruction From Frames
Design a method to reconstruct disordered frames of images back to their correct sequence and output them as a video.
Independent study on Human Pose Estimation
Using deep learning and skeletal point data, design a method to identify movements for 7 categories of postures.
AWARDS
• AI CUP2023 - Go strength imitation and play style recognition competition
Honorable mention award (ranked 7/508)
• International ICT innovative Services Awards 2023
Honorable mention award
