Yang Hong-Bin (Petingo)
Portfolio
Github
[email protected]
Lausanne, Switzerland
Education
École Polytechnique Fédérale de Lausanne (EPFL)
M.S. in Computer Science
Sep. 2021 ~ Present
- GPA 5.4/6.0
Taiwan Tech
B.S. in Computer Science
Sep. 2016 ~ Jun. 2020
- GPA 4.1/4.3
Czech Technical University in Prague
Exchange Student in the Faculty of Electrical
Engineering
Feb. 2020 ~ Jun. 2020
- GPA 1.0/1.0
Skill
Technical - Computer Vision, Deep Learning, 3D Geometry Computing, AR, Digital Fabrication
Programming - C, C++, Python, JavaScript, Go, Java
Language - English (C1-C2), German (Beginner), Japanese (Basic), Mandarin (Native)
Professional Experience
IBOIS (Laboratory for Timber Constructions), EPFL
Part-time Student Assistant & Full-time Summer
Internship
Apr. 2022 ~ Present
- Participated in a research project of augmented reality for hand-held carpentry tools.
-
Refined an open-source SLAM method and integrated it into the
main program (in C++), including:
- Developing new features such as map fusion and 3D model reconstruction
- Enabling OpenGL compatibility to fuse the virtual scene and the camera view
- Resolving several bugs in the original code to increase the robustness and stability.
Artificial Intelligence and Image Understanding Lab, Academia Sinica
Research Assistant
Jul. 2020 ~ Dec. 2020
- Explored the possibility of utilizing image quality assessment methods (NIMA and BRISQUE) to enhance the realness of the composite image produced by deep learning-based image harmonization methods (e.g. Deepfake).
- Re-implemented a deep learning-based image forgery detection method (Face X-ray) in PyTorch and tried to improve it by introducing more features such as DCT and FFT.
Lab of Image/Video Processing and Compression, Taiwan Tech
Student Research Assistant
Jan. 2019 ~ Feb. 2020
- Conducted research on chroma subsampling and upsampling on both normal photo and light-field images (mainly in Python and Tensorflow 1.0).
- Proposed an low-distortion YUV420 subsampling method, which outperform the previous state-of-the-art by 1.1dB (2.5%) in the evaluation of PSNR.
STAR BIT Innovation Co.,Ltd.
Software Engineer Intern
Mar. 2018 ~ Jul. 2019
- Developed front-end APIs of a decentralized cryptocurrency exchange in JavaScript to enable 5 different kinds of Ethereum wallets to interact with the Ethereum blockchain directly through the web interface.
- Collaborated with KeyXentic and developed a Chrome Extension that enables web3.js support for their hardware wallet.
Publication
H. B. Yang, M. Johanes, F. C. Kim, M. Bernhard, & J. Huang, “Architectural Sketch to 3D Model: An Experiment on Simple-Form Houses,” Under review of CAAD Future 2023
- Created a synthetic dataset of 3D house models and corresponding hand-drawn sketches with Rhino Grasshopper and trained a deep learning network that can generate a 3D mesh based on a hand-drawn sketch.
- Built a web-based interface for demonstration, where the user can sketch and view the generated result in a browser.
Chung, K. L., Cheng, J. S., & Yang, H. B. , “Effective Chroma Subsampling and Luma Modification for RGB Full-Color Images Using the Multiple Linear Regression Technique,” IEEE Access, 8, 118315-118323., Jun 2020 (Link to Paper)
- Proposed the initial idea of applying multiple linear regression on YUV420 subsampling to minimize the distortion.
- The final result outperformed the previous state-of-the-art by 1.1dB (2.5%) in the evaluation of PSNR.
Honors & Awards
2021 | Special Award of the Year – Shin Kong Mitsukoshi International Photography Contest
2020 | Study Abroad Scholarship – Taiwan Tech and Ministry of Education, Taiwan
- Based on English proficiency
2019 | College Student Research Scholarship – Ministry of Science and Technology, Taiwan
- Based on the research proposal and academic performance
- Proposed a low-distortion CNN-based chroma upsampling method for light field image, which outperforms the conventional bicubic and bilinear method by 1.24dB (2.9%) and 2.22dB (5.4%), respectively, in the evaluation of PSNR.
2019 | Silver Award – ICPC Taiwan National Contest for Technology Universities
- Competitive programming contest; preliminary for ACM-ICPC
2018 | 1st Place – National Taiwan University System App Innovation Contest
- Demonstrated a map-based student forum (Android APP, Java)
2018 | Honorable mention – National Collegiate Programming Contest (Taiwan)
- Competitive programming contest; preliminary for ACM-ICPC
2017 | Best Presentation Award – Intelligent Living Hackathon
- Top 6 among 50 teams
- Demonstrated a management system for a shared refrigerator using an Android phone and student ID.