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IShengFang/README.md

方宜晟 / I-Sheng "Ethan" Fang/ Gî-Tshiânn Png

("I-Sheng" pronounce like "Ethan")

[portfolio] [github] [facebook] [instagram] [linkedin] [curriculum vitae] [google scholar]

iSheng's github stats Top Langs

Description

I am a Research Assistant in CITI at Academia Sinica, working with Dr. Jun-Cheng Chen. Before that, I received my Master degree in Robotics from National Yang Ming Chiao Tung University (the merger of National Chiao Tung University and National Yang Ming University) in January, 2023. My advisors are Prof. Yong-Sheng Chen and Prof. Wei-Chen (Walon) Chiu. I was a graduate student of Department of Computer Science at National Cheng Chi University, Taiwan, working with Prof. Yan-Tsung Peng . I was a research assistants at Enriched Vision Applications Lab, National Chiao Tung University from September 2018 to September 2019, working with Prof. Wei-Chen (Walon) Chiu. I received my Bachelor degree in Mathematical Science from National Chengchi University in January, 2018.

My research interests are in the area of generative model, self/wakly-supervised learning, depth estimation, style transfer, computer vision, and deep learning. I am also interested in their creative application, such as East Asian Ideograph font design, deepfake for education. I believe AI is a leverage, augmenting human ability not only in monotonous tasks but also in content creation.

My personal interests are Typography, Film Photography (check out my instagram @ishengfang), Baseball, Strength and Conditioning Training.

Publications

  • Camera Settings as Tokens: Modeling Photography on Latent Diffusion Models

    • I-Sheng Fang, Yue-Hua Han, Jun-Cheng Chen
    • SIGGRAPH Asia 2024 (Conference Track).
    • [project page] [demo] [github(comming soon)]
  • Best of Both Sides: Integration of Absolute and Relative Depth Sensing Modalities Based on iToF and RGB Cameras

    • I-Sheng Fang, Wei-Chen Chiu, Yong-Sheng Chen
    • International Conference on Pattern Recognition (ICPR), 2024.
    • [paper] [supplementary materials] [[github(comming soon)]]
  • ES³Net: Accurate and Efficient Edge-Based Self-Supervised Stereo Matching Network

  • Single Image Reflection Removal based on Knowledge-distilling Content Disentanglement

    • Yan-Tsung Peng, Kai-Han Cheng, I-Sheng Fang, Wen-Yi Peng, Jr-Shian Wu
    • IEEE Signal Processing Letters(SPL) Feb. 2022
    • [IEEE Xplore][github]
  • Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer

Projects

Contact

email(personal): nf0126@gmail.com, ishengfang@icloud.com

email(NCTU): isfang.gdr09g@nctu.edu.tw

email(NYCU): isfang.en09@nycu.edu.tw

email(Academia Sinica): ishengfang@citi.sinica.edu.tw

Pinned Loading

  1. Self-Contained_Stylization Self-Contained_Stylization Public

    The source code of our WACV2020 paper "Self-Contained Stylization via Steganographyfor Reverse and Serial Style Transfer".

    Python 11 4

  2. SpectralNormalizationKeras SpectralNormalizationKeras Public

    Spectral Normalization for Keras Dense and Convolution Layers

    Jupyter Notebook 122 34

  3. Relativistic-average-GAN-Keras Relativistic-average-GAN-Keras Public

    The implementation of Relativistic average GAN with Keras

    Jupyter Notebook 39 12

  4. TypographyResearchCollection TypographyResearchCollection Public

    The research collection of typography

    119 14

  5. ES3Net ES3Net Public

    ES³Net: Accurate and Efficient Edge-Based Self-Supervised Stereo Matching Network (CVPRW2023)

    Python 23 1