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johnnysclai/README.md

Hi👋

I received my M.Phil. and B.Eng. degrees from The Hong Kong Polytechnic University at 2022 and 2016, respectively. I was a Research Assistant at the same university during July 2020 to March 2021.

I am currently a full-time Computer Vision Engineer. My interests include artificial intelligence, computer vision, image processing, deep learning, machine learning, data science, face recognition, and object detection/tracking. You can know more about me by visiting my personal website and Linkedin.

My favour tech stacks🧑‍💻

  • Programming Language: Python, C++
  • Machine/Deep Learning: PyTorch, MXNet, Tensorflow, ncnn, Scikit-learn
  • Computer Vision: OpenCV, Kornia, Scikit-image
  • Data Science: Pandas, Numpy, Matplotlib, AWS DynamoDB, MongoDB, PostgreSQL, Google Data Studio
  • IDE: Visual Studio Code, PyCharm, Android Studio
  • Cloud Service: AWS
  • Serverless Application: AWS Lambda, AWS Chalice, AWS SAM
  • Version Control: git
  • CI/CD: CircleCI

Pinned Loading

  1. SR_LRFR SR_LRFR Public

    Low-Resolution Face Recognition Based on Identity-Preserved Face Hallucination (2019, ICIP)

    Python 18 4

  2. PoreNet PoreNet Public

    High-resolution Face Recognition via Deep Pore-feature Matching (2019, ICIP)

    Jupyter Notebook 3

  3. Deep-Face-Recognition Deep-Face-Recognition Public

    1

  4. Deep-Siamese-network-for-LRFR Deep-Siamese-network-for-LRFR Public

    Deep Siamese network for low-resolution face recognition (2021, APSIPA ASC)

    Python 4