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pjh5672/README.md

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😄 Biography

I am a researcher in the field of machine learning with a focus on computer vision. My research interests include the foundations of algorithms and their real-world applications through machine learning and statistical pattern analysis.

I have a background in architectural engineering, having graduated from Pusan National University (PNU) and obtaining my MS in civil and environmental engineering from the Korea Advanced Institute of Science and Technology (KAIST). My master's thesis involved the use of computer vision and image processing techniques for defect detection. Since then, I have been deeply engaged in the field of artificial intelligence, constantly expanding my knowledge through work experience.

My professional experience began at Cafe24 Corp, where I developed computer vision-based web service solutions for the e-commerce market, such as image inpainting, interactive segmentation, dominant color analysis, and landmark detection. After then, I worked on vessel detection project for autonomous navigation system at Avikus.

Now, I am working on deep learning modeling and optimization for Neural Processing Unit(NPU) at SAPEON Korea Inc.

📃 Research Project

Date Task Type Research Title
Jun.2021~Mar.2023 Object Detection Development of vision based marine intelligent navigation assistant system
Nov.2020~May.2021 Landmark Detection Fashion product size-charting automation based on landmark detection
Jun.2020~Dec.2020 Color Quantization Dominant color extractor using K-means clustering
Nov.2019~Aug.2020 Object Segmentation Super-detail model object segmentation
Apr.2019~Dev.2019 Image Generation Real-time object removal and background restoration
Feb.2017~Aug.2018 Image Classification Development of micro-crack detection system in Flexible OLED using laser thermography
Aug.2016~Feb.2017 Image Processing Large-scale infrastructure monitoring and management using unmanned inspection units
Jul.2016~Jun.2017 Outlier Detection Development of automated non-destructive inspection system for damage detection in triplex adhesive layers

📧 Contact

Gmail Google Scholar Linkedin Tech Blog Curriculum Vitae

Pinned

  1. Classification Classification Public

    Training classification model for generating backbone

    Python 1

  2. YOLOv3 YOLOv3 Public

    YOLOv3 implementation using PyTorch

    Python 3

  3. YOLOv2 YOLOv2 Public

    YOLOv2 implementation using PyTorch

    Python 4

  4. YOLOv1 YOLOv1 Public

    YOLOv1 implementation using PyTorch

    Python 6 1

  5. Trainer-of-Detectors Trainer-of-Detectors Public

    Trainer-of-Detectors

    Jupyter Notebook 1

  6. Tester-of-Detectors Tester-of-Detectors Public

    Tester-of-Detectors

    Python