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✋ Introduce ✋

Hi there, Thank you for visiting my GitHub page!
My name is Taehoon Kim from South Korea 🇰🇷.
I'm interested in Computer Vision & Pattern Recognition.
If you want to contact me, Please leave me a message.


📓 Research Interests

  • Self-Supervised Learning
  • Video Recognition
  • Domain Adaptation Object Detection

  • đŸ’ģ Main Language

    📚 Library


    📊 Status

    Kimmily's GitHub stats

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    ℹī¸ Information

           


    😄 Contact Me! 😄

       

    Taehoon Kimmily's Projects

    cr-da-det icon cr-da-det

    The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)

    cvpr-2021-paper-statistics icon cvpr-2021-paper-statistics

    Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

    everypixelmatters icon everypixelmatters

    Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

    fairscale icon fairscale

    PyTorch extensions for high performance and large scale training.

    jigsawpuzzlepytorch icon jigsawpuzzlepytorch

    Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

    laneatt icon laneatt

    Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

    openmapflow icon openmapflow

    Rapid map creation with machine learning and earth observation data.

    productive-box icon productive-box

    Are you an early 🐤 or a night đŸĻ‰? Let's check out in gist

    sesemi icon sesemi

    semi-supervised image classification with self-supervision (Keras+TensorFlow)

    siamese-triplet icon siamese-triplet

    Siamese and triplet networks with online pair/triplet mining in PyTorch

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