Minseong Kim

⚒️ Technical Skills

• 🐍 Languages: Python, SQL, Bash
• 📚 Frameworks & Libraries: PyTorch, TensorFlow, LibTorch, OpenCV, FastAPI
• ☁️ Cloud & DevOps: GCP, 🐳 Docker, Git
• 🗄️ Databases: MySQL, SQLite3
• 🤖 ML/DL: Detection, Recognition, Optimization (Pruning, ONNX, TensorRT), Triton, W&B
• 🔄 Data Engineering: ETL Pipeline Design, Data Lake Architecture

📚 Implementations

• 🎨 Image Style Transfer

  • CNN-based Style Transfer
    Nueral Style (CVPR 2016) Code · Perceptual Loss (ECCV 2016) Code · Learned Representation (ICLR 2017) Code

  • Arbitrary Style Transfer
    AdaIN (ICCV 2017) Code · Avatar-Net (CVPR 2018) Code

  • Efficiency Improvements
    Uncorrelated Encoding (Neural Networks 2021) Code · Compact Transfer (Sensors 2022) Code

• 🕵️ Object Detection

  • Anchor-free
    Objects as Points (arXiv 2019) Code

  • Transformer-based
    DETR & variants (Conditional, DAB, DN, DINO) Code

• 🧑‍🏫 Semi-Supervised Learning

  • Consistency-based
    FixMatch (NeurIPS 2020) Code

  • Curriculum Pseudo-Labeling
    FlexMatch (NeurIPS 2021) Code

• ✂️ Model Pruning

  • Filter Pruning
    Filter Puring (ICLR 2017) Code
• 🗣 NLP

  • Transformers
    Attention Is All You Need (NeurIPS 2017) Code

  • Large Language Models
    GPT Code

• 🔧 Miscellaneous

  • Weakly-Supervised Localization
    CAM (CVPR 2016) Code

  • Knowledge Distillation
    Knowledge Distillation (NeurIPS 2014 Workshop) Code

  • Side Proejcts
    🎾 Hawk-Eye Code