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

🎨 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

Pinned Loading

Public

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Jupyter Notebook 153 29

Public

A list of Precipitation Nowcasting papers and related resources.

Avatar-Net_Pytorch

Public

PyTorch implementation of "Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration"

Jupyter Notebook 40 5

Public

PyTorch implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution"

Python 43 12

class_activation_map

Public

PyTorch implementation of "Learning Deep Features for Discriminative Localization"

Python 30 6

Public

Helmet Detector based on the CenterNet.

Python 11 1