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mikonvergence/README.md

My name is Mikolaj Czerkawski, I am a Research Fellow at the European Space Agency.

My research interests involve computer vision, signal processing, and machine learning.

A recurring theme in my works is the context of learning in data-limited settings. The topics I tend to deal with include:

  • 🍱 Multi-Modal Learning
  • 🎨 Generative Models
  • 🖼 Image Synthesis and Manipulation
  • 🔬 Image Super-Resolution
  • 🌆➡🌃Image-to-Image Translation
  • 🔎 Model Robustness Assessment
  • 🛰 Computer Vision for Remote Sensing Applications
  • 🔊 Computer Vision for Radar Signal Processing

My research involves applying computer vision techniques to real-world applications where (i) the datasets are small or (ii) high risk of poor generalization exists. So far, this has primarily been done with short-range radar data and with satellite imagery.

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  1. DiffusionFastForward DiffusionFastForward Public

    DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

    Jupyter Notebook 605 55

  2. ControlNetInpaint ControlNetInpaint Public

    Inpaint images with ControlNet

    Jupyter Notebook 344 29

  3. strath-ai/SatelliteCloudGenerator strath-ai/SatelliteCloudGenerator Public

    A PyTorch-based tool to generate clouds for satellite images.

    Jupyter Notebook 111 8

  4. ESA-PhiLab/Major-TOM ESA-PhiLab/Major-TOM Public

    Expandable Datasets for Earth Observation

    Jupyter Notebook 148 11

  5. strath-ai/satellite-cloud-removal-dip strath-ai/satellite-cloud-removal-dip Public

    Satellite cloud removal with Deep Image Prior.

    Jupyter Notebook 64 9

  6. strath-ai/neural-knitworks strath-ai/neural-knitworks Public

    Source code for "Neural Knitworks: Patched neural implicit representation networks"

    Python 9 2