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nikitadurasov/README.md

Hey folks! 🌱

I'm Nikita Durasov, a PhD candidate at EPFL specializing in computer vision, machine learning, and uncertainty estimation.

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  • 🔭 Research: Published in CVPR, ICCV, ICML on topics like neural network robustness, uncertainty, and computer vision.
  • 🌱 Industry Experience: Collaborated with NVIDIA, Apple, Amazon, and Samsung on AI and ML solutions.
  • 🎓 Education: PhD in Computer Science (EPFL), BS in Applied Mathematics and Physics (MIPT).

🛠️ Tools & Technologies

Python PyTorch TensorFlow scikit-learn Lightning OpenCV HuggingFace

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  1. masksembles masksembles Public

    Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

    Python 100 15

  2. Cross-Domain-Crowd-Counting Cross-Domain-Crowd-Counting Public

    Forked from weizheliu/Cross-Domain-Crowd-Counting

    Code for the paper "Leveraging Self-Supervision for Cross-Domain Crowd Counting"(CVPR 2022)

    Python

  3. cvlab-epfl/iter_unc cvlab-epfl/iter_unc Public

    Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)

    Jupyter Notebook 15 1

  4. cvlab-epfl/zigzag cvlab-epfl/zigzag Public

    Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)

    Jupyter Notebook 13 2