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  3. Ivan Skorokhodov

Ivan Skorokhodov

About Ivan Skorokhodov

Ivan Skorokhodov

  • Ph.D. Student, Computer Science

Deep learning Computer Vision generative models

Ivan Skorokhodov is a Ph.D. candidate in the Computer Science Program under the supervision of Professor Peter Wonka at Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST). His research interests include such areas of deep learning as generative models, hypernetworks and neural rendering. Ivan Skorokhodov has obtained his Ph.D degree and graduated in March 2023. Education and Early Career Ivan obtained his bachelor's degree in Management from the Moscow Engineering Physics Institute in 2014. He continued his studies there and received his master's degree

Events

Presented Events

Feb 12 - Feb 18, 2023

  • Generative Models for Neural Fields

    Ivan Skorokhodov, Ph.D. Student, Computer Science
    Feb 15, 20:10 - 22:00

    B1 L2 R2202

    Deep generative models

    In computer vision, generative AI models are typically built for images, videos, and 3D objects. Recently, there has emerged a paradigm of neural fields, which unifies the representations of such types of data by parametrizing them via neural networks. In this thesis, we develop generative models for images, videos, and 3D scenes which treat the underlying data in such a form and explore the benefits which such a perspective provides.

Related Sites

  • Peter Wonka Research Group (P-Wonka)
  • Computer Vision- Core Artificial Intelligence Research (Vision-CAIR)
  • Computer Science (CS)

Related Content

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Related Links

  • Ivan Skorokhodov's personal website

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