Fazilet Gokbudak

Final-year PhD Student at University of Cambridge

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SS15,

William Gates Building

Cambridge, UK

Hello, welcome to my website! I am a computer science PhD student working on computer vision/graphics problems. My research focuses on generalizable ML approaches for appearance manipulations. My experience in the field includes but not limited to conditional image generation (my current project, Amazon internship), neural implicit representations (HyperBRDF), image-to-image translation (Photo retouching), and classification (Blackgrass).

I hold an MSc in signal processing and communications from the University of Edinburgh and a BSc in electrical and electronics engineering from Bogazici University, Turkey. In my 2nd year, I spent the summer interning at Amazon as an applied scientist.

In my spare time, I actively volunteer for Women@CL events, enjoy photography and swimming.

I am currently writing up my thesis and also looking for exciting opportunities outside academia. If you have something to discuss, please feel free to reach out to me via email!

news

Sep 28, 2024 My work “Text-guided Transient Attribute Transfer” is accepted at Women in Machine Learning (WiML) Workshop at NeurIPS’24🥳.
Sep 25, 2024 I will be reviewing for NeurIPS’24 Women in Machine Learning (WiML) Workshop ✍️.
Jul 13, 2024 I will be reviewing for ECCV’24 - Women in Computer Vision (WiCV) Workshop ✍️.
Jul 13, 2024 Attended the Hackathon on Generative Modeling in Edinburgh. Our team won the 3rd place for our sampling strategy in zero-shot diffusion-based image restoration.
Jul 01, 2024 Our HyperBRDF paper got accepted to ECCV’24🥳.

selected publications

  1. NeurIPS-WiML
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    Text-guided Transient Attribute Transfer
    Fazilet Gokbudak, and Cengiz Oztireli
    NeurIPS’24 Women in Machine Learning Workshop, 2024
  2. ECCV
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    Hypernetworks for Generalizable BRDF Representation
    Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, and 3 more authors
    The 18th European Conference on Computer Vision ECCV, 2024
  3. CVMP
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    One-shot Detail Retouching with Patch Space Neural Transformation Blending
    Fazilet Gokbudak, and A. Cengiz Oztireli
    In Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production, London, United Kingdom, 2023