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Gizem Unlu Hi! I am Gizem Unlu, PhD candidate at University College London (UCL) in the Computer Science Department. I am supervised by Prof. Gabriel Brostow. During my PhD, I focused on AI, Computer Vision, and Human Computer Interaction. My research is about 3D reconstruction and modeling and generative AI, specifically converting images into 3D models using deep learning. My work is also interactive; I am passionate about building AI-powered super tools to increase human productivity and creativity. |
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3D Modeling of Multi-Building Scenes from Prototyping to Vertex-Efficient Representations Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya, and Gabriel Brostow Under Review 2026 Preprint Paper |
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GroundUp: Rapid Sketch-Based 3D City Modeling Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya, and Gabriel Brostow European Conference on Computer Vision (ECCV) 2024 Project Page, Paper(Arxiv), Video, |
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Interactive Sketching of Mannequin Poses Gizem Esra Unlu, Mohamed Sayed, Gabriel Brostow International Conference on 3D Vision (3DV) 2022 Project Page, Paper, Video, Bibtex |
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Person Inpainting with Generative Adversarial Networks Gizem Esra Unlu European Conference on Computer Vision Workshop (ECCVW) 2018 Paper, |
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PhD Computer Vision (University College London) Supervised by Prof. Gabriel Brostow and Dr. Iasonas Kokkinos. |
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MSc Computer Engineering (Bogazici University) Thesis: "Image Deblurring from Sign Language Videos" Supervised by Prof. Lale Akarun. |
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Bachelor of Computer Engineering (Istanbul Technical University) (Double Major) Thesis: 3D Facial Reconstruction from RGB Images. Supervised by Prof. Hazim Ekenel. |
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Bachelor of Mathematics Engineering (Istanbul Technical University) (Double Major) Thesis: Filtering Techniques in Speckle Noise Reduction. Supervised by Dr. Burcu Tunga. |
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2025 |
Autodesk Research, Research Scientist Internship HCI & Visualization Team |
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2024 |
Naver Labs Europe, Research Scientist Internship 3D Human Understanding Team |
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October 2023 - June 2024 |
PhD Enrichment Scheme Placement award The Alan Turing Institute |
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September 2018 |
ECCV 2018 Looking at People Satellite Workshop Challenge Image Completion Competition 1st place Publication: Person Inpainting with Generative Adversarial Networks |
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University College London |
Machine Vision TA - 2020, 2021, 2022, 2023 |
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Bogazici University |
Computer Vision TA - 2019 |
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Languages |
Python, C++, MATLAB, Java/Javascript |
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Deep Learning Libraries |
Pytorch(primary), Tensorflow |
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Useful Tools |
Blender, Adobe Illustrator, Adobe After Effects |