Gizem Esra Unlu


Hi! I am Gizem Unlu, a final year PhD student at University College London (UCL) in the Computer Science Department. I am supervised by Prof. Gabriel Brostow.

I work on 3D computer vision and interactive deep learning techniques. Specifically, my research centers around 3D reconstruction, modeling, and generative AI.

Publications

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,

Interactive Sketching of Mannequin Poses

Gizem Esra Unlu, Mohamed Sayed, Gabriel Brostow

International Conference on 3D Vision (3DV) 2022

Project Page, Paper, Video, Bibtex

Person Inpainting with Generative Adversarial Networks

Gizem Esra Unlu

European Conference on Computer Vision Workshop (ECCVW) 2018

Paper,
Education

February 2020 -

continuing

PhD Student in Computer Vision (University College London)

Supervised by Prof. Gabriel Brostow and Dr. Iasonas Kokkinos.

September 2017 -

January 2020

MSc Computer Engineering (Bogazici University)

Thesis: "Image Deblurring from Sign Language Videos" Supervised by Prof. Lale Akarun.

September 2012 -

June 2017

Bachelor of Computer Engineering (Istanbul Technical University) (Double Major)

Thesis: 3D Facial Reconstruction from RGB Images. Supervised by Prof. Hazim Ekenel.

September 2012 -

June 2017

Bachelor of Mathematics Engineering (Istanbul Technical University)

Thesis: Filtering Techniques in Speckle Noise Reduction. Supervised by Dr. Burcu Tunga.

Work Experience

2014-2016,
Istanbul

Mercedes-Benz Turkey, IT Intern

Worked for IT SAP&Rollout Services

Awards

October 2023 -

June 2024

PhD Enrichment Scheme Placement award

The Alan Turing Institute

September 2018

ECCV 2018 Looking at People Satellite Workshop Challenge

Image Completion Competition 1st place

Publication: Person Inpainting with Generative Adversarial Networks

Teaching

University College London

Machine Vision TA - 2020, 2021, 2022, 2023

Bogazici University

Computer Vision TA - 2019

Skills

Languages

Python, C++, MATLAB, Java/Javascript

Deep Learning Libraries

Pytorch(primary), Tensorflow

Useful Tools

Blender, Adobe Illustrator, Adobe After Effects