Doğa Yılmaz

I am a PhD student in the VECG group at University College London (UCL), advised by Assoc. Prof. He Wang and Prof. Tobias Ritschel. My research focuses on computer graphics and computational physics, particularly advancing physics-informed neural rendering techniques.

Education

PhD in Computer Science
University College London
Department of Computer Science
Supervisor: Assoc. Prof. He Wang
October 2024 - Present

MSc in Artificial Intelligence
Özyeğin University
Graduate School of Science and Engineering
Supervisor: Assoc. Prof. Furkan Kıraç
Thesis: Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
February 2021 - October 2023

BSc in Computer Science
Özyeğin University
Department of Computer Science
Supervisor: Assoc. Prof. Furkan Kıraç
Thesis: Deep Residual Autoencoder for Real Image Denoising
September 2016 - September 2020

Experience

Computer Vision Research Engineer
Fishency Innovation
Stavanger, Norway
Manager: Furkan Kıraç
August 2022 - January 2025

Publications

Role of Perceptually Guided Image Quality Metrics in Computer-Generated Holography
Doğa Yılmaz, Rafal Mantiuk, Kaan Akşit
SPIE Advances in Display Technologies XV, 2025

DeNIM: Deterministic Neural Illuminant Mapping for Efficient Auto-White Balance Correction
Furkan Kınlı, Doğa Yılmaz, Barış Özcan, Furkan Kıraç
IEEE ICCV Workshop on Resource Efficient Deep Learning for Computer Vision, 2023

Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
Doğa Yılmaz, Furkan Kıraç
Computers & Graphics, 115, 107-121

Modeling the Lighting in Scenes as Style for Auto White-Balance Correction
Furkan Kınlı, Doğa Yılmaz, Barış Özcan, Furkan Kıraç
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation
Doğa Yılmaz, Furkan Kınlı, Barış Özcan, Furkan Kıraç
ReScience C, 8(2), 2022, Presented at NeurIPS 2022 Journal Track