Mehmet Onurcan Kaya Profile

Hey, I'm M. Onurcan Kaya

You can call me Onur

I am a PhD student in Computer Science at the Technical University of Denmark (DTU), researching data-centric multimodal learning, test-time scaling, and test-time compute. I am advised by Dim Papadopoulos and Desmond Elliott.

My current research focuses on developing methods that improve model performance through adaptive computation at test time, particularly in multimodal learning scenarios.

Before starting my PhD, I completed my MSc focusing on deep generative models for inverse problems under the guidance of Figen S. Oktem. I also worked as a Deep Learning and Computer Vision Engineer at Kuartis, developing perception systems for surveillance and autonomous vehicles.


Publications

Efficient Test-Time Scaling for Small Vision-Language Models

Efficient Test-Time Scaling for Small Vision-Language Models

Arxiv Preprint
WildLight real-world relighting dataset

WildLight: A Real-World Dataset and Benchmark for Single-Image Relighting

ICCVW 2025
AutoQ-VIS video instance segmentation

AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment

ICCVW 2025 - Oral Presentation
Kaixuan Lu, M. Onurcan Kaya, Dim P. Papadopoulos

POEM: Precise Object-Level Editing via MLLM control

SCIA 2025

Instruction-Guided Precise Image Editing Using Multimodal LLMs

CVPRW 2025
prNet data-driven phase retrieval

prNet: Data-Driven Phase Retrieval via Stochastic Refinement

Arxiv Preprint
M. Onurcan Kaya, Figen S. Oktem
prNet efficient phase retrieval

prNet: Efficient and Robust Phase Retrieval via Stochastic Refinement

IEEE MLSP 2025 - Oral Presentation
M. Onurcan Kaya, Figen S. Oktem
I2I-PR deep iterative refinement

I2I-PR: Deep Iterative Refinement for Phase Retrieval using Image-to-Image Diffusion Models

Arxiv Preprint
M. Onurcan Kaya, Figen S. Oktem
I2I-PR data-driven phase retrieval

I2I-PR: Data-Driven Phase Retrieval Using Image-to-Image Diffusion Models

EUSIPCO 2025 - Oral Presentation
M. Onurcan Kaya, Figen S. Oktem
DDRM-PR Fourier phase retrieval

DDRM-PR: Fourier Phase Retrieval Using Denoising Diffusion Restoration Models

Applied Optics 2025
M. Onurcan Kaya, Figen S. Oktem