Atakan Topaloğlu

I'm a second-year MSc student in Electrical Engineering and Information Technology at ETH Zürich, and a AI Engineer Intern at Flexion Robotics.
I completed my BSc at Koç University and studied at Robert College in Istanbul. Spent three years as an R&D Working Student at Siemens during my undergraduate studies, collaborating with a fantastic team.

For any inquiries, feel free to reach out to me via mail!

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Awards:

In 2024, I was awarded the IEEE Signal Processing Society Scholarship as the first ever recipient from a Turkish University. In 2025, the scholarship was renewed during my first year of MSc in ETH Zürich.
We were awarded the best graduation project award on our work on Single-Image-Super-Resolution Evaluation Methodologies under the supervision of Prof. Murat Tekalp.
I gratefully thank the Hisar Educational Foundation for supporting my undergraduate studies with their scholarship.

Publications

Thumbnail for OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting

OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting
(Oral Acceptance, Award Finalist)
Atakan Topaloglu, Kunyi Li, Michael Niemeyer, Nassir Navab, A. Murat Tekalp, Federico Tombari
Proc. of the IEEE Winter Conf. on Applications of Computer Vision (WACV), 2026
Project Page / Paper / Supplementary / Video / Code /

@InProceedings{topaloglu2025oraclegsgroundinggenerativepriors,
	author = {Atakan Topaloglu and Kunyi Li and Michael Niemeyer and Nassir Navab and A. Murat Tekalp and Federico Tombari},
	title = {OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting},
	booktitle = {Proc. of the IEEE Winter Conf. on Applications of Computer Vision (WACV)},
	year = {2026},
}

Thumbnail for Image-Difficulty-Aware Evaluation of Super-Resolution Models

Image-Difficulty-Aware Evaluation of Super-Resolution Models
Atakan Topaloglu*, Ahmet Bilican*, Cansu Korkmaz, A. Murat Tekalp
Proc. of the IEEE International Conf. on Image Processing Workshop (ICIPW), 2025
Paper / Video / Poster /

@InProceedings{topaloglu2025imagedifficultyawareevaluationsuperresolutionmodels,
	author = {Atakan Topaloglu and Ahmet Bilican and Cansu Korkmaz and A. Murat Tekalp},
	title = {Image-Difficulty-Aware Evaluation of Super-Resolution Models},
	booktitle = {Proc. of the IEEE International Conf. on Image Processing Workshop (ICIPW)},
	year = {2025},
}

* denotes equal contribution

Selected Projects

3D Semantic Segmentation with SAM2 Memory Bank

We noticed that GaGa (Lyu et al.) repeatedly labeled the same objects when revisiting regions, especially textureless regions, such as walls, failing to maintain consistency across views. To address this, we leveraged the existing SAM2 memory bank and used our dense images and pose-based image warping to project previous masks onto new viewpoints. This simple approach enforced mask consistency in indoor scenes with "loop closure", reducing duplicate labeling especially in textureless regions.

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Keyboard-Typing SO-101

Built an SO-101 robot arm that types on a real keyboard by looking at it. A camera and key detector locate keys, calibrated geometry estimates their 3D positions, and the arm uses inverse kinematics to hover, recheck, and press each key. Built on LeRobot with Atakan Topaloglu, Pelin Kincir, Samuel Sutanto, and Arda Cinar Demirtas.

Project Page

Building Information Modelling (BIM) PoC on CPU

Developed a proof-of-concept for a Building Information Modeling viewer designed to run efficiently on consumer-grade hardware. This demonstration runs smoothly on an 8th Gen Intel i5 CPU (6 cores, 8 GB RAM, 2.8 GHz) with no dedicated GPU.

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