Alexandros Delitzas - Alex Delitzas

Alexandros Delitzas (Alex Delitzas)

I am a first-year PhD student at ETH Zurich and Max Planck Institute for Informatics, advised by Prof. Marc Pollefeys (ETH) and Prof. Christian Theobalt (MPI), and supported by the Max Planck ETH Center for Learning Systems (CLS). I am interested in 3D Computer Vision, particularly in the areas of 3D/4D scene understanding and reconstruction.

Previously, I obtained my MSc in Computer Science at ETH Zurich, specializing in machine learning and computer vision. During my studies, I conducted research projects with the Computer Vision and Geometry Group led by Prof. Marc Pollefeys, the Data Analytics Lab led by Prof. Thomas Hofmann and the Computer Vision Lab led by Prof. Luc Van Gool.

Prior to that, I was an undergraduate student in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, where I worked with Prof. Andreas Symeonidis and Prof. Panagiotis Petrantonakis.

For any inquiries, feel free to reach out!

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Publications

* indicates equal contribution

Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces (Highlight)
Chenyangguang Zhang, Alexandros Delitzas, Fangjinhua Wang, Ruida Zhang, Xiangyang Ji, Marc Pollefeys, Francis Engelmann
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2025
Project Page / Paper /

@InProceedings{zhang2025openfungraph, 
	author = {Chenyangguang Zhang and Alexandros Delitzas and Fangjinhua Wang and Ruida Zhang and Xiangyang Ji and Marc Pollefeys and Francis Engelmann}, 
	title = {Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces}, 
	booktitle = {IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)}, 
	year = {2025}, 
}

Search3D: Hierarchical Open-Vocabulary 3D Segmentation
Ayca Takmaz, Alexandros Delitzas, Robert Sumner, Francis Engelmann, Johanna Wald, Federico Tombari
IEEE Robotics and Automation Letters (RA-L), 2025
Project Page / Paper /

@InProceedings{takmaz2025search3d, 
	author = {Ayca Takmaz and Alexandros Delitzas and Robert Sumner and Francis Engelmann and Johanna Wald and Federico Tombari}, 
	title = {Search3D: Hierarchical Open-Vocabulary 3D Segmentation}, 
	booktitle = {IEEE Robotics and Automation Letters (RA-L)}, 
	year = {2025}, 
}

SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes (Oral Presentation)
Alexandros Delitzas, Ayca Takmaz, Federico Tombari, Robert Sumner, Marc Pollefeys, Francis Engelmann
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024
Project Page / Paper /

@InProceedings{delitzas2023scenefun3d, 
	author = {Alexandros Delitzas and Ayca Takmaz and Federico Tombari and Robert Sumner and Marc Pollefeys and Francis Engelmann}, 
	title = {SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes}, 
	booktitle = {IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)}, 
	year = {2024}, 
}

Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes (Oral Presentation)
Alexandros Delitzas*, Maria Parelli*, Nikolas Hars, Georgios Vlassis, Sotirios Anagnostidis, Gregor Bachmann, Thomas Hofmann
Proc. of the British Machine Vision Conference (BMVC), 2023
Project Page / Paper /

@InProceedings{delitzas2023multi, 
	author = {Alexandros Delitzas and Maria Parelli and Nikolas Hars and Georgios Vlassis and Sotirios Anagnostidis and Gregor Bachmann and Thomas Hofmann}, 
	title = {Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes}, 
	booktitle = {Proc. of the British Machine Vision Conference (BMVC)}, 
	year = {2023}, 
}

CLIP-Guided Vision-Language Pre-Training for Question Answering in 3D Scenes
Maria Parelli*, Alexandros Delitzas*, Nikolas Hars, Georgios Vlassis, Sotirios Anagnostidis, Gregor Bachmann, Thomas Hofmann
Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Project Page / Paper / Supplemental / Poster / Code /

@InProceedings{Parelli_2023_CVPR, 
	author = {Maria Parelli and Alexandros Delitzas and Nikolas Hars and Georgios Vlassis and Sotirios Anagnostidis and Gregor Bachmann and Thomas Hofmann}, 
	title = {CLIP-Guided Vision-Language Pre-Training for Question Answering in 3D Scenes}, 
	booktitle = {Proc. of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, 
	year = {2023}, 
}

Calista: A deep learning-based system for understanding and evaluating website aesthetics
Alexandros Delitzas, Kyriakos Chatzidimitriou, Andreas Symeonidis
International Journal of Human-Computer Studies (IJHCS), 2023
Project Page / Paper / Code /

@InProceedings{DELITZAS2023103019, 
	author = {Alexandros Delitzas and Kyriakos Chatzidimitriou and Andreas Symeonidis}, 
	title = {Calista: A deep learning-based system for understanding and evaluating website aesthetics}, 
	booktitle = {International Journal of Human-Computer Studies (IJHCS)}, 
	year = {2023}, 
}

Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders
Christodoulos Kechris*, Alexandros Delitzas*, Vasileios Matsoukas*, Panagiotis Petrantonakis
International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Project Page / Paper / Code /

@InProceedings{9630585, 
	author = {Christodoulos Kechris and Alexandros Delitzas and Vasileios Matsoukas and Panagiotis Petrantonakis}, 
	title = {Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders}, 
	booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)}, 
	year = {2021}, 
}

Alexandros Delitzas (Alex Delitzas)

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* indicates equal contribution

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