Alexandros Delitzas - Alex Delitzas

Alexandros Delitzas (Alex Delitzas)

I am an incoming 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 scene understanding and generative modelling.

Currently, I am a Computer Science MSc student at ETH Zurich specializing in Machine Learning. I am conducting my master thesis on 3D scene understanding supervised by Francis Engelmann and Prof. Marc Pollefeys. Furthermore, I conducted a research project in collaboration with the Data Analytics Lab, where I worked on the intersection of 2D/3D vision and natural language. In my semester thesis, I worked on diffusion models and 3D pose transfer supervised by Hao Tang, Prof. Radu Timofte and 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!

CV Mail Twitter Scholar Github

News

Apr. 2024: Our work SceneFun3D was accepted at CVPR '24 in Seattle as an oral presentation.
Dec. 2023: The second iteration of our Open-Vocabulary 3D Scene Understanding Workshop will be held in conjunction with CVPR '24 in Seattle.
Oct. 2023: Our work Multi-CLIP was accepted at BMVC '23 in Aberdeen as an oral presentation.

Publications

* indicates equal contribution

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}, 
}

Invited talks

Open Data in the fight against COVID-19 (Keynote)
Electrical and Computer Engineering Student Conference of Greece (ECESCON 12), 2021
Slides

Homepage Template

This webpage is based on the template provided by Michael Niemeyer. I customized it to support a news section, equal contribution indications in the publications section and google analytics. Feel free to use this version or the original one!