Maria Parelli

I am a Ph.D. student in the Autonomous Vision Group at the University of Tübingen, led by Prof. Andreas Geiger, as part of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). I am also co-supervised by Federico Tombari, Michael Niemeyer and Michael Oechsle from Google Zurich. My focus area is 3D generative modeling.

Prior to this, I completed my Master's in Data Science at ETH Zurich under the supervision of Prof. Otmar Hilliges. Earlier, I earned a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, where I worked with Prof. Petros Maragos. Before joining ETH, I worked as an ML Engineer/Researcher at Deeplab on interpretable vision-language understanding.

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Research

I'm interested in computer vision, deep learning and generative AI.

fast-texture 3D-LATTE: Latent Space 3D Editing from Textual Instructions
Maria Parelli, Michael Oechsle, Michael Niemeyer, Federico Tombari, Andreas Geiger
CVPR, 2026 &nbsp
project page / paper
fast-texture HOLD: Category-agnostic 3d reconstruction of interacting hands and objects from video
Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges
CVPR, 2024 &nbsp (Highlight)
project page / paper
fast-texture Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes
Alexandros Delitzas*, Maria Parelli*, Nikolas Hars, Georgios Vlassis, Sotirios Anagnostidis, Gregor Bachmann, Thomas Hofmann
BMVC, 2023 &nbsp (Oral Presentation)
project page / paper
fast-texture 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
CVPR Workshops, 2023
paper
fast-texture Interpretable visual question answering via reasoning supervision
Maria Parelli, Dimitrios Mallis, Markos Diomataris, Vassilis Pitsikalis
ICIP, 2023
paper
fast-texture Spatio-temporal graph convolutional networks for continuous sign language recognition
Maria Parelli, Katerina Papadimitriou, Gerasimos Potamianos, Georgios Pavlakos, Petros Maragos
ICASSP, 2022
paper
fast-texture Exploiting 3d hand pose estimation in deep learning-based sign language recognition from rgb videos
Maria Parelli, Katerina Papadimitriou, Gerasimos Potamianos, Georgios Pavlakos, Petros Maragos
ECCV Workshops, 2020
paper

Design and source code from Jon Barron's wesite