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maria parelli mary parelli 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 email scholar twitter github research i m interested in computer vision deep learning and generative ai 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 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 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 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 interpretable visual question answering via reasoning supervision maria parelli dimitrios mallis markos diomataris vassilis pitsikalis icip 2023 paper spatio temporal graph convolutional networks for continuous sign language recognition maria parelli katerina papadimitriou gerasimos potamianos georgios pavlakos petros maragos icassp 2022 paper 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