Zobrazeno 1 - 10
of 983
pro vyhledávání: '"Papantoniou P"'
Autor:
Mountzios G, Lampaki S, Koliou GA, Vozikis A, Kontogiorgos I, Papantoniou P, Koufaki MI, Res E, Boutis A, Christopoulou A, Pastelli N, Grivas A, Aravantinos G, Lalla E, Oikonomopoulos G, Koumarianou A, Spyratos D, Bafaloukos Snr D, Rigakos G, Papakotoulas P, Fountzilas G, Linardou H
Publikováno v:
Lung Cancer: Targets and Therapy, Vol Volume 12, Pp 93-102 (2021)
Giannis Mountzios,1 Sofia Lampaki,2 Georgia-Angeliki Koliou,3 Athanassios Vozikis,4 Ioannis Kontogiorgos,4 Panagiotis Papantoniou,4 Margarita-Ioanna Koufaki,4 Eleni Res,5 Anastasios Boutis,6 Athina Christopoulou,7 Nicoleta Pastelli,8 Anastasios Griva
Externí odkaz:
https://doaj.org/article/6a71618649294982a297524620b76668
English language is in the spotlight of the Natural Language Processing (NLP) community with other languages, like Greek, lagging behind in terms of offered methods, tools and resources. Due to the increasing interest in NLP, in this paper we try to
Externí odkaz:
http://arxiv.org/abs/2408.10962
Autor:
Gerogiannis, Dimitrios, Papantoniou, Foivos Paraperas, Potamias, Rolandos Alexandros, Lattas, Alexandros, Moschoglou, Stylianos, Ploumpis, Stylianos, Zafeiriou, Stefanos
The field of photorealistic 3D avatar reconstruction and generation has garnered significant attention in recent years; however, animating such avatars remains challenging. Recent advances in diffusion models have notably enhanced the capabilities of
Externí odkaz:
http://arxiv.org/abs/2403.17213
Autor:
Gouidis, Filippos, Papantoniou, Katerina, Patkos, Konstantinos Papoutsakis Theodore, Argyros, Antonis, Plexousakis, Dimitris
Domain-specific knowledge can significantly contribute to addressing a wide variety of vision tasks. However, the generation of such knowledge entails considerable human labor and time costs. This study investigates the potential of Large Language Mo
Externí odkaz:
http://arxiv.org/abs/2403.12151
Autor:
Papantoniou, Foivos Paraperas, Lattas, Alexandros, Moschoglou, Stylianos, Deng, Jiankang, Kainz, Bernhard, Zafeiriou, Stefanos
This paper presents Arc2Face, an identity-conditioned face foundation model, which, given the ArcFace embedding of a person, can generate diverse photo-realistic images with an unparalleled degree of face similarity than existing models. Despite prev
Externí odkaz:
http://arxiv.org/abs/2403.11641
Autor:
Luna, Cristina, Barrientos-Díez, Jorge, Esquer, Manuel, Guerra, Alba, López-Seoane, Marina, Colmenarejo, Iñaki, Gandía, Fernando, Kay, Steven, Cameron, Angus, Camañes, Carmen, Sard, Íñigo, Juárez, Danel, Orlandi, Alessandro, Angeletti, Federica, Papantoniou, Vassilios, Papantoniou, Ares, Makris, Spiros, rebele, Bernhard, Wedler, Armin, Reynolds, Jennifer, Landgraf, Markus
The European Moon Rover System (EMRS) Pre-Phase A activity is part of the European Exploration Envelope Programme (E3P) that seeks to develop a versatile surface mobility solution for future lunar missions. These missions include: the Polar Explorer
Externí odkaz:
http://arxiv.org/abs/2311.03098
Autor:
Luna, Cristina, Esquer, Manuel, Barrientos-Díez, Jorge, Guerra, Alba, Seoane, Marina L., Colmenarejo, Iñaki, Kay, Steven, Cameron, Angus, Camañes, Carmen, Sard, Íñigo, Juárez, Danel, Orlandi, Alessandro, Angeletti, Federica, Papatoniou, Vassilios, Papantoniou, Ares, Makris, Spiros, Wedler, Armin, Rebele, Bernhard, Reynolds, Jennifer, Landgraf, Markus
This document presents the study conducted during the European Moon Rover System Pre-Phase A project, in which we have developed a lunar rover system, with a modular approach, capable of carrying out different missions with different objectives. This
Externí odkaz:
http://arxiv.org/abs/2311.03136
Autor:
Zheng, Jiali, Jang, Youngkyoon, Papaioannou, Athanasios, Kampouris, Christos, Potamias, Rolandos Alexandros, Papantoniou, Foivos Paraperas, Galanakis, Efstathios, Leonardis, Ales, Zafeiriou, Stefanos
This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-captured human head dataset designed to support view synthesis academic challenges for human heads. The ILSH dataset is intended to facilitate diverse approaches,
Externí odkaz:
http://arxiv.org/abs/2310.03952
Autor:
Papantoniou, Foivos Paraperas, Lattas, Alexandros, Moschoglou, Stylianos, Zafeiriou, Stefanos
Following the remarkable success of diffusion models on image generation, recent works have also demonstrated their impressive ability to address a number of inverse problems in an unsupervised way, by properly constraining the sampling process based
Externí odkaz:
http://arxiv.org/abs/2305.06077
Autor:
Filntisis, Panagiotis P., Retsinas, George, Paraperas-Papantoniou, Foivos, Katsamanis, Athanasios, Roussos, Anastasios, Maragos, Petros
The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly focused on input coming from a single RGB image, overlooking the foll
Externí odkaz:
http://arxiv.org/abs/2207.11094