Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Petros Koutras"'
Autor:
Lydia Liapi, Elpida Manoudi, Maria Revelou, Katerina Christodoulou, Petros Koutras, Petros Maragos, Argiro Vatakis
Publikováno v:
Acta Psychologica, Vol 244, Iss , Pp 104206- (2024)
Filmmakers and editors have empirically developed techniques to ensure the spatiotemporal continuity of a film's narration. In terms of time, editing techniques (e.g., elliptical, overlapping, or cut minimization) allow for the manipulation of the pe
Externí odkaz:
https://doaj.org/article/b10c5279330b428690fd0304f738e9e0
Autor:
George Moustris, Nikolaos Kardaris, Antigoni Tsiami, Georgia Chalvatzaki, Petros Koutras, Athanasios Dometios, Paris Oikonomou, Costas Tzafestas, Petros Maragos, Eleni Efthimiou, Xanthi Papageorgiou, Stavroula-Evita Fotinea, Yiannis Koumpouros, Anna Vacalopoulou, Effie Papageorgiou, Alexandra Karavasili, Foteini Koureta, Dimitris Dimou, Alexandros Nikolakakis, Konstantinos Karaiskos, Panagiotis Mavridis
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Robots can play a significant role as assistive devices for people with movement impairment and mild cognitive deficit. In this paper we present an overview of the lightweight i-Walk intelligent robotic rollator, which offers cognitive and mobility a
Externí odkaz:
https://doaj.org/article/363b783a3dcb4e7dbc2906b1d5f007e6
Autor:
Athanasia Zlatintsi, Petros Koutras, Georgios Evangelopoulos, Nikolaos Malandrakis, Niki Efthymiou, Katerina Pastra, Alexandros Potamianos, Petros Maragos
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-24 (2017)
Abstract Research related to computational modeling for machine-based understanding requires ground truth data for training, content analysis, and evaluation. In this paper, we present a multimodal video database, namely COGNIMUSE, annotated with sen
Externí odkaz:
https://doaj.org/article/8227720ba6b24450ae51c338d8c28908
Autor:
Gerasimos Potamianos, Petros Koutras, Petros Maragos, Niki Efthymiou, Panagiotis Paraskevas Filntisis
Publikováno v:
IEEE Robotics and Automation Letters. 4:4011-4018
In this paper we address the problem of multi-cue affect recognition in challenging scenarios such as child-robot interaction. Towards this goal we propose a method for automatic recognition of affect that leverages body expressions alongside facial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc345c05b81df9b96430cd82fdabed8
https://doi.org/10.1109/lra.2019.2930434
https://doi.org/10.1109/lra.2019.2930434
Publikováno v:
Signal Processing: Image Communication. 76:186-200
Human attention is highly influenced by multi-modal combinations of perceived sensory information and especially audiovisual information. Although systematic behavioral experiments have provided evidence that human attention is multi-modal, most bott
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2464de28563009e69f4a552507a87f8
https://doi.org/10.1016/j.image.2019.05.001
https://doi.org/10.1016/j.image.2019.05.001
Autor:
Yiannis Koumpouros, Paris Oikonomou, Athanasios Dometios, Anna Vacalopoulou, Nikolaos Kardaris, Eleni Efthimiou, Alexandros Nikolakakis, Stavroula-Evita Fotinea, Georgia Chalvatzaki, Xanthi S. Papageorgiou, Antigoni Tsiami, George P. Moustris, Petros Maragos, Konstantinos Karaiskos, Costas S. Tzafestas, Petros Koutras, Panagiotis Mavridis, Alexandra Karavasili
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030713553
HFR
HFR
Robotic rollators can play a significant role as assistive devices for people with impaired movement and mild cognitive deficit. This paper presents an overview of the i-Walk concept; an intelligent robotic rollator offering cognitive and ambulatory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::933e6f6dbee2a8861fe6b4f7aec32fa6
https://doi.org/10.1007/978-3-030-71356-0_3
https://doi.org/10.1007/978-3-030-71356-0_3
Autor:
Niki Efthymiou, Panagiotis P. Filntisis, Petros Koutras, Antigoni Tsiami, Jack Hadfield, Gerasimos Potamianos, Petros Maragos
In this paper we present an integrated robotic system capable of participating in and performing a wide range of educational and entertainment tasks, in collaboration with one or more children. The system, called ChildBot, features multimodal percept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1264081d32aa79598d70c5efc1287c5
Autor:
Isidoros Marougkas, Petros Maragos, Georgios Retsinas, Petros Koutras, Nikolaos Kardaris, Georgia Chalvatzaki
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030660956
ECCV Workshops (2)
ECCV Workshops (2)
We present a novel multi-attentional convolutional architecture to tackle the problem of real-time RGB-D 6D object pose tracking of single, known objects. Such a problem poses multiple challenges originating both from the objects’ nature and their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::201665bc839d5bdc75d3f97c2765ee23
https://doi.org/10.1007/978-3-030-66096-3_45
https://doi.org/10.1007/978-3-030-66096-3_45
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030668228
ECCV Workshops (4)
ECCV Workshops (4)
We present the i-Walk system, a novel framework for intelligent mobility assistance applications. The proposed system is capable of automatically understanding human activity, assessing mobility and rehabilitation progress, recognizing human intentio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::923c2ddd7049a10c1e36cf357a0e3bf4
https://doi.org/10.1007/978-3-030-66823-5_30
https://doi.org/10.1007/978-3-030-66823-5_30
Publikováno v:
ICCV Workshops
We find that most Scene Graph Generation approaches suffer from two limitations as they: 1) use generic attention mechanisms and dataset-specific statistics that supersede visual features and 2) treat "no interaction" as an extra, both noisy and domi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1479332c99df930443c9063930eed6c5
https://doi.org/10.1109/iccvw.2019.00218
https://doi.org/10.1109/iccvw.2019.00218