Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Theocharis Chatzis"'
Autor:
Achilleas Blekos, Konstantinos Chatzis, Martha Kotaidou, Theocharis Chatzis, Vassilios Solachidis, Dimitrios Konstantinidis, Kosmas Dimitropoulos
Publikováno v:
Agronomy, Vol 13, Iss 8, p 1995 (2023)
Grape maturity estimation is vital in precise agriculture as it enables informed decision making for disease control, harvest timing, grape quality, and quantity assurance. Despite its importance, there are few large publicly available datasets that
Externí odkaz:
https://doaj.org/article/9d8637e256ab45fca5104d467e097be8
Publikováno v:
Sensors, Vol 22, Iss 16, p 6051 (2022)
Ergonomic risk assessment is vital for identifying work-related human postures that can be detrimental to the health of a worker. Traditionally, ergonomic risks are reported by human experts through time-consuming and error-prone procedures; however,
Externí odkaz:
https://doaj.org/article/178ec55b37f24fe3aea79cc6c4a437b9
Autor:
Theocharis Chatzis, Andreas Stergioulas, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6850 (2020)
The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its significance in several applications that require human-computer interaction (HCI). The utilization of technological advances, such as cost-efficient depth
Externí odkaz:
https://doaj.org/article/94ba3b736c4041dca9ae2b405f495edf
Publikováno v:
Sensors; Volume 22; Issue 16; Pages: 6051
Ergonomic risk assessment is vital for identifying work-related human postures that can be detrimental to the health of a worker. Traditionally, ergonomic risks are reported by human experts through time-consuming and error-prone procedures; however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::980c0c36a579775d3d313956dbb2c0e9
https://pubmed.ncbi.nlm.nih.gov/36015812
https://pubmed.ncbi.nlm.nih.gov/36015812
Autor:
Thomas SOTIROPOULOS, Antonios VOULGARAKIS, Dimitrios TRIANTAFYLLOU, Ioannis MANTHOS, Maria DIMOU, Theocharis CHATZISTATHIS, Virginia SARROPOULOU, Areti BOUNTLA
Publikováno v:
Notulae Botanicae Horti Agrobotanici Cluj-Napoca, Vol 52, Iss 3 (2024)
The aim of this research was to investigate the influence of a foliar fertilization program, consisted of the BUD 14 nitrogen-calcium commercial formulation (N: 14% w/w, CaO: 5.5% w/w) as a biostimulant, on bud development percentage, flowering rate,
Externí odkaz:
https://doaj.org/article/411595ff19f242ab9ea6a8e4073a4891
Autor:
Kosmas Dimitropoulos, Andreas Stergioulas, Dimitrios Konstantinidis, Theocharis Chatzis, Petros Daras
Publikováno v:
CVPR Workshops
In this paper, we propose a novel multi-stage deep learning methodology to accurately tackle the problem of hand pose estimation. More specifically, we initially propose a disentanglement stage to differentiate the significant pose-specific informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1289fb2f1a5dc0bed95a3efae70a9303
https://doi.org/10.1109/cvprw53098.2021.00189
https://doi.org/10.1109/cvprw53098.2021.00189
Autor:
Kosmas Dimitropoulos, Petros Daras, Andreas Stergioulas, Dimitrios Konstantinidis, Theocharis Chatzis
Publikováno v:
Applied Sciences, Vol 10, Iss 6850, p 6850 (2020)
Applied Sciences
Volume 10
Issue 19
Applied Sciences
Volume 10
Issue 19
The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its significance in several applications that require human-computer interaction (HCI). The utilization of technological advances, such as cost-efficient depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9fe0330809dabf59f79dc50feaf4a48
https://www.mdpi.com/2076-3417/10/19/6850
https://www.mdpi.com/2076-3417/10/19/6850
Autor:
Petros Daras, Theocharis Chatzis, Vassilios Solachidis, Thomas Theodoridis, Kosmas Dimitropoulos
Publikováno v:
CVPR Workshops
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop
In this paper, we propose a novel cross-modal variational alignment method in order to process and relate information across different modalities. The proposed approach consists of two variational autoencoder (VAE) networks which generate and model t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b9104b374af56a5f0ad8a47b7debdb7
Autor:
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis, Andreas Stergioulas, Georgios Th. Papadopoulos, Vassia Zacharopoulou, George J. Xydopoulos, Klimnis Atzakas, Dimitris Papazachariou, Petros Daras
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural network methods in this field, a thorough evaluation on multiple publicly av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6693adb617aa82a7b1eb59d6fe83073
Autor:
Theocharis Chatzistathis, Konstantinos Zoukidis, Christos Vasilikiotis, Antonios Apostolidis, Anastasia E. Giannakoula, Areti Bountla, Apostolos Chatziathanasiadis
Publikováno v:
Horticulturae, Vol 10, Iss 5, p 449 (2024)
A greenhouse experiment was realized to investigate the effects of plant-growth-promoting rhizobacteria (PGPR) and arbuscular mycorrhizal fungi (AMF) on soil quality and the growth, nutrient uptake, and physiological performance of Batavia lettuce (L
Externí odkaz:
https://doaj.org/article/7c6a7ff6635f43e4af4465435cb23046