Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ronald Poppe"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-16 (2018)
Abstract We introduce a novel spatiotemporal deformable part model for the localization of fine-grained human interactions of two persons in unsegmented videos. Our approach is the first to classify interactions and additionally provide the temporal
Externí odkaz:
https://doaj.org/article/ccb5c9b918784359baa3de41e043699e
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0215000 (2019)
We present a new signal for detecting deception: full body motion. Previous work on detecting deception from body movement has relied either on human judges or on specific gestures (such as fidgeting or gaze aversion) that are coded by humans. While
Externí odkaz:
https://doaj.org/article/82c223870e4a4bf78ef01177efe94c85
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6241 (2020)
One of the main principles of Deep Convolutional Neural Networks (CNNs) is the extraction of useful features through a hierarchy of kernels operations. The kernels are not explicitly tailored to address specific target classes but are rather optimize
Externí odkaz:
https://doaj.org/article/4e942af28b6748489e2c78f3bc027945
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Convolutional Neural Networks (CNNs) use pooling to decrease the size of activation maps. This process is crucial to increase the receptive fields and to reduce computational requirements of subsequent convolutions. An important feature of the poolin
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
For egocentric vision tasks such as action recognition, there is a relative scarcity of labeled data. This increases the risk of overfitting during training. In this paper, we address this issue by introducing a multitask learning scheme that employs
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Egocentric vision is an emerging field of computer vision that is characterized by the acquisition of images and video from the first person perspective. In this paper we address the challenge of egocentric human action recognition by utilizing the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::760525aad0bf08e4205bb9fb4d3c222a
http://arxiv.org/abs/1905.00742
http://arxiv.org/abs/1905.00742
Publikováno v:
PLoS One, 14(4). Public Library of Science
PLoS ONE, Vol 14, Iss 4, p e0215000 (2019)
van der Zee, S, Poppe, R, Taylor, P J & Anderson, R 2019, ' To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit ', PLoS ONE, vol. 14, no. 4, e0215000 . https://doi.org/10.1371/journal.pone.0215000
PLoS ONE, 14(4):e0215000. Public Library of Science
PLoS One (print), 14(4):e0215000. Public Library of Science
PLoS ONE, Vol 14, Iss 4, p e0215000 (2019)
van der Zee, S, Poppe, R, Taylor, P J & Anderson, R 2019, ' To freeze or not to freeze: A culture-sensitive motion capture approach to detecting deceit ', PLoS ONE, vol. 14, no. 4, e0215000 . https://doi.org/10.1371/journal.pone.0215000
PLoS ONE, 14(4):e0215000. Public Library of Science
PLoS One (print), 14(4):e0215000. Public Library of Science
We present a new signal for detecting deception: full body motion. Previous work on detecting deception from body movement has relied either on human judges or on specific gestures (such as fidgeting or gaze aversion) that are coded by humans. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4250afa15a94071df7dc693cc9f5d9c
https://dspace.library.uu.nl/handle/1874/381056
https://dspace.library.uu.nl/handle/1874/381056
Autor:
Ronald Poppe
Auf der Basis von SCM-Referenzmodellen der Automobil-, Konsumgüter- und Logistikindustrie entwickelt Ronald Poppe systematisch eine SCM-Kooperationsplattform als ganzheitliches und praktisch umsetzbares Gestaltungsmodell für die kooperative Koordin
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319496153
Intelligent Technologies for Interactive Entertainment
Intelligent Technologies for Interactive Entertainment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5aa9dfd9921ccf852b67df0d7631c5f
https://doi.org/10.1007/978-3-319-49616-0
https://doi.org/10.1007/978-3-319-49616-0