Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Muzammil Behzad"'
Autor:
Xiaobai Li, Shiyang Cheng, Yante Li, Muzammil Behzad, Jie Shen, Stefanos Zafeiriou, Maja Pantic, Guoying Zhao
Publikováno v:
IEEE Transactions on Affective Computing. :1-18
Publikováno v:
IEEE Signal Processing Letters. 28:1913-1917
In this paper, we propose MiT: a novel multi-view transformer model 1 for 3D/4D facial affect recognition. MiT incorporates patch and position embeddings from various patches of multi-views and uses them for learning various facial muscle movements t
With the rapid surge in technological advancements, an equal amount of investment in technology-embedded teaching has become vital to pace up with the ongoing educational needs. Distance education has evolved from the era of postal services to the us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85d6405e691835d7d932c17582611d13
https://doi.org/10.20944/preprints201803.0229.v2
https://doi.org/10.20944/preprints201803.0229.v2
In this paper, we present a sparsity-aware deep network for automatic 3D/4D facial expression recognition (FER). We first propose a novel augmentation method to combat the data limitation problem for deep learning, specifically given 3D/4D face meshe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34ba1167f3cdd246a95dcc5ab9607de
http://urn.fi/urn:nbn:fi-fe2021100649452
http://urn.fi/urn:nbn:fi-fe2021100649452
Publikováno v:
FG
We propose a novel landmarks-assisted collaborative end-to-end deep framework for automatic 4D FER. Using 4D face scan data, we calculate its various geometrical images, and afterwards use rank pooling to generate their dynamic images encapsulating i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::799a96c02d730edae223c92d0321cef3
http://urn.fi/urn:nbn:fi-fe202103036404
http://urn.fi/urn:nbn:fi-fe202103036404
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783662595398
In this paper, we propose a novel framework for performance optimization in Internet of Things (IoT)-based next-generation wireless sensor networks. In particular, a computationally-convenient system is presented to combat two major research problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16987ea41073454b4e08f9da4950441
https://doi.org/10.1007/978-3-662-59540-4_1
https://doi.org/10.1007/978-3-662-59540-4_1
Publikováno v:
AINA
In this paper, we combat the problem of performance optimization in wireless sensor networks of next-generation and beyond. Specifically, a novel framework is proposed to handle two major research issues. Firstly, we optimize the utilization of resou
With the rapid surge in technological advancements, an equal amount of investment in technology-embedded teaching has become vital to pace up with the ongoing educational needs. Distance education has evolved from the era of postal services to the us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f88b196490e960d89c6cb693d24e0022
Autor:
Muzammil Behzad, Yao Ge
Publikováno v:
AINA
In this paper, we present need-based clustering (NbC) with dynamic sink mobility (DSM-NbC) scheme for WSNs using a collaborative compressed sensing approach. The scheme incorporates dynamic sink mobility in a way that mobile sink moves from dense reg
Autor:
A. Sana, Umar Qasim, Muzammil Behzad, Mahnoor Khan, Nadeem Javaid, Z. Walayat, Zahoor Ali Khan
Publikováno v:
FNC/MobiSPC
In this paper, design and development of a ubiquitous tracking system is proposed, in which vehicles are tracked and controlled using the prevailing cellular technologies. The system contains a GPS receiver and a GSM modem interfaced with a microcont