Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Yuk Ying Chung"'
Light field imaging can capture both the intensity information and the direction information of light rays. It naturally enables a six-degrees-of-freedom viewing experience and deep user engagement in virtual reality. Compared to 2D image assessment,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fe9b24c7d5e54aee5ec40c041989edc
http://arxiv.org/abs/2303.10961
http://arxiv.org/abs/2303.10961
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:1078-1091
Model drifting is one of the knotty problems that seriously restricts the accuracy of discriminative trackers in visual tracking. Most existing works usually focus on improving the robustness of the target appearance model. However, they are prone to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2068a36c5552c1d9bf1a92e6badef01c
https://doi.org/10.1109/tcsvt.2019.2902883
https://doi.org/10.1109/tcsvt.2019.2902883
Publikováno v:
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c860903e6057783a60215d84a8bfb1
https://doi.org/10.1109/vrw55335.2022.00274
https://doi.org/10.1109/vrw55335.2022.00274
Publikováno v:
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9c833b07cc1e553d781508a2fd797d3
https://doi.org/10.1109/vrw55335.2022.00280
https://doi.org/10.1109/vrw55335.2022.00280
Publikováno v:
Expert Systems with Applications. 128:157-168
Recently, Convolutional Network (CNN) has become an excellent solution to solve single image super resolution (SISR) problems. In this paper, a novel Deep Parallel Residual Network (DPRN) has been proposed which has been proved to be a fast and effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::286bfad47b08f7e2d8d908e5ae6dfc52
https://doi.org/10.1016/j.eswa.2019.03.032
https://doi.org/10.1016/j.eswa.2019.03.032
Despite the recent progress in light field super-resolution (LFSR) achieved by convolutional neural networks, the correlation information of light field (LF) images has not been sufficiently studied and exploited due to the complexity of 4D LF data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d74304f7241e2f6edaa257a48d1de6c6
Autor:
Grant Moule, Weidong Cai, Mohammed Bennamoun, Henry Wing Fung Yeung, Meng Zhou, Wanli Ouyang, Yuk Ying Chung, Wayne Thompson
Publikováno v:
Expert Systems with Applications. 191:116210
Satellite images have become more easily accessible due to government programs and the availability of commercial earth observation satellites. The increased volume of data and the recent advancement in deep learning-based techniques have made possib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9587061d83008f931366d250c785fbb5
https://doi.org/10.1016/j.eswa.2021.116210
https://doi.org/10.1016/j.eswa.2021.116210
Publikováno v:
VR Workshops
2D image editing has been a well-studied problem. However, 2D image processing techniques cannot be directly applied to the emerging light field image (LFI) due to the particular structural characteristics of LFI. Without a dedicatedly designed editi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cebb08a55290262c65f129723a314c0
https://doi.org/10.1109/vrw50115.2020.00153
https://doi.org/10.1109/vrw50115.2020.00153
Publikováno v:
Multimedia Tools and Applications. 78:29211-29227
Image classification is a well-studied problem. However, there remains challenges for some special categories of images. This paper proposes a new deep convolutional neural network to improve image classification using extra light-field angular infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::050a017e6aa921e05f09210fe3dd8de8
https://doi.org/10.1007/s11042-018-6597-x
https://doi.org/10.1007/s11042-018-6597-x
Publikováno v:
Applied Soft Computing. 66:319-329
Large number of object trackers based on particle swarm optimization (PSO) and its variants have been published in the recent decade. However, the majority of algorithms does not perform well when evaluated against the online object tracking benchmar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca92f59b964f4730563a23e2c548466
https://doi.org/10.1016/j.asoc.2018.02.037
https://doi.org/10.1016/j.asoc.2018.02.037