Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Hsu-Feng Hsiao"'
Autor:
Chin-Han Shen, Hsu-Feng Hsiao
Publikováno v:
IEEE Access, Vol 10, Pp 98512-98524 (2022)
With the rapid development of devices for virtual reality, massive amounts of multimedia data have been produced to enrich the immersive experience. To construct vivid virtual reality, high-resolution content is required to achieve a good user experi
Externí odkaz:
https://doaj.org/article/060d0ca9279b48a8b0f678c4be00ddf2
Autor:
Hsu-Feng Hsiao, 蕭旭峰
95
Osteoarthritis(OA) is a major public health problem due to its high prevalence, costs, and levels of pain and disability. Occupational physical demand is generally considered to be a contributing risk of osteoarthritis, but clear dose-respons
Osteoarthritis(OA) is a major public health problem due to its high prevalence, costs, and levels of pain and disability. Occupational physical demand is generally considered to be a contributing risk of osteoarthritis, but clear dose-respons
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/26872873080238880930
Autor:
Hsu-feng Hsiao, 蕭旭峰
93
The arrival of cyber times of internet, begin from the campus network, the internet network enters in each family by now, countless networks communication products join this huge communication network, the communication industry of the networ
The arrival of cyber times of internet, begin from the campus network, the internet network enters in each family by now, countless networks communication products join this huge communication network, the communication industry of the networ
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/91106895951314794167
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Publikováno v:
ISCAS
In this paper, the architecture of random linear network coding based on the hybrid coding in multiple Galois field sizes is proposed. Random linear network coding is an efficient network coding approach that enables network to generate independently
Publikováno v:
APCCAS
The lifelike results of using face swapping have contributed greatly to the research in computer vision. In this work, we extend the architecture of faceswap-GAN in order to obtain more natural results compared to the original framework. In the origi
Publikováno v:
ISCAS
Superpixel segmentation has been proved its effectiveness as a preprocessing step for many applications. Similarly, the over-segmentation with temporal consistency of a video can be useful for quite a few researches. In this paper, a novel supervoxel
Publikováno v:
2019 IEEE Asia-Pacific Microwave Conference (APMC).
The paper proposes the on-wafer non-fifty ohm X-parameter model verification measurement system so that RF designer can verify the active device designed in nonlinear amplifier. The measured output power contours and power added efficiency (PAE) cont
Publikováno v:
ISCAS
We have proposed a multi-contextual model architecture with color and depth information considered independently in this work. To utilize the feature maps of different levels better, short connection structures are used to integrate the knowledge fro
Publikováno v:
DSL
In this paper, a learning based salient object detection method for RGBD images is introduced. With the assistance of depth information, the silhouette features of an object can be retrieved primarily, and it can lead to better detection of salient o