Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Biyi Fang"'
Publikováno v:
SenSys
Video cameras have been deployed at scale today. Driven by the breakthrough in deep learning (DL), organizations that have deployed these cameras start to use DL-based techniques for live video analytics. Although existing systems aim to optimize liv
Publikováno v:
SEC
Mobile vision systems powered by the recent advancement in Deep Neural Networks (DNNs) are enabling a wide range of on-device video analytics applications. Considering mobile systems are constrained with limited resources, reducing resource demands o
Autor:
Yuanchao Shu, Biyi Fang, Shen Yan, Nicholas D. Lane, Hui Xu, Zhang Fa'en, Mi Zhang, Xiao Zeng
Publikováno v:
Fog Computing
The era of edge computing has arrived. Although the Internet is the backbone of edge computing, its true value lies at the intersection of gathering data from sensors and extracting meaningful information from the sensor data. We envision that in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba8bfd99ddb2fbaa372f755a48445e5
http://arxiv.org/abs/2010.08861
http://arxiv.org/abs/2010.08861
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-21
With the advent of immersive virtual reality (VR) head-mounted displays (HMD), we envision that immersive VR will revolutionize the personal fitness experience in our daily lives. Toward this vision, we present JARVIS, a virtual exercise assistant th
Publikováno v:
ICCV Workshops
The use of automatic methods, often referred to as Neural Architecture Search (NAS), in designing neural network architectures has recently drawn considerable attention. In this work, we present an efficient NAS approach, named HM- NAS, that generali
Mobile vision systems such as smartphones, drones, and augmented-reality headsets are revolutionizing our lives. These systems usually run multiple applications concurrently and their available resources at runtime are dynamic due to events such as s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfadc459ae5c8f90a8d0f28261eaf41
http://arxiv.org/abs/1810.10090
http://arxiv.org/abs/1810.10090
Publikováno v:
SenSys
There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5d6e7f7b723f840d57cd3a68722946
http://arxiv.org/abs/1802.07584
http://arxiv.org/abs/1802.07584
Publikováno v:
UbiComp
In the U.S., people spend approximately 90 percent of their time indoors. Unfortunately, indoor air quality (IAQ) may be two to five times worse than the air outdoors, and is often overlooked. Existing IAQ monitoring technologies focus on IAQ measure
Publikováno v:
MobiSys (Companion Volume)
The popularity of wearables continues to rise. However, their functions and applications are constrained by the types of sensors that are currently available. Inertial sensors can only track motions of body parts to which they are attached. Microphon
Publikováno v:
MobiSys (Companion Volume)
We demonstrate JARVIS, a novel virtual coaching system based on virtual reality (VR) and Internet of Things (IoT) technologies. It creates a truly immersive gym exercising experience for machine-based strength training and guides users in a highly in