Zobrazeno 1 - 10
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pro vyhledávání: '"Coviello, Giuseppe"'
Autor:
Paul, Sibendu, Rao, Kunal, Coviello, Giuseppe, Sankaradas, Murugan, Po, Oliver, Hu, Y. Charlie, Chakradhar, Srimat T.
IoT sensors, especially video cameras, are ubiquitously deployed around the world to perform a variety of computer vision tasks in several verticals including retail, healthcare, safety and security, transportation, manufacturing, etc. To amortize th
Externí odkaz:
http://arxiv.org/abs/2212.04061
Autor:
Paul, Sibendu, Rao, Kunal, Coviello, Giuseppe, Sankaradas, Murugan, Po, Oliver, Hu, Y. Charlie, Chakradhar, Srimat
Cameras are increasingly being deployed in cities, enterprises and roads world-wide to enable many applications in public safety, intelligent transportation, retail, healthcare and manufacturing. Often, after initial deployment of the cameras, the en
Externí odkaz:
http://arxiv.org/abs/2211.08504
Autor:
Paul, Sibendu, Rao, Kunal, Coviello, Giuseppe, Sankaradas, Murugan, Po, Oliver, Hu, Y. Charlie, Chakradhar, Srimat
It is a common practice to think of a video as a sequence of images (frames), and re-use deep neural network models that are trained only on images for similar analytics tasks on videos. In this paper, we show that this leap of faith that deep learni
Externí odkaz:
http://arxiv.org/abs/2208.12644
The exponential growth in smart sensors and rapid progress in 5G networks is creating a world awash with data streams. However, a key barrier to building performant multi-sensor, distributed stream processing applications is high programming complexi
Externí odkaz:
http://arxiv.org/abs/2111.04959
Autor:
Rao, Kunal, Coviello, Giuseppe, Feng, Min, Debnath, Biplob, Hsiung, Wang-Pin, Sankaradas, Murugan, Yang, Yi, Po, Oliver, Drolia, Utsav, Chakradhar, Srimat
Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening system, F3S, that uses edge machine learning techniques to accurately mea
Externí odkaz:
http://arxiv.org/abs/2109.01733
Centralized cloud computing with 100+ milliseconds network latencies cannot meet the tens of milliseconds to sub-millisecond response times required for emerging 5G applications like autonomous driving, smart manufacturing, tactile internet, and augm
Externí odkaz:
http://arxiv.org/abs/2109.01201
Autor:
Paul, Sibendu, Rao, Kunal, Coviello, Giuseppe, Sankaradas, Murugan, Po, Oliver, Hu, Y. Charlie, Chakradhar, Srimat T.
In Video Analytics Pipelines (VAP), Analytics Units (AUs) such as object detection and face recognition running on remote servers critically rely on surveillance cameras to capture high-quality video streams in order to achieve high accuracy. Modern
Externí odkaz:
http://arxiv.org/abs/2107.03964
Akademický článek
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Akademický článek
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Publikováno v:
Circuits and Systems I: Regular Papers, IEEE Transactions on; 2024, Vol. 71 Issue: 3 p1443-1455, 13p
