Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Diksha Moolchandani"'
Autor:
Diksha Moolchandani, Kishore Yadav, Geesara Kulathunga, Ilya Afanasyev, Anshul Kumar, Manuel Mazzara, Smruti Sarangi
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 6:1-29
Present-day path planning algorithms for UAVs rely on various parameters that need to be tuned at runtime to be able to plan the best possible route. For example, for a sampling-based algorithm, the number of samples plays a crucial role. The dimensi
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 19:1-27
The unprecedented growth of edge computing and 5G has led to an increased offloading of mobile applications to cloud servers or edge cloudlets. 1 The most prominent workloads comprise computer vision applications. Conventional wisdom suggests that co
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:4252-4265
With the growth of edge computing, application-specific workloads based on computer vision are steadily migrating to edge cloudlets. Scheduling has been identified to be a major problem in these cloudlets. In this article, we propose a generic archit
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
Journal of Systems Architecture. 130:102644
Autor:
Geesara Prathap, Diksha Moolchandani, Manuel Mazzara, Anshul Kumar, Ilya Afanasyev, Smruti R. Sarangi
Publikováno v:
VLSI Design
Modern UAV s are incredibly complex systems with numerous tunable knobs such as the battery capacity, camera settings, sampling rate, constraints on the route, etc. The area of theoretical exploration of the optimization problems that arise in such s
Publikováno v:
ISPASS
With the advent of edge computing and 5G, multiple mobile applications are being offloaded to cloud servers to meet their computational demands. Computer vision workloads dominate this space. Since the vision workloads are composed of linear algebra
Publikováno v:
SCC
We use license servers to verify users' credentials and to restrict access to proprietary software. Due to logistical reasons, it is often economical to use third-party servers to manage licenses. Sadly, users on client machines can mount sophisticat
Publikováno v:
Journal of Systems Architecture. 113:101887
Convolutional neural networks (CNNs) have proven to be a disruptive technology in most vision, speech and image processing tasks. Given their ubiquitous acceptance, the research community is investing a lot of time and resources on deep neural networ