ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.07985
  4. Cited By
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous
  Mobile Processors

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors

21 August 2019
Royson Lee
Stylianos I. Venieris
L. Dudziak
S. Bhattacharya
Nicholas D. Lane
    SupR
ArXivPDFHTML

Papers citing "MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors"

4 / 4 papers shown
Title
Domain Adaptation for Inertial Measurement Unit-based Human Activity
  Recognition: A Survey
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey
Avijoy Chakma
A. Faridee
Indrajeet Ghosh
Nirmalya Roy
16
4
0
07 Apr 2023
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile
  Devices
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices
Sicong Liu
Xiaocheng Li
Zimu Zhou
Bin Guo
Mengsu Zhang
Haocheng Shen
Zhiwen Yu
16
6
0
29 Nov 2022
Compiler-Aware Neural Architecture Search for On-Mobile Real-time
  Super-Resolution
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution
Yushu Wu
Yifan Gong
Pu Zhao
Yanyu Li
Zheng Zhan
Wei Niu
Hao Tang
Minghai Qin
Bin Ren
Yanzhi Wang
SupR
MQ
19
23
0
25 Jul 2022
OODIn: An Optimised On-Device Inference Framework for Heterogeneous
  Mobile Devices
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
Stylianos I. Venieris
Ioannis Panopoulos
I. Venieris
34
13
0
08 Jun 2021
1