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. 2408.07530
  4. Cited By
Towards Real-time Video Compressive Sensing on Mobile Devices

Towards Real-time Video Compressive Sensing on Mobile Devices

14 August 2024
Miao Cao
Lishun Wang
Huan Wang
Guoqing Wang
Xin Yuan
    3DGS
ArXivPDFHTML

Papers citing "Towards Real-time Video Compressive Sensing on Mobile Devices"

3 / 3 papers shown
Title
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive
  Imaging
Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging
Zhuoyuan Wu
Jian Zhang
Chong Mou
MedIm
40
60
0
14 Sep 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
195
5,176
0
16 Sep 2016
1