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. 1908.01940
  4. Cited By
Restoration of Non-rigidly Distorted Underwater Images using a
  Combination of Compressive Sensing and Local Polynomial Image Representations

Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations

6 August 2019
Jerin Geo James
Pranay Agrawal
Ajit V. Rajwade
ArXiv (abs)PDFHTML

Papers citing "Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations"

4 / 4 papers shown
Title
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
278
2,450
0
07 Sep 2017
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
347
4,181
0
26 Apr 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical
  Flow
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow
Jérôme Revaud
Philippe Weinzaepfel
Zaïd Harchaoui
Cordelia Schmid
90
797
0
12 Jan 2015
Faster and better: a machine learning approach to corner detection
Faster and better: a machine learning approach to corner detection
E. Rosten
R. Porter
Tom Drummond
101
1,922
0
14 Oct 2008
1