Skip to content

Clan-labs/TensorRingCompletion

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
October 16, 2019 19:46
October 16, 2019 19:46
October 16, 2019 19:46
October 16, 2019 19:46
October 16, 2019 19:46
October 16, 2019 19:46
October 16, 2019 19:46
v1
October 16, 2019 19:43
October 16, 2019 19:46
October 16, 2019 19:46

TensorRingCompletion

Copyright @ Wenqi Wang, 2017

To run the Tensor Ring Completion algorithm

(1) run Einstein.m for Einstein image completion

(2) run Video.m for Gunshot video completion

(3) run YaleFace.m for YaleFace image completion


Terms of use:

The code is provided for research purpose only without any warranty. Any commercial use if prohibited

When using the code, please cite the following paper:

Efficient Low Rank Tensor Ring Completion Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 5697-5705

Available: http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Efficient_Low_Rank_ICCV_2017_paper.pdf


Please contact Wenqi Wang (wang2041 [At] purdue [Dot] edu) for any questions about the code.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Languages