Ibrahim Kajo

Orcid: 0000-0002-0102-0279

According to our database1, Ibrahim Kajo authored at least 16 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2024
MFGAN: towards a generic multi-kernel filter based adversarial generator for image restoration.
Int. J. Mach. Learn. Cybern., March, 2024

DLL-GAN: Degradation-level-based learnable adversarial loss for image enhancement.
Expert Syst. Appl., March, 2024

2023
Learning by competing: Competitive multi-generator based adversarial learning.
Appl. Soft Comput., October, 2023

Tensor based completion meets adversarial learning: A win-win solution for change detection on unseen videos.
Comput. Vis. Image Underst., 2023

History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection.
Neural Networks, 2022

Coarse-to-fine SVD-GAN based framework for enhanced frame synthesis.
Eng. Appl. Artif. Intell., 2022

2021
Tensor-Based Approach for Background-Foreground Separation in Maritime Sequences.
IEEE Trans. Intell. Transp. Syst., 2021

Frequency-Aware SVD Decomposition and its Application to Color Magnification and Motion Denoising.
IEEE Access, 2021

2020
Self-Motion-Assisted Tensor Completion Method for Background Initialization in Complex Video Sequences.
IEEE Trans. Image Process., 2020

2019
Incremental Tensor-Based Completion Method for Detection of Stationary Foreground Objects.
IEEE Trans. Circuits Syst. Video Technol., 2019

On Visual Periodicity Estimation Using Singular Value Decomposition.
J. Math. Imaging Vis., 2019

2018
SVD-Based Tensor-Completion Technique for Background Initialization.
IEEE Trans. Image Process., 2018

An adaptive block-based matching algorithm for crowd motion sequences.
Multim. Tools Appl., 2018

2015
Motion estimation of crowd flow using optical flow techniques: A review.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

2013
A Comparison Study on Different Crowd Motion Estimation Algorithms Using Matlab.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013


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