Ibrahim Kajo

According to our database, Ibrahim Kajo authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Subspace-guided GAN for realistic single-image dehazing scenarios.

Ibrahim Kajo, Mohamed Kas, Abderrazak Chahi, Yassine Ruichek

Neural Comput. Appl., September, 2024

MFGAN: towards a generic multi-kernel filter based adversarial generator for image restoration.

Abderrazak Chahi, Mohamed Kas, Ibrahim Kajo, Yassine Ruichek

Int. J. Mach. Learn. Cybern., March, 2024

DLL-GAN: Degradation-level-based learnable adversarial loss for image enhancement.

Mohamed Kas, Abderrazak Chahi, Ibrahim Kajo, Yassine Ruichek

Expert Syst. Appl., March, 2024

EigenGAN: An SVD subspace-based learning for image generation using Conditional GAN.

Mohamed Kas, Abderrazak Chahi, Ibrahim Kajo, Yassine Ruichek

Knowl. Based Syst., 2024

No-reference quality evaluation of realistic hazy images via singular value decomposition.

Ibrahim Kajo, Abderrazak Chahi, Mohamed Kas, Yassine Ruichek

Neurocomputing, 2024

2023

Learning by competing: Competitive multi-generator based adversarial learning.

Ibrahim Kajo, Mohamed Kas, Abderrazak Chahi, Yassine Ruichek

Appl. Soft Comput., October, 2023

Tensor based completion meets adversarial learning: A win-win solution for change detection on unseen videos.

Ibrahim Kajo, Mohamed Kas, Yassine Ruichek, Nidal S. Kamel

Comput. Vis. Image Underst., 2023

History Based Incremental Singular Value Decomposition for Background Initialization and Foreground Segmentation.

Ibrahim Kajo, Yassine Ruichek, Nidal S. Kamel

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.

Salah Eddine Bekhouche, Ibrahim Kajo, Yassine Ruichek, Fadi Dornaika

Neural Networks, 2022

Coarse-to-fine SVD-GAN based framework for enhanced frame synthesis.

Mohamed Kas, Ibrahim Kajo, Yassine Ruichek

Eng. Appl. Artif. Intell., 2022

2021

Tensor-Based Approach for Background-Foreground Separation in Maritime Sequences.

Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek

IEEE Trans. Intell. Transp. Syst., 2021

Frequency-Aware SVD Decomposition and its Application to Color Magnification and Motion Denoising.

Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek, Abdul Rahman Al-Ahdal

IEEE Access, 2021

2020

Self-Motion-Assisted Tensor Completion Method for Background Initialization in Complex Video Sequences.

Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek

IEEE Trans. Image Process., 2020

2019

Incremental Tensor-Based Completion Method for Detection of Stationary Foreground Objects.

Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek

IEEE Trans. Circuits Syst. Video Technol., 2019

On Visual Periodicity Estimation Using Singular Value Decomposition.

Nidal S. Kamel, Ibrahim Kajo, Yassine Ruichek

J. Math. Imaging Vis., 2019

2018

SVD-Based Tensor-Completion Technique for Background Initialization.

Ibrahim Kajo, Nidal S. Kamel, Yassine Ruichek, Aamir Saeed Malik

IEEE Trans. Image Process., 2018

An adaptive block-based matching algorithm for crowd motion sequences.

Ibrahim Kajo, Nidal S. Kamel, Aamir Saeed Malik

Multim. Tools Appl., 2018

2015

Motion estimation of crowd flow using optical flow techniques: A review.

Ibrahim Kajo, Aamir Saeed Malik, Nidal S. Kamel

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.

Ibrahim Kajo, Nidal S. Kamel, Aamir Saeed Malik

Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013