Mehmet Sarigul

Orcid: 0000-0001-7323-6864

According to our database1, Mehmet Sarigul authored at least 14 papers between 2017 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Full-Frame Video Stabilization via Spatiotemporal Transformers.
Comput. Vis. Media, 2025

One-Step Specular Highlight Removal with Adapted Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Illuminate the night: lightweight fusion and enhancement model for extreme low-light burst images.
J. Real Time Image Process., December, 2024

Logarithmic Learning Differential Convolutional Neural Network.
Neural Networks, 2024

Comparison of Machine Learning Methods in Assessing Druglikeness of Chemical Molecules: Example of Lipinski Descriptors and Lipinski Rules.
Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023
A survey on digital video stabilization.
Multim. Tools Appl., November, 2023

Region contrastive camera localization.
Pattern Recognit. Lett., May, 2023

2022
Performance Evaluation of Different Optimization Techniques for Image-based Camera Localization.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

2020
Case Study: Deep Convolutional Networks in Healthcare.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Deep Convolutional Generalized Classifier Neural Network.
Neural Process. Lett., 2020

2019
A new deep learning approach: Differential convolutional neural network (Yeni bir derin öğrenme yaklaşımı: Farksal konvolüsyonel sinir ağı)
PhD thesis, 2019

Differential convolutional neural network.
Neural Networks, 2019

2018
Performance comparison of different momentum techniques on deep reinforcement learning.
J. Inf. Telecommun., 2018

2017
Performance comparision of different momentum techniques on deep reinforcement learning.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017


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