# StyleBusters: Protecting the intellectual property rights of designers using deep learning techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/stylebusters-protecting-the-intellectual-property-rights-of-designers-using-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Walid Mohamed,Sherif Wael,Abdelrahman Hesham,Adham Moataz,Mahmoud ElSahhar,Fatma Helmy Ismail |
| Citations | 2 |
| DOI | 10.1109/miucc58832.2023.10278318 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387827748 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Abdelrahman Hesham](https://scholariq.org/researchers/abdelrahman-hesham/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)
- [Visual Attention and Saliency Detection](https://scholariq.org/topics/visual-attention-and-saliency-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.