# Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-task-learning-for-detecting-and-segmenting-manipulated-facial-images-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Huy H. Nguyen,Fuming Fang,Junichi Yamagishi,Isao Echizen |
| Citations | 529 |
| DOI | 10.1109/btas46853.2019.9185974 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.pure.ed.ac.uk/ws/files/99988254/Multi_task_Learning_for_Detecting_NGUYEN_DoA150619_AFV.pdf |
| OpenAlex ID | https://openalex.org/W3083246145 |
| Type | conference-paper |
| Year | 2019 |

## Paper authors

- [Isao Echizen](https://scholariq.org/researchers/isao-echizen/)

## Paper primary topic

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

## Paper topics

- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)
- [Adversarial Robustness in Machine Learning](https://scholariq.org/topics/adversarial-robustness-in-machine-learning/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

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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.