# Isao Echizen

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/isao-echizen/

## Facts

| Field | Value |
| --- | --- |
| Citations | 6,048 |
| Field | Advanced Steganography and Watermarking Techniques |
| h-index | 24 |
| i10-index | 69 |
| Last Known Institution | Tokyo University of Agriculture |
| OpenAlex ID | https://openalex.org/A5044556342 |
| ORCID iD | 0000-0003-4908-1860 |
| Works | 493 |

## Researcher papers

- [MesoNet: a Compact Facial Video Forgery Detection Network](https://scholariq.org/papers/mesonet-a-compact-facial-video-forgery-detection-network/)
- [Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos](https://scholariq.org/papers/capsule-forensics-using-capsule-networks-to-detect-forged-images-and-videos/)
- [Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos](https://scholariq.org/papers/multi-task-learning-for-detecting-and-segmenting-manipulated-facial-images-and/)
- [Distinguishing computer graphics from natural images using convolution neural networks](https://scholariq.org/papers/distinguishing-computer-graphics-from-natural-images-using-convolution-neural/)
- [Aspects of privacy for electronic health records](https://scholariq.org/papers/aspects-of-privacy-for-electronic-health-records/)
- [Use of a Capsule Network to Detect Fake Images and Videos](https://scholariq.org/papers/use-of-a-capsule-network-to-detect-fake-images-and-videos/)
- [High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network](https://scholariq.org/papers/high-quality-nonparallel-voice-conversion-based-on-cycle-consistent-adversarial/)
- [Speaker Anonymization Using X-vector and Neural Waveform Models](https://scholariq.org/papers/speaker-anonymization-using-x-vector-and-neural-waveform-models/)
- [Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-Based Detection](https://scholariq.org/papers/generating-sentiment-preserving-fake-online-reviews-using-neural-language-models/)
- [OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild](https://scholariq.org/papers/openforensics-large-scale-challenging-dataset-for-multi-face-forgery-detection/)
- [Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection](https://scholariq.org/papers/enhancing-media-literacy-the-effectiveness-of-human-annotations-and-bias/)

## Researcher topics

- [Advanced Steganography and Watermarking Techniques](https://scholariq.org/topics/advanced-steganography-and-watermarking-techniques/)
- [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/)
- [Privacy-Preserving Technologies in Data](https://scholariq.org/topics/privacy-preserving-technologies-in-data/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

## Researcher university

- [Tokyo University of Agriculture](https://scholariq.org/institutions/tokyo-university-of-agriculture/)

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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.