Kaede Shiohara
Scholar

Kaede Shiohara

Google Scholar ID: NME5NOoAAAAJ
The University of Tokyo
generative modelsface recognitionface forgery detection
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Citations & Impact
All-time
Citations
634
 
H-index
5
 
i10-index
4
 
Publications
12
 
Co-authors
6
list available
Contact
Emailshiohara@cvm.t.u-tokyo.ac.jpCVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
6 items
Unified Vector Floorplan Generation via Markup Representation
2026
Cited
0
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
2026
Cited
0
AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference
2026
Cited
0
ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
arXiv.org · 2026
Cited
0
ControlVP: Interactive Geometric Refinement of AI-Generated Images with Consistent Vanishing Points
2025
Cited
0
Robust Deepfake Detection for Electronic Know Your Customer Systems Using Registered Images
2025
Cited
0
Resume (English only)
Research Experience
  • Currently a postdoc at Computer Vision and Media Lab.
Background
  • Research Interests: Computer vision and pattern recognition, especially face generation and forgery detection. Affiliation: Computer Vision and Media Lab.
Co-authors
6 total
Toshihiko Yamasaki
Toshihiko Yamasaki
Department of Information and Communication Engineering, The University of Tokyo
Takafumi Taketomi
Takafumi Taketomi
CyberAgent
Xingchao Yang
Xingchao Yang
CyberAgent, AILab
Risa Shinoda
Risa Shinoda
The University of Osaka
Kazunori Hayashi
Kazunori Hayashi
Professor, Kyoto University
Tatsumi SUNADA
Tatsumi SUNADA
The University of Tokyo