ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2508.10672
  4. Cited By
Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation
v1v2 (latest)

Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation

14 August 2025
Feiran Li
Qianqian Xu
Shilong Bao
Boyu Han
Zhiyong Yang
Qingming Huang
ArXiv (abs)PDFHTMLGithub

Papers citing "Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation"

2 / 2 papers shown
Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection
Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection
Boyu Han
Qianqian Xu
Shilong Bao
Zhiyong Yang
Sicong Li
Qingming Huang
EgoVMoE
416
0
0
16 Sep 2025
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Xiaolei Wei
Yi Ouyang
Haibo Ye
MoMe
147
0
0
27 Aug 2025
1