26 citations · 36 across the 10 of their papers we have counts for
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cs.CV2024
Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition
Junzheng Zhang, Weijia Guo, Bochao Liu +3
Very low-resolution face recognition is challenging due to the serious loss of informative facial details in resolution degradation. In this paper, we propose a generative-discrimi…
cs.CV2023★ 1 cited
Private Gradient Estimation is Useful for Generative Modeling
Bochao Liu, Pengju Wang, Weijia Guo +4
While generative models have proved successful in many domains, they may pose a privacy leakage risk in practical deployment. To address this issue, differentially private generati…
cs.CV2017★ 8 cited
Image Matters: Visually modeling user behaviors using Advanced Model Server
Tiezheng Ge, Liqin Zhao, Guorui Zhou +13
In Taobao, the largest e-commerce platform in China, billions of items are provided and typically displayed with their images. For better user experience and business effectiveness…