25 citations · 35 across the 10 of their papers we have counts for
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cs.CV2023
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
Xin Ding, Yongwei Wang, Zuheng Xu
Continuous Conditional Generative Adversarial Networks (CcGANs) enable generative modeling conditional on continuous scalar variables (termed regression labels). However, they can…
cs.CV2021★ 25 cited
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Xin Ding, Yongwei Wang, Zuheng Xu +2
Knowledge distillation (KD) has been actively studied for image classification tasks in deep learning, aiming to improve the performance of a student based on the knowledge from a…
cs.CV2020★ 8 cited
Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms
Xin Ding, Yongwei Wang, Zuheng Xu +2
This work proposes the continuous conditional generative adversarial network (CcGAN), the first generative model for image generation conditional on continuous, scalar conditions (…