25 citations · 70 across the 17 of their papers we have counts for
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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.CV2021
Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
Xin Ding, Yongwei Wang, Z. Jane Wang +1
Recently, subsampling or refining images generated from unconditional GANs has been actively studied to improve the overall image quality. Unfortunately, these methods are often ob…
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 (…