10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Training Generative Adversarial Networks with Adaptive Composite Gradient
Huiqing Qi, Fang Li, Shengli Tan +1
The wide applications of Generative adversarial networks benefit from the successful training methods, guaranteeing that an object function converges to the local minima. Neverthel…
cs.CV2020★ 1 cited
Zero-Shot Recognition through Image-Guided Semantic Classification
Mei-Chen Yeh, Fang Li
We present a new embedding-based framework for zero-shot learning (ZSL). Most embedding-based methods aim to learn the correspondence between an image classifier (visual representa…
cs.CV2017★ 10 cited
Generative Adversarial Network based on Resnet for Conditional Image Restoration
Meng Wang, Huafeng Li, Fang Li
The GANs promote an adversarive game to approximate complex and jointed example probability. The networks driven by noise generate fake examples to approximate realistic data distr…