2 citations · 6 across the 7 of their papers we have counts for
7 papers
Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation
Chen Zhao, Wei-Ling Cai, Zheng Yuan +1
Recently, unsupervised image-to-image translation methods based on contrastive learning have achieved state-of-the-art results in many tasks. However, in the previous works, the ne…
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation
Chen Zhao, Wei-Ling Cai, Zheng Yuan
Existing image-to-image (I2I) translation methods achieve state-of-the-art performance by incorporating the patch-wise contrastive learning into Generative Adversarial Networks. Ho…
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan, Jie Zhang, Shiguang Shan
Adversarial attacks provide a good way to study the robustness of deep learning models. One category of methods in transfer-based black-box attack utilizes several image transforma…
Adaptive Perturbation for Adversarial Attack
Zheng Yuan, Jie Zhang, Zhaoyan Jiang +2
In recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples.…
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
Zheng Yuan, Andre Esteva, Ran Xu
Few-shot learning is a standard practice in most deep learning based histopathology image segmentation, given the relatively low number of digitized slides that are generally avail…
Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia +3
In recent years, research on adversarial attacks has become a hot spot. Although current literature on the transfer-based adversarial attack has achieved promising results for impr…
Attributes Aware Face Generation with Generative Adversarial Networks
Zheng Yuan, Jie Zhang, Shiguang Shan +1
Recent studies have shown remarkable success in face image generations. However, most of the existing methods only generate face images from random noise, and cannot generate face…