activity
20172024
most citedImproving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training

61 citations · 153 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV20241 cited

Low-Light Enhancement Effect on Classification and Detection: An Empirical Study

Xu Wu, Zhihui Lai, Zhou Jie +4

Low-light images are commonly encountered in real-world scenarios, and numerous low-light image enhancement (LLIE) methods have been proposed to improve the visibility of these ima…

cs.CV20222 cited

Cross Language Image Matching for Weakly Supervised Semantic Segmentation

Jinheng Xie, Xianxu Hou, Kai Ye +1

It has been widely known that CAM (Class Activation Map) usually only activates discriminative object regions and falsely includes lots of object-related backgrounds. As only a fix…

cs.CV202211 cited

FEAT: Face Editing with Attention

Xianxu Hou, Linlin Shen, Or Patashnik +2

Employing the latent space of pretrained generators has recently been shown to be an effective means for GAN-based face manipulation. The success of this approach heavily relies on…

cs.CV20212 cited

Manifold-preserved GANs

Haozhe Liu, Hanbang Liang, Xianxu Hou +3

Generative Adversarial Networks (GANs) have been widely adopted in various fields. However, existing GANs generally are not able to preserve the manifold of data space, mainly due…

eess.IV2021

VHS to HDTV Video Translation using Multi-task Adversarial Learning

Hongming Luo, Guangsen Liao, Xianxu Hou +3

There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition tel…

cs.CV20204 cited

GuidedStyle: Attribute Knowledge Guided Style Manipulation for Semantic Face Editing

Xianxu Hou, Xiaokang Zhang, Linlin Shen +2

Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there still lac…