81 citations · 112 across the 10 of their papers we have counts for
18 papers
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao, Mandi Luo, Junchi Yu +2
Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-sp…
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Jia Li, Jie Cao, JunXian Duan +1
We propose a new challenging task namely IDentity Stylization (IDS) across heterogeneous domains. IDS focuses on stylizing the content identity, rather than completely swapping it…
SwinIR: Image Restoration Using Swin Transformer
Jingyun Liang, Jiezhang Cao, Guolei Sun +3
Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy and compressed images). Whil…
PersonalityGate: A General Plug-and-Play GNN Gate to Enhance Cascade Prediction with Personality Recognition Task
Dengcheng Yan, Jie Cao, Yiwen Zhang +1
Cascade prediction estimates the size or the state of a cascade from either microscope or macroscope. It is of paramount importance for understanding the information diffusion proc…
ReMix: Towards Image-to-Image Translation with Limited Data
Jie Cao, Luanxuan Hou, Ming-Hsuan Yang +2
Image-to-image (I2I) translation methods based on generative adversarial networks (GANs) typically suffer from overfitting when limited training data is available. In this work, we…
Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao +3
We propose an augmented Parallel-Pyramid Net () with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable…