6 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
Zhili Liu, Kai Chen, Jianhua Han +4
Masked Autoencoder~(MAE) is a prevailing self-supervised learning method that achieves promising results in model pre-training. However, when the various downstream tasks have data…
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation
Kai Chen, Enze Xie, Zhe Chen +4
Diffusion models have attracted significant attention due to the remarkable ability to create content and generate data for tasks like image classification. However, the usage of d…
Mixed Autoencoder for Self-supervised Visual Representation Learning
Kai Chen, Zhili Liu, Lanqing Hong +3
Masked Autoencoder (MAE) has demonstrated superior performance on various vision tasks via randomly masking image patches and reconstruction. However, effective data augmentation s…
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
Kai Chen, Lanqing Hong, Hang Xu +2
Autonomous driving has attracted much attention over the years but turns out to be harder than expected, probably due to the difficulty of labeled data collection for model trainin…