8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 8 cited
Masked autoencoders are effective solution to transformer data-hungry
Jiawei Mao, Honggu Zhou, Xuesong Yin +1
Vision Transformers (ViTs) outperforms convolutional neural networks (CNNs) in several vision tasks with its global modeling capabilities. However, ViT lacks the inductive bias inh…
cs.CV2022
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou, Xiaogang Peng, Jiawei Mao +2
Some self-supervised cross-modal learning approaches have recently demonstrated the potential of image signals for enhancing point cloud representation. However, it remains a quest…
cs.CV2022★ 1 cited
Improvements to Self-Supervised Representation Learning for Masked Image Modeling
Jiawei Mao, Xuesong Yin, Yuanqi Chang +1
This paper explores improvements to the masked image modeling (MIM) paradigm. The MIM paradigm enables the model to learn the main object features of the image by masking the input…