Search Results for author: Meng-Hao Guo

Found 6 papers, 5 papers with code

Is Attention Better Than Matrix Decomposition?

1 code implementation ICLR 2021 Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin

As an essential ingredient of modern deep learning, attention mechanism, especially self-attention, plays a vital role in the global correlation discovery.

Image Generation Semantic Segmentation

Subdivision-Based Mesh Convolution Networks

1 code implementation4 Jun 2021 Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin

Meshes with arbitrary connectivity can be remeshed to hold Loop subdivision sequence connectivity via self-parameterization, making SubdivNet a general approach.

3D Classification

Can Attention Enable MLPs To Catch Up With CNNs?

no code implementations31 May 2021 Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu

In the first week of May, 2021, researchers from four different institutions: Google, Tsinghua University, Oxford University and Facebook, shared their latest work [16, 7, 12, 17] on arXiv. org almost at the same time, each proposing new learning architectures, consisting mainly of linear layers, claiming them to be comparable, or even superior to convolutional-based models.

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks

5 code implementations5 May 2021 Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu

Attention mechanisms, especially self-attention, have played an increasingly important role in deep feature representation for visual tasks.

Image Classification Image Generation +4

PCT: Point cloud transformer

8 code implementations17 Dec 2020 Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu

It is inherently permutation invariant for processing a sequence of points, making it well-suited for point cloud learning.

Ranked #11 on 3D Part Segmentation on ShapeNet-Part (Instance Average IoU metric)

3D Part Segmentation 3D Point Cloud Classification

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