Search Results for author: Dun Liang

Found 6 papers, 2 papers with code

Are we ready for a new paradigm shift? A Survey on Visual Deep MLP

1 code implementation7 Nov 2021 Ruiyang Liu, Yinghui Li, Linmi Tao, Dun Liang, Hai-Tao Zheng

In the GPU era, the locally and globally weighted summations are the current mainstreams, represented by the convolution and self-attention mechanism, as well as MLP.

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.

Recursive-NeRF: An Efficient and Dynamically Growing NeRF

1 code implementation19 May 2021 Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng, Dun Liang, Tai-Jiang Mu, Shi-Min Hu

Only query coordinates with high uncertainties are forwarded to the next level to a bigger neural network with a more powerful representational capability.

What and Where: A Context-based Recommendation System for Object Insertion

no code implementations24 Nov 2018 Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter Hall, Shi-Min Hu

In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes.

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