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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
We study the problem of efficient semantic segmentation for large-scale ...
11/25/2019 ∙ by Qingyong Hu, et al. ∙
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Defo-Net: Learning Body Deformation using Generative Adversarial Networks
Modelling the physical properties of everyday objects is a fundamental p...
04/16/2018 ∙ by Zhihua Wang, et al. ∙
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Neural Allocentric Intuitive Physics Prediction from Real Videos
Humans are able to make rich predictions about the future dynamics of ph...
09/07/2018 ∙ by Zhihua Wang, et al. ∙
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Learning with Stochastic Guidance for Navigation
Due to the sparse rewards and high degree of environment variation, rein...
11/27/2018 ∙ by Linhai Xie, et al. ∙
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Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning
Deep Reinforcement Learning (DRL) has been applied successfully to many ...
12/12/2018 ∙ by Linhai Xie, et al. ∙
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