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Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point cloud super-resolution is a fundamental problem for 3D reconstruct...
08/06/2019 ∙ by Huikai Wu, et al. ∙
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SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
In this paper, we aim at automatically searching an efficient network ar...
04/16/2019 ∙ by Huikai Wu, et al. ∙
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FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
Modern approaches for semantic segmentation usually employ dilated convo...
03/28/2019 ∙ by Huikai Wu, et al. ∙
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Fast End-to-End Trainable Guided Filter
Image processing and pixel-wise dense prediction have been advanced by h...
03/15/2018 ∙ by Huikai Wu, et al. ∙
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MSC: A Dataset for Macro-Management in StarCraft II
Macro-management is an important problem in StarCraft, which has been st...
10/09/2017 ∙ by Huikai Wu, et al. ∙
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A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
Image cropping aims at improving the aesthetic quality of images by adju...
09/14/2017 ∙ by Debang Li, et al. ∙
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GP-GAN: Towards Realistic High-Resolution Image Blending
Recent advances in generative adversarial networks (GANs) have shown pro...
03/21/2017 ∙ by Huikai Wu, et al. ∙
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