515 citations · 1.2k across the 19 of their papers we have counts for
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3 papers · 1 filter
cs.CV2017★ 2 cited
Efficient and Invariant Convolutional Neural Networks for Dense Prediction
Hongyang Gao, Shuiwang Ji
Convolutional neural networks have shown great success on feature extraction from raw input data such as images. Although convolutional neural networks are invariant to translation…
cs.CV2017★ 10 cited
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai, Hongyang Gao, Shuiwang Ji
Variational auto-encoder (VAE) is a powerful unsupervised learning framework for image generation. One drawback of VAE is that it generates blurry images due to its Gaussianity ass…
cs.LG2017★ 31 cited
Pixel Deconvolutional Networks
Hongyang Gao, Hao Yuan, Zhengyang Wang +1
Deconvolutional layers have been widely used in a variety of deep models for up-sampling, including encoder-decoder networks for semantic segmentation and deep generative models fo…