81 citations · 112 across the 4 of their papers we have counts for
4 papers
Double Forward Propagation for Memorized Batch Normalization
Yong Guo, Qingyao Wu, Chaorui Deng +2
Batch Normalization (BN) has been a standard component in designing deep neural networks (DNNs). Although the standard BN can significantly accelerate the training of DNNs and impr…
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss
Yong Guo, Qi Chen, Jian Chen +5
Deep neural networks have exhibited promising performance in image super-resolution (SR) due to the power in learning the non-linear mapping from low-resolution (LR) images to high…
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture
Kai Qiao, Chi Zhang, Linyuan Wang +4
In neuroscience, all kinds of computation models were designed to answer the open question of how sensory stimuli are encoded by neurons and conversely, how sensory stimuli can be…
Toward a deeper understanding of Visualization through keyword analysis
Petra Isenberg, Tobias Isenberg, Michael Sedlmair +2
We present the results of a comprehensive analysis of visualization paper keywords supplied for 4366 papers submitted to five main visualization conferences. We describe main keywo…