81 citations · 112 across the 4 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.CV2018★ 13 cited
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…
cs.CV2018★ 18 cited
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…