4 citations · 16 across the 9 of their papers we have counts for
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3 papers · 1 filter
cs.CV2021★ 1 cited
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
Xin Li, Xin Jin, Jun Fu +3
Collecting amounts of distorted/clean image pairs in the real world is non-trivial, which seriously limits the practical applications of these supervised learning-based methods on…
eess.IV2021★ 1 cited
Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment
Jun Fu, Chen Hou, Wei Zhou +2
In no-reference 360-degree image quality assessment (NR 360IQA), graph convolutional networks (GCNs), which model interactions between viewports through graphs, have achieved impre…
cs.LG2021★ 3 cited
Bayesian Graph Convolutional Network for Traffic Prediction
Jun Fu, Wei Zhou, Zhibo Chen
Recently, adaptive graph convolutional network based traffic prediction methods, learning a latent graph structure from traffic data via various attention-based mechanisms, have ac…