Jinyuan Shao
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #18,872 of 21,575 by trust here, #17,258 by citations
- Media Technology — 9 citations into it; #3,023 of 3,621 by trust here, #2,598 by citations
- Artificial Intelligence — 8 citations into it
- Atmospheric Science — 7 citations into it; #3,809 of 4,804 by trust here, #3,555 by citations
Whom Jinyuan Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jinyuan Shao overall
Papers from Jinyuan Shao's perspective
Ordered by how strongly the researchers Jinyuan Shao trusts endorse each paper. Same corpus, a different order for every researcher.
- Fully convolutional networks for semantic segmentation
- Densely Connected Convolutional Networks
- Identity Mappings in Deep Residual Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Wide Residual Networks
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images (2021) — 1,226 citations