Shuyuan Yang

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 669 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 234 citations into it
• Artificial Intelligence — 76 citations into it
• Model Architectures — 13 citations into it
• Sensory Systems — 13 citations into it
• Human-Computer Interaction — 11 citations into it

Whom Shuyuan Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yann LeCun
7. Andrew Zisserman
8. Yoshua Bengio
9. Diederik P. Kingma
10. Christian Szegedy

Papers from Shuyuan Yang's perspective

Ordered by how strongly the researchers Shuyuan Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Residual Spectral-Spatial Attention Network for Hyperspectral Image Classification (2021) — 438 citations
• New Contour Cue-Based Hybrid Sparse Learning for Salient Object Detection (2019) — 15 citations
• A Survey of Deep Learning-Based Object Detection (2019) — 1,141 citations