Shuang Wang

Computer Vision and Pattern Recognition · with Zhang · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it
• Artificial Intelligence — 35 citations into it
• Human-Computer Interaction — 19 citations into it
• Media Technology — 8 citations into it
• 3D Vision & Pose — 7 citations into it

Whom Shuang Wang trusts overall

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

1. Ivan Laptev
2. Alex Krizhevsky
3. David G. Lowe
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Kaiming He
7. Ilya Sutskever
8. Karen Simonyan
9. Andrew Y. Ng
10. Yoshua Bengio

Papers from Shuang Wang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Histograms of oriented gradients for human detection
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Enhancing Protein Function Prediction Performance by Utilizing AlphaFold-Predicted Protein Structures (2022) — 56 citations
• A Review on Human Activity Recognition Using Vision-Based Method (2017) — 306 citations