Shuang Wang

Computer Vision and Pattern Recognition · with Gao · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 87 citations into it
• Artificial Intelligence — 42 citations into it
• Biomedical Engineering — 31 citations into it
• Human-Computer Interaction — 27 citations into it
• 3D Vision & Pose — 14 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 6 citations into it

Whom Shuang Wang trusts overall

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

1. Alex Krizhevsky
2. Basura Fernando
3. Pichao Wang
4. Wanqing Li
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Karen Simonyan
8. Alex Smola
9. Xiaodong Yang
10. Kaiming He

Who trusts Shuang Wang overall

1. Pichao Wang
2. Zehua Sun

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

Their papers

• Spatially and Temporally Structured Global to Local Aggregation of Dynamic Depth Information for Action Recognition (2018) — 18 citations
• Structured Images for RGB-D Action Recognition (2017) — 57 citations