Shuwen Xiao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 16 citations into it
• Question Answering & Reading Comprehension — 12 citations into it
• Model Architectures — 8 citations into it

Whom Shuwen Xiao trusts overall

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

1. Yoshua Bengio
2. Karen Simonyan
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Kaiming He
8. Ilya Sutskever
9. Yann LeCun
10. Jimmy Ba

Who trusts Shuwen Xiao overall

1. Devshree Patel
2. Abdul Jabbar

Papers from Shuwen Xiao's perspective

Ordered by how strongly the researchers Shuwen Xiao 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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

• Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks (2018) — 61 citations
• Open-Ended Video Question Answering via Multi-Modal Conditional Adversarial Networks (2020) — 35 citations