Xi Ouyang

Computer Vision and Pattern Recognition · 2018–2020

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

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it

Whom Xi Ouyang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ross B. Girshick
5. Alex Krizhevsky
6. Yann LeCun
7. Yoshua Bengio
8. Vinod Nair
9. Ilya Sutskever
10. Tsung-Yi Lin

Who trusts Xi Ouyang overall

1. Guang Yang

Papers from Xi Ouyang's perspective

Ordered by how strongly the researchers Xi Ouyang 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. 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia (2020) — 328 citations
• A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory (2018) — 435 citations