Xiaoqiang Yan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Multimodal Learning — 8 citations into it

Whom Xiaoqiang Yan trusts overall

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

1. Li Fei-Fei
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Zisserman
8. Kaiming He
9. Diederik P. Kingma
10. Ruslan Salakhutdinov

Papers from Xiaoqiang Yan's perspective

Ordered by how strongly the researchers Xiaoqiang Yan 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep multi-view learning methods: A review (2021) — 336 citations