Xin Ye

Computer Vision and Pattern Recognition · with Yang · 2020

A researcher in the Science corpus: 1 paper; trusts 436 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 26 citations into it
• Reinforcement Learning — 16 citations into it
• Multimodal Learning — 11 citations into it
• Aerospace Engineering — 10 citations into it
• Robotics & Control — 10 citations into it
• Natural Language Processing — 7 citations into it

Whom Xin Ye trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ruslan Salakhutdinov
7. Ross B. Girshick
8. Yann LeCun
9. Ilya Sutskever
10. Saurabh Gupta

Papers from Xin Ye's perspective

Ordered by how strongly the researchers Xin Ye 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. 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN) (2020) — 17 citations