Ye Yuan

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 832 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ye Yuan trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Max Welling
  10. Ross B. Girshick

Who trusts Ye Yuan overall

  1. Andreas Blattmann
  2. Omid Taheri
  3. Xinshuo Weng
  4. Kris M. Kitani
  5. Karttikeya Mangalam
  6. Mathis Petrovich
  7. Michael J. Black
  8. Yanglan Ou
  9. Jiaming Song
  10. Vasileios Choutas

Papers from Ye Yuan's perspective

Ordered by how strongly the researchers Ye Yuan 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images

Their papers