Yinan He

Computer Vision and Pattern Recognition · 2022–2025

A researcher in the Science corpus: 11 papers; trusts 821 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yinan He trusts overall

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

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

Who trusts Yinan He overall

  1. Kunchang Li
  2. Yi Wang
  3. Tsai-Shien Chen
  4. Muhammad Maaz
  5. Lin Xu
  6. Ziqi Huang

Papers from Yinan He's perspective

Ordered by how strongly the researchers Yinan He 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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