Huaijin Pi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 91 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huaijin Pi trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Xingyi Zhou
  4. Bharath Hariharan
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Jitendra Malik
  9. Diederik P. Kingma
  10. Shaoqing Ren

Papers from Huaijin Pi's perspective

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

Their papers