Haibing Ren

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haibing Ren trusts overall

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

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

Who trusts Haibing Ren overall

  1. Ho Kei Cheng

Papers from Haibing Ren's perspective

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

Their papers