Haifeng Hu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haifeng Hu trusts overall

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

  1. Aishwarya Agrawal
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Devi Parikh
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Dhruv Batra

Papers from Haifeng Hu's perspective

Ordered by how strongly the researchers Haifeng Hu 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. Going deeper with convolutions

Their papers