Haibin Huang

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 8 papers; trusts 474 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Haibin Huang trusts overall

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

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

Who trusts Haibin Huang overall

  1. Xian-Feng Han
  2. Stephan R. Richter
  3. Bowen Wen
  4. Jiajun Wu
  5. Nantheera Anantrasirichai
  6. Bo Yang
  7. Matheus Gadelha
  8. Maxim Tatarchenko
  9. Xiuming Zhang

Papers from Haibin Huang's perspective

Ordered by how strongly the researchers Haibin Huang 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. 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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