Bin Huang

Computer Vision and Pattern Recognition · with Chen · 2023

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Huang trusts overall

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

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

Who trusts Bin Huang overall

  1. Zesen Cheng

Papers from Bin Huang's perspective

Ordered by how strongly the researchers Bin 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. 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