Zeyi Huang

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 928 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Zeyi Huang trusts overall

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

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

Who trusts Zeyi Huang overall

  1. Yusuke Iwasawa
  2. Oren Nuriel
  3. Daehee Kim
  4. Quande Liu
  5. Xingyi Zhou
  6. Kanchana Ranasinghe
  7. Qinwei Xu
  8. Xingxuan Zhang
  9. Yuge Shi
  10. Yutaka Matsuo

Papers from Zeyi Huang's perspective

Ordered by how strongly the researchers Zeyi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers