Huangying Zhan

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huangying Zhan trusts overall

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

  1. David G. Lowe
  2. Diederik P. Kingma
  3. Kaiming He
  4. Ashutosh Saxena
  5. Andreas Geiger
  6. Geoffrey E. Hinton
  7. Navneet Dalal
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Huangying Zhan overall

  1. Yuliang Zou
  2. Clément Godard
  3. Marvin Klingner
  4. Alex Zihao Zhu
  5. Muhamad Risqi U. Saputra
  6. Jiawang Bian
  7. Oisin Mac Aodha
  8. Chaoqiang Zhao
  9. Zelun Luo

Papers from Huangying Zhan's perspective

Ordered by how strongly the researchers Huangying Zhan 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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