Jian Zhao

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 487 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Zhao trusts overall

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

  1. Aliaksandr Siarohin
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Andrew Zisserman
  6. Adrian Bulat
  7. Paul Ekman
  8. Justin Johnson
  9. Diederik P. Kingma
  10. Ilya Sutskever

Who trusts Jian Zhao overall

  1. Shenhao Zhu
  2. Junming Chen
  3. Zuozhuo Dai
  4. Liucheng Hu
  5. Xiaodong Cun

Papers from Jian Zhao's perspective

Ordered by how strongly the researchers Jian Zhao 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers