Sicheng Zhao

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 9 papers; trusts 656 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sicheng Zhao trusts overall

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

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

Who trusts Sicheng Zhao overall

  1. Bichen Wu
  2. Quanzeng You
  3. Sergey I. Nikolenko
  4. Rui Yang
  5. Chenfeng Xu
  6. Xiaoliang Dai
  7. Zhen Wang

Papers from Sicheng Zhao's perspective

Ordered by how strongly the researchers Sicheng 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  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