Yezhen Cong

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yezhen Cong trusts overall

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

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

Who trusts Yezhen Cong overall

  1. Valerio Marsocci
  2. Wei Zhang
  3. Mat'ias Mendieta
  4. Keyan Chen
  5. Colorado Reed
  6. Simone Scardapane
  7. Danfeng Hong

Papers from Yezhen Cong's perspective

Ordered by how strongly the researchers Yezhen Cong 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers