Zehong Shen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Zehong Shen trusts overall

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

  1. Kaiming He
  2. David G. Lowe
  3. Krystian Mikolajczyk
  4. Ross B. Girshick
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Daniel DeTone
  8. Tsung-Yi Lin
  9. Cordelia Schmid
  10. X. Zhang

Who trusts Zehong Shen overall

  1. Vincent Leroy
  2. Philipp Lindenberger
  3. Fu Li

Papers from Zehong Shen's perspective

Ordered by how strongly the researchers Zehong Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  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