Tianrun Shen

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianrun Shen trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. J. Alex Stark
  4. Geoffrey E. Hinton
  5. Xueyang Fu
  6. Alex Krizhevsky
  7. Chongyi Li
  8. Syed Waqas Zamir
  9. Diederik P. Kingma
  10. Xiaojie Guo

Papers from Tianrun Shen's perspective

Ordered by how strongly the researchers Tianrun 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers