Renshuai Tao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renshuai Tao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Jia Deng
  6. Hei Law
  7. Christian Szegedy
  8. Karen Simonyan
  9. Joseph Redmon
  10. Yoshua Bengio

Papers from Renshuai Tao's perspective

Ordered by how strongly the researchers Renshuai Tao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers