Kailai Zhou

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 120 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kailai Zhou trusts overall

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

  1. Kaiming He
  2. Shanshan Zhang
  3. Ross B. Girshick
  4. Tsung-Yi Lin
  5. Xavier Glorot
  6. Yoshua Bengio
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Geoffrey E. Hinton
  10. Piotr Doll'ar

Papers from Kailai Zhou's perspective

Ordered by how strongly the researchers Kailai Zhou 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers