Yuanchao Bai

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanchao Bai trusts overall

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

  1. Raanan Fattal
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky

Papers from Yuanchao Bai's perspective

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

Their papers