Li Bai

Computer Vision and Pattern Recognition · Pattern Analysis and Applications · 2006–2011

A researcher in the Science corpus: 4 papers; trusts 59 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Li Bai trusts overall

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

  1. Chengjun Liu
  2. Matthew A. Turk
  3. Hua Yu
  4. R. Fisher
  5. Harry Wechsler
  6. Kilian Q. Weinberger
  7. Peter N. Belhumeur
  8. Alex Pentland
  9. Jie Yang
  10. Nello Cristianini

Who trusts Li Bai overall

  1. Gary B. Huang
  2. Dong Yi
  3. Orit Kliper-Gross
  4. Jiwen Lu
  5. Sefik Ilkin Serengil
  6. Junlin Hu
  7. Yi Sun
  8. Qiong Cao
  9. Yair Hanani
  10. Zhen Lei

Papers from Li Bai's perspective

Ordered by how strongly the researchers Li 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers