Baian Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Baian Chen trusts overall

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

  1. Diederik P. Kingma
  2. Aude Oliva
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Simon Niklaus
  6. Jimmy Ba
  7. Alex Krizhevsky
  8. Thomas Brox
  9. Kaiming He
  10. Antonio Torralba

Who trusts Baian Chen overall

  1. Wenbo Bao
  2. Guo Lu
  3. Simon Niklaus
  4. Jiahao Li
  5. Zhihao Hu
  6. Muhammad Haris
  7. Yapeng Tian
  8. Xintao Wang

Papers from Baian Chen's perspective

Ordered by how strongly the researchers Baian Chen 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers