Sibo Liu

Computer Vision and Pattern Recognition · with Cao · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sibo Liu trusts overall

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

  1. Raanan Fattal
  2. Daniel Scharstein
  3. Jean-Philippe Tarel
  4. Robby T. Tan
  5. Mohinder Malhotra
  6. Yann LeCun
  7. Kaiming He
  8. Heiko Hirschmüller
  9. David Eigen
  10. Yoshua Bengio

Who trusts Sibo Liu overall

  1. Codruta Orniana Ancuti
  2. Wenqi Ren
  3. He Zhang
  4. Cosmin Ancuți
  5. Zewei He
  6. Yanyun Qu
  7. Xiang Li
  8. Boyun Li
  9. Deniz Engin
  10. Wenhan Yang

Papers from Sibo Liu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers