Bin Guo

Computer Vision and Pattern Recognition · ACM Computing Surveys · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Guo trusts overall

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

  1. Yu Zheng
  2. Yehuda Koren
  3. Yoshua Bengio
  4. Radford M. Neal
  5. Geoffrey E. Hinton
  6. Nathan Eagle
  7. John D. Lafferty
  8. Michael J. Pazzani
  9. Wei Chu
  10. Ying Wei

Who trusts Bin Guo overall

  1. Hui Yang
  2. Christopher Fifty
  3. Zhu Wang
  4. Huadong Ma
  5. Zhiwen Yu

Papers from Bin Guo's perspective

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

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

Their papers