Tianbao Zhou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 291 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianbao Zhou trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Barret Zoph
  6. Yoshua Bengio
  7. Quoc V. Le
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Tianbao Zhou overall

  1. Xin He
  2. Antoine Yang
  3. Xiangxiang Chu

Papers from Tianbao Zhou's perspective

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

Their papers