Tianyuan Zhang

Computer Vision and Pattern Recognition · Conference on Robot Learning · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 854 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Tianyuan Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ilya Sutskever
  10. Shaoqing Ren

Who trusts Tianyuan Zhang overall

  1. Eric Wong
  2. Tianyu Pang
  3. Leslie Rice
  4. Zhe Gan
  5. Junjie Huang
  6. Xingyi Zhou
  7. Jianwei Yang
  8. Chen Zhu
  9. Pengchuan Zhang
  10. Cihang Xie

Papers from Tianyuan Zhang's perspective

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

Their papers