Tianhong Li

Computer Vision and Pattern Recognition · with Zhao · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 347 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tianhong Li trusts overall

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

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

Who trusts Tianhong Li overall

  1. Haoli Bai
  2. Lin Wang
  3. Jianping Gou
  4. Jiaxiang Wu
  5. Kuk-Jin Yoon
  6. Chengchao Shen
  7. Muyang Li
  8. Xiaomeng Xin
  9. Baosheng Yu
  10. Yulin Wang

Papers from Tianhong Li's perspective

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

Their papers