Tian Fang

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 6 papers; trusts 366 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Fang trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. David G. Lowe
  5. Kaiming He
  6. Alex Krizhevsky
  7. Johannes L. Schönberger
  8. Yoshua Bengio
  9. Heiko Hirschmüller
  10. Karen Simonyan

Who trusts Tian Fang overall

  1. Yao Yao
  2. Gernot Riegler

Papers from Tian Fang's perspective

Ordered by how strongly the researchers Tian Fang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers