Ran Tao

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2011–2022

A researcher in the Science corpus: 6 papers; trusts 140 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Tao trusts overall

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

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

Who trusts Ran Tao overall

  1. Xiaolong Chen

Papers from Ran Tao's perspective

Ordered by how strongly the researchers Ran Tao 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers