Ran Tao

Computer Vision and Pattern Recognition · with Li · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 809 researchers and is trusted by 35 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. Ross B. Girshick
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Karen Simonyan
  6. Naiyan Wang
  7. Andrew Zisserman
  8. Kaiming He
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Ran Tao overall

  1. Zhipeng Zhang
  2. Goutam Bhat
  3. Martin Danelljan
  4. Qiang Wang
  5. Bo Li
  6. Yibing Song
  7. Chao Ma
  8. Luca Bertinetto
  9. Hamed Kiani Galoogahi
  10. Tianzhu Zhang

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. 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