Tao Yu

Computer Vision and Pattern Recognition · with Dai · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Yu trusts overall

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

  1. Gerard Pons-Moll
  2. Jonathan Taylor
  3. Diederik P. Kingma
  4. Michael J. Black
  5. Federica Bogo
  6. Hao Li
  7. Geoffrey E. Hinton
  8. William E. Lorensen
  9. Jamie Shotton
  10. Juergen Gall

Who trusts Tao Yu overall

  1. Zerong Zheng
  2. Julian Chibane
  3. Bharat Lal Bhatnagar
  4. Thiemo Alldieck
  5. Gerard Pons-Moll
  6. Yebin Liu
  7. Qionghai Dai
  8. Yuliang Xiu
  9. Shunsuke Saito
  10. Tong He

Papers from Tao Yu's perspective

Ordered by how strongly the researchers Tao Yu 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. 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. Et al
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers