Tong He

Computer Vision and Pattern Recognition · with Collomosse · 2020

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tong He trusts overall

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

  1. Thiemo Alldieck
  2. William E. Lorensen
  3. Angjoo Kanazawa
  4. Shunsuke Saito
  5. Haoqiang Fan
  6. Chen-Hsuan Lin
  7. Julian Chibane
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Aaron S. Jackson

Papers from Tong He's perspective

Ordered by how strongly the researchers Tong He 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers