Tao Han

Computer Vision and Pattern Recognition · with Han · 2020

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Han trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Jacob Devlin
  6. Amanpreet Singh
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Ashish Vaswani
  10. Diederik P. Kingma

Papers from Tao Han's perspective

Ordered by how strongly the researchers Tao Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers