Hanzi Mao

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 807 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Hanzi Mao trusts overall

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

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

Who trusts Hanzi Mao overall

  1. Chien-Yao Wang
  2. Weihao Yu
  3. Ao Wang
  4. Daiqi Shi
  5. Pavan Kumar Anasosalu Vasu
  6. Meng-Hao Guo
  7. Yongming Rao
  8. Matthias Minderer
  9. Wenliang Zhao
  10. Zhihao Duan

Papers from Hanzi Mao's perspective

Ordered by how strongly the researchers Hanzi Mao 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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