He Wang

Computer Vision and Pattern Recognition · with Guibas · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 493 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom He Wang 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. Shaoqing Ren
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Tsung-Yi Lin
  10. Diederik P. Kingma

Who trusts He Wang overall

  1. Meng Tian
  2. Zhigang Li
  3. Bowen Wen
  4. Xingyu Liu
  5. Kevin Zakka
  6. Yann Labb'e
  7. Yisheng He
  8. Xiuwei Xu
  9. Yen-Chen Lin
  10. Congyue Deng

Papers from He Wang's perspective

Ordered by how strongly the researchers He Wang 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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