Can Wang

Computer Vision and Pattern Recognition · with Chai · 2021

A researcher in the Science corpus: 2 papers; trusts 151 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Can Wang trusts overall

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

  1. Tero Karras
  2. Rameen Abdal
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yujun Shen
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Can Wang overall

  1. Sosuke Kobayashi
  2. Lukas Höllein
  3. Rinon Gal
  4. Tianyi Wei
  5. Taoran Yi
  6. Ang Cao
  7. Eiichi Matsumoto

Papers from Can Wang's perspective

Ordered by how strongly the researchers Can Wang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers