Robert Y. Wang

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Y. Wang trusts overall

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

  1. Antonio Torralba
  2. Rob Fergus
  3. Alex Krizhevsky
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Karen Simonyan
  7. Yann LeCun
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Robert Y. Wang overall

  1. Srinath Sridhar
  2. Danhang Tang
  3. Sergio Escalera
  4. Hong Cheng
  5. Hui Liang
  6. I. Oikonomidis
  7. Munir Oudah
  8. Arjun Jain
  9. Andreas Baak
  10. Zahoor Zafrulla

Papers from Robert Y. Wang's perspective

Ordered by how strongly the researchers Robert Y. 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers