Yi Wang

Computer Vision and Pattern Recognition · with Jodoin · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Wang trusts overall

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

  1. Thierry Bouwmans
  2. Olivier Barnich
  3. Sebastian Brutzer
  4. Yoshua Bengio
  5. Pierre-Marc Jodoin
  6. Yann LeCun
  7. Marc Van Droogenbroeck
  8. Yannick Benezeth
  9. Nil Goyette
  10. Geoffrey E. Hinton

Who trusts Yi Wang overall

  1. Thierry Bouwmans
  2. Sajid Javed
  3. Chris H. Bahnsen
  4. Mohammadreza Babaee
  5. Belmar García García
  6. Pierre-Luc St-Charles
  7. Jhony-Heriberto Giraldo-Zuluaga
  8. Namrata Vaswani
  9. Maryam Sultana
  10. Thomas Baltzer Moeslund

Papers from Yi Wang's perspective

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

Their papers