Venice Erin Liong

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 310 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Venice Erin Liong trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Antonio Torralba
  4. Kaiming He
  5. Yoshua Bengio
  6. Ruslan Salakhutdinov
  7. Brian Kulis
  8. Yann LeCun
  9. Rob Fergus
  10. Ilya Sutskever

Who trusts Venice Erin Liong overall

  1. Jingkuan Song
  2. Li Liu
  3. Shiv Ram Dubey
  4. Fumin Shen
  5. Wu-Jun Li
  6. Yuming Shen
  7. Qing-Yuan Jiang
  8. Chen Huang
  9. Haomiao Liu
  10. Jun Wang

Papers from Venice Erin Liong's perspective

Ordered by how strongly the researchers Venice Erin Liong 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers